Probabilistic Human Recognition from Video. - Shaohua Kevin Zhou; Rama Chellappa (ECCV (3), 2002)

Exemplar-Based Face Recognition from Video. - Volker Krüger; Shaohua Kevin Zhou (FGR, 2002)

Face Recognition from Video: A CONDENSATION Approach. - Shaohua Kevin Zhou; Volker Krüger; Rama Chellappa (FGR, 2002)

Synthesis of visual textures and perceptual asymmetry of visual texture perception. - Shaohua Kevin Zhou; Y. V. Venkatesh; C. C. Ko (ICARCV, 2002)

Bayesian methods for face recognition from video. - Rama Chellappa; Shaohua Kevin Zhou; Baoxin Li (ICASSP, 2002)

A Robust Algorithm for Probabilistic Human Recognition From. - Shaohua Kevin Zhou; Rama Chellappa (ICPR (1), 2002)

Rank Constrained Recognition under Unknown Illuminations. - Shaohua Kevin Zhou; Rama Chellappa (AMFG, 2003)

A comparison of subspace analysis for face recognition. - Jian Li 022; Shaohua Kevin Zhou; Chandra Shekhar 002 (ICASSP (3), 2003)

Simultaneous tracking and recognition of human faces from video. - Shaohua Kevin Zhou; Rama Chellappa (ICASSP (3), 2003)

Adaptive visual tracking and recognition using particle filters. - Shaohua Kevin Zhou; Rama Chellappa; Baback Moghaddam (ICME, 2003)

Probabilistic recognition of human faces from video. - Shaohua Kevin Zhou; Volker Krüger; Rama Chellappa (Comput. Vis. Image Underst., 2003)

Probabilistic Identity Characterization for Face Recognition. - Shaohua Kevin Zhou; Rama Chellappa (CVPR (2), 2004)

Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints. - Shaohua Kevin Zhou; Rama Chellappa; David W. Jacobs (ECCV (1), 2004)

Illuminating Light Field: Image-based Face Recognition Across Illuminations and Poses. - Shaohua Kevin Zhou; Rama Chellappa (FGR, 2004)

Intra-Personal Kernel Space for Face Recognition. - Shaohua Kevin Zhou; Rama Chellappa; Baback Moghaddam (FGR, 2004)

Probabilistic face recognition from compressed imagery. - Jian Li 022; Shaohua Kevin Zhou (ICASSP (5), 2004)

Appearance-based tracking and recognition using the 3D trilinear tensor. - Jie Shao 007; Shaohua Kevin Zhou; Rama Chellappa (ICASSP (3), 2004)

Robust two-camera tracking using homography. - Zhanfeng Yue; Shaohua Kevin Zhou; Rama Chellappa (ICASSP (3), 2004)

Simultaneous background and foreground modeling for tracking in surveillance video. - Jie Shao 007; Shaohua Kevin Zhou; Rama Chellappa (ICIP, 2004)

Robust Appearance-Based Tracking of Moving Object from Moving Platform. - Jie Shao 007; Shaohua Kevin Zhou; Qinfen Zheng (ICPR (4), 2004)

Multiple-Exemplar Discriminant Analysis for Face Recognition. - Shaohua Kevin Zhou; Rama Chellappa (ICPR (4), 2004)

Face Recognition Using More than One Still Image: What Is More? - Shaohua Kevin Zhou (SINOBIOMETRICS, 2004)

Visual tracking and recognition using appearance-adaptive models in particle filters. - Shaohua Kevin Zhou; Rama Chellappa; Baback Moghaddam (IEEE Trans. Image Process., 2004)

A Binary Decision Tree Implementation of a Boosted Strong Classifier. - Shaohua Kevin Zhou (AMFG, 2005)

Video Background Retrieval using Mosaic Images. - Xue Mei; Mahesh Ramachandran; Shaohua Kevin Zhou (ICASSP (2), 2005)

A method for converting a smiling face to a neutral face with applications to face recognition. - Mahesh Ramachandran; Shaohua Kevin Zhou; Divya Jhalani; Rama Chellappa (ICASSP (2), 2005)

Tracking Algorithm Using Background-Foreground Motion Models and Multiple Cues. - Jie Shao 007; Shaohua Kevin Zhou; Rama Chellappa (ICASSP (2), 2005)

Appearance Modeling Under Geometric Context. - Jian Li 022; Shaohua Kevin Zhou; Rama Chellappa (ICCV, 2005)

Image Based Regression Using Boosting Method. - Shaohua Kevin Zhou; Bogdan Georgescu; Xiang Sean Zhou; Dorin Comaniciu (ICCV, 2005)

Recognition of Humans and Their Activities Using Video - Rama Chellappa; Amit K. Roy-Chowdhury; Shaohua Kevin Zhou (Morgan & Claypool Publishers, 2005)

BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation. - Shaohua Kevin Zhou; Bogdan Georgescu; Dorin Comaniciu; Jie Shao 007 (CVPR (2), 2006)

Image-Based Multiclass Boosting and Echocardiographic View Classification. - Shaohua Kevin Zhou; Jin Hyeong Park; Bogdan Georgescu; Dorin Comaniciu; Costas Simopoulos; Joanne Otsuki (CVPR (2), 2006)

Integrating Video Information over Time. Example: Face Recognition from Video. - Volker Krüger; Shaohua Kevin Zhou; Rama Chellappa (Cognitive Vision Systems, 2006)

Example Based Non-rigid Shape Detection. - Yefeng Zheng 001; Xiang Sean Zhou; Bogdan Georgescu; Shaohua Kevin Zhou; Dorin Comaniciu (ECCV (4), 2006)

Integrated Detection, Tracking and Recognition for IR Video-Based Vehicle Classification. - Xue Mei; Shaohua Kevin Zhou; Hao Wu 014 (ICASSP (5), 2006)

Pairwise Active Appearance Model and Its Application to Echocardiography Tracking. - Shaohua Kevin Zhou; Jie Shao 007; Bogdan Georgescu; Dorin Comaniciu (MICCAI (1), 2006)

From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space. - Shaohua Kevin Zhou; Rama Chellappa (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network. - Jingdan Zhang; Shaohua Kevin Zhou; Leonard McMillan; Dorin Comaniciu (CVPR, 2007)

A boosting regression approach to medical anatomy detection. - Shaohua Kevin Zhou; Jinghao Zhou; Dorin Comaniciu (CVPR, 2007)

Automatic Cardiac View Classification of Echocardiogram. - Jin Hyeong Park; Shaohua Kevin Zhou; Costas Simopoulos; Joanne Otsuki; Dorin Comaniciu (ICCV, 2007)

Robust Visual Tracking Using the Time-Reversibility Constraint. - Hao Wu 014; Rama Chellappa; Aswin C. Sankaranarayanan; Shaohua Kevin Zhou (ICCV, 2007)

A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure. - Shaohua Kevin Zhou; Feng Guo; Gustavo Carneiro 001; John Jackson; M. Brendel; Costas Simopoulos; Joanne Otsuki; Dorin Comaniciu (ICCV, 2007)

Probabilistic Visual Tracking via Robust Template Matching and Incremental Subspace Update. - Xue Mei; Shaohua Kevin Zhou; Fatih Porikli (ICME, 2007)

Shape Regression Machine. - Shaohua Kevin Zhou; Dorin Comaniciu (IPMI, 2007)

Visualizing Patient Similarity in Clinical Decision Support. - Alexey Tsymbal; Martin Huber 001; Sonja Zillner; Tamas Hauer; Shaohua Kevin Zhou (LWA, 2007)

Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification. - Xue Mei; Shaohua Kevin Zhou; Hao Wu 014; Fatih Porikli (J. Comput., 2007)

Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition. - Shaohua Kevin Zhou; Gaurav Aggarwal; Rama Chellappa; David W. Jacobs (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Hierarchical, learning-based automatic liver segmentation. - Haibin Ling; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Michael Sühling; Dorin Comaniciu (CVPR, 2008)

Conditional density learning via regression with application to deformable shape segmentation. - Jingdan Zhang; Shaohua Kevin Zhou; Dorin Comaniciu; Leonard McMillan (CVPR, 2008)

Discriminative Learning for Deformable Shape Segmentation: A Comparative Study. - Jingdan Zhang; Shaohua Kevin Zhou; Dorin Comaniciu; Leonard McMillan (ECCV (1), 2008)

Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography. - Jin Hyeong Park; Shaohua Kevin Zhou; John Jackson; Dorin Comaniciu (MICCAI (1), 2008)

AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram. - Jin Hyeong Park; Shaohua Kevin Zhou; Costas Simopoulos; Dorin Comaniciu (MICCAI (2), 2008)

Similarity Learning for Motion Estimation. - Shaohua Kevin Zhou; Jie Shao 007; Bogdan Georgescu; Dorin Comaniciu (Semantic Mining Technologies for Multimedia Databases, 2009)

Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information. - Shaolei Feng 001; Shaohua Kevin Zhou; Sara Good; Dorin Comaniciu (CVPR, 2009)

Learning multi-modal densities on Discriminative Temporal Interaction Manifold for group activity recognition. - Ruonan Li; Rama Chellappa; Shaohua Kevin Zhou (CVPR, 2009)

Robust guidewire tracking in fluoroscopy. - Peng Wang 005; Terrence Chen; Ying Zhu 006; Wei Zhang 018; Shaohua Kevin Zhou; Dorin Comaniciu (CVPR, 2009)

Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. - Yefeng Zheng 001; Bogdan Georgescu; Haibin Ling; Shaohua Kevin Zhou; Michael Scheuering; Dorin Comaniciu (CVPR, 2009)

Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation. - Terrence Chen; Wei Zhang 018; Sara Good; Shaohua Kevin Zhou; Dorin Comaniciu (ICCV, 2009)

Context ranking machine and its application to rigid localization of deformable objects. - Birkan Tunç; Shaohua Kevin Zhou; Jin Hyeong Park; Muhittin Gökmen (ICIP, 2009)

The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner. - Alexey Tsymbal; Gabor Rendes; Martin Huber 001; Shaohua Kevin Zhou (LWA, 2009)

Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model. - Johannes Feulner; Shaohua Kevin Zhou; Alexander Cavallaro; Sascha Seifert; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2009)

Coronary Tree Extraction Using Motion Layer Separation. - Wei Zhang 018; Haibin Ling; Simone Prummer; Shaohua Kevin Zhou; Martin Ostermeier; Dorin Comaniciu (MICCAI (1), 2009)

Estimating the body portion of CT volumes by matching histograms of visual words. - Johannes Feulner; Shaohua Kevin Zhou; Sascha Seifert; Alexander Cavallaro; Joachim Hornegger; Dorin Comaniciu (Image Processing, 2009)

Shape-based diagnosis of the aortic valve. - Razvan Ioan Ionasec; Alexey Tsymbal; Dime Vitanovski; Bogdan Georgescu; Shaohua Kevin Zhou; Nassir Navab; Dorin Comaniciu (Image Processing, 2009)

Hierarchical parsing and semantic navigation of full body CT data. - Sascha Seifert; Adrian Barbu; Shaohua Kevin Zhou; David Liu 001; Johannes Feulner; Martin Huber 001; Michael Sühling; Alexander Cavallaro; Dorin Comaniciu (Image Processing, 2009)

Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. - Shuang-Hong Yang; Hongyuan Zha; Shaohua Kevin Zhou; Bao-Gang Hu (ECML/PKDD (2), 2009)

Appearance Modeling Using a Geometric Transform. - Jian Li 022; Shaohua Kevin Zhou; Rama Chellappa (IEEE Trans. Image Process., 2009)

Face Recognition, Video-Based. - Rama Chellappa; Gaurav Aggarwal; Shaohua Kevin Zhou (Encyclopedia of Biometrics, 2009)

Body landmark detection for a fully automatic AAA stent graft planning software system. - Jan Egger; Shaohua Kevin Zhou; Stefan Großkopf; David Liu 001; Christian Hopfgartner; Dominik Bernhardt; Christina Biermann; Christopher Nimsky; Bernd Freisleben (CBMS, 2010)

Lymph node detection in 3-D chest CT using a spatial prior probability. - Johannes Feulner; Shaohua Kevin Zhou; Martin Huber 001; Joachim Hornegger; Dorin Comaniciu; Alexander Cavallaro (CVPR, 2010)

Search strategies for multiple landmark detection by submodular maximization. - David Liu 001; Shaohua Kevin Zhou; Dominik Bernhardt; Dorin Comaniciu (CVPR, 2010)

Multiple object detection by sequential monte carlo and Hierarchical Detection Network. - Michal Sofka; Jingdan Zhang; Shaohua Kevin Zhou; Dorin Comaniciu (CVPR, 2010)

Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images. - Jingdan Zhang; Shaohua Kevin Zhou; Shelby Brunke; Carol Lowery; Dorin Comaniciu (ISBI, 2010)

Auto-biometric for M-mode echocardiography. - Wei Zhang 018; Jin Hyeong Park; Shaohua Kevin Zhou (Computer-Aided Diagnosis, 2010)

Database-guided breast tumor detection and segmentation in 2D ultrasound images. - Jingdan Zhang; Shaohua Kevin Zhou; Shelby Brunke; Carol Lowery; Dorin Comaniciu (Computer-Aided Diagnosis, 2010)

Automatic Detection and Segmentation of Axillary Lymph Nodes. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (MICCAI (1), 2010)

Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map. - Johannes Feulner; Shaohua Kevin Zhou; Martin Huber 001; Alexander Cavallaro; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2010)

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. - B. Michael Kelm; Shaohua Kevin Zhou; Michael Sühling; Yefeng Zheng 001; Michael Wels; Dorin Comaniciu (MCV, 2010)

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. - Sushil Mittal; Yefeng Zheng 001; Bogdan Georgescu; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MLMI, 2010)

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. - Dime Vitanovski; Alexey Tsymbal; Razvan Ioan Ionasec; Bogdan Georgescu; Martin Huber 001; Andrew Mayall Taylor; Silvia Schievano; Shaohua Kevin Zhou; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2010)

Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy. - Peng Wang 005; Wei-shing Liao; Terrence Chen; Shaohua Kevin Zhou; Dorin Comaniciu (MICCAI (3), 2010)

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. - Yefeng Zheng 001; Fernando Vega Higuera; Shaohua Kevin Zhou; Dorin Comaniciu (MLMI, 2010)

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. - Yefeng Zheng 001; Matthias John 001; Rui Liao; Jan M. Boese; Uwe Kirschstein; Bogdan Georgescu; Shaohua Kevin Zhou; Jörg Kempfert; Thomas Walther; Gernot Brockmann (MICCAI (1), 2010)

Automatic landmark detection and scan range delimitation for topogram images using hierarchical network. - Wei Zhang 018; Frederic Mantlic; Shaohua Kevin Zhou (Image Processing, 2010)

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease. - Ingmar Voigt; Dime Vitanovski; Razvan Ioan Ionasec; Alexey Tsymbal; Bogdan Georgescu; Shaohua Kevin Zhou; Martin Huber 001; Nassir Navab; Joachim Hornegger; Dorin Comaniciu (Image Processing, 2010)

Learning Discriminative Distance Functions for Case Retrieval and Decision Support. - Alexey Tsymbal; Martin Huber 001; Shaohua Kevin Zhou (Trans. Case Based Reason., 2010)

Shape regression machine and efficient segmentation of left ventricle endocardium from 2D B-mode echocardiogram. - Shaohua Kevin Zhou (Medical Image Anal., 2010)

Robust Height Estimation of Moving Objects From Uncalibrated Videos. - Jie Shao 007; Shaohua Kevin Zhou; Rama Chellappa (IEEE Trans. Image Process., 2010)

Face Tracking and Recognition in Video. - Rama Chellappa; Ming Du; Pavan K. Turaga; Shaohua Kevin Zhou (Handbook of Face Recognition, 2011)

Fast boosting trees for classification, pose detection, and boundary detection on a GPU. - Neil Birkbeck; Michal Sofka; Shaohua Kevin Zhou (CVPR Workshops, 2011)

Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy. - Wen Wu 004; Terrence Chen; Peng Wang 005; Shaohua Kevin Zhou; Dorin Comaniciu; Adrian Barbu; Norbert Strobel (CVPR, 2011)

Integrated Detection Network (IDN) for pose and boundary estimation in medical images. - Michal Sofka; Kristof Ralovich; Neil Birkbeck; Jingdan Zhang; Shaohua Kevin Zhou (ISBI, 2011)

Endocardium tracking by fusing optical flows in straightened images with learning based detections. - Peng Wang 005; Shaohua Kevin Zhou; Murrill Szucs (ISBI, 2011)

A method for mass candidate detection and an application to liver lesion detection. - María Jimena Costa; Alexey Tsymbal; William Nguatem; Michael Sühling; Shaohua Kevin Zhou; Dorin Comaniciu (Computer-Aided Diagnosis, 2011)

Search for the best matching ultrasound frame based on spatial and temporal saliencies. - Shaolei Feng 001; Xiaoyan Xiang; Shaohua Kevin Zhou; Roee Lazebnik (Computer-Aided Diagnosis, 2011)

Segmentation Based Features for Lymph Node Detection from 3-D Chest CT. - Johannes Feulner; Shaohua Kevin Zhou; Matthias Hammon; Joachim Hornegger; Dorin Comaniciu (MLMI, 2011)

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. - B. Michael Kelm; Sushil Mittal; Yefeng Zheng 001; Alexey Tsymbal; Dominik Bernhardt; Fernando Vega Higuera; Shaohua Kevin Zhou; Peter Meer; Dorin Comaniciu (MICCAI (3), 2011)

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization. - Timo Kohlberger; Michal Sofka; Jingdan Zhang; Neil Birkbeck; Jens Wetzl; Jens N. Kaftan; Jérôme Declerck; Shaohua Kevin Zhou (MICCAI (3), 2011)

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes. - Michal Sofka; Jens Wetzl; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Jens N. Kaftan; Jérôme Declerck; Shaohua Kevin Zhou (MICCAI (3), 2011)

Automatic Contrast Phase Estimation in CT Volumes. - Michal Sofka; Dijia Wu; Michael Sühling; David Liu 001; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (MICCAI (3), 2011)

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. - Yefeng Zheng 001; Hüseyin Tek; Gareth Funka-Lea; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (MICCAI (3), 2011)

Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. - Yefeng Zheng 001; Tianzhou Wang; Matthias John 001; Shaohua Kevin Zhou; Jan M. Boese; Dorin Comaniciu (MICCAI (3), 2011)

Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data. - Dime Vitanovski; Alexey Tsymbal; Razvan Ioan Ionasec; Bogdan Georgescu; Shaohua Kevin Zhou; Joachim Hornegger; Dorin Comaniciu (Image-Guided Procedures, 2011)

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes. - Yefeng Zheng 001; Maciej Loziczonek; Bogdan Georgescu; Shaohua Kevin Zhou; Fernando Vega Higuera; Dorin Comaniciu (Image Processing, 2011)

Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region. - Johannes Feulner; Shaohua Kevin Zhou; Elli Angelopoulou; Sascha Seifert; Alexander Cavallaro; Joachim Hornegger; Dorin Comaniciu (Comput. Medical Imaging Graph., 2011)

A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans. - Johannes Feulner; Shaohua Kevin Zhou; Matthias Hammon; Sascha Seifert; Martin Huber 001; Dorin Comaniciu; Joachim Hornegger; Alexander Cavallaro (IEEE Trans. Medical Imaging, 2011)

A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images. - Dijia Wu; David Liu 001; Zoltan Puskas; Chao Lu 011; Andreas Wimmer; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (CVPR, 2012)

Automatic detection of liver lesion from 3D computed tomography images. - Dijia Wu; David Liu 001; Michael Sühling; Christian Tietjen; Grzegorz Soza; Shaohua Kevin Zhou (CVPR Workshops, 2012)

Automatic fetal weight estimation using 3D ultrasonography. - Shaolei Feng 001; Shaohua Kevin Zhou; Wesley Lee (Computer-Aided Diagnosis, 2012)

Automatic computation of 2D cardiac measurements from B-mode echocardiography. - Jin Hyeong Park; Shaolei Feng 001; Shaohua Kevin Zhou (Computer-Aided Diagnosis, 2012)

Anatomical Landmark Detection Using Nearest Neighbor Matching and Submodular Optimization. - David Liu 001; Shaohua Kevin Zhou (MICCAI (3), 2012)

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. - Chao Lu 011; Yefeng Zheng 001; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Christian Tietjen; Thomas Boettger; James S. Duncan; Shaohua Kevin Zhou (MICCAI (2), 2012)

A Cascade Learning Method for Liver Lesion Detection in CT Images. - Dijia Wu; David Liu 001; Michael Sühling; Shaohua Kevin Zhou; Christian Tietjen (MCV, 2012)

Automatic Detection and Segmentation of Lymph Nodes From CT Data. - Adrian Barbu; Michael Sühling; Xun Xu; David Liu 001; Shaohua Kevin Zhou; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2012)

Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images. - Dirk Breitenreicher; Michal Sofka; Stefan Britzen; Shaohua Kevin Zhou (IPMI, 2013)

Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models. - Nathan Lay; Neil Birkbeck; Jingdan Zhang; Shaohua Kevin Zhou (IPMI, 2013)

Anatomical landmark detection using multiple instance boosting with spatial regularization. - Paul Swoboda; David Liu 001; Shaohua Kevin Zhou (ISBI, 2013)

Learning the Manifold of Quality Ultrasound Acquisition. - Noha Youssry El-Zehiry; Michelle Yan; Sara Good; Tong Fang; Shaohua Kevin Zhou; Leo J. Grady (MICCAI (1), 2013)

Automatic Nuchal Translucency Measurement from Ultrasonography. - Jin Hyeong Park; Michal Sofka; SunMi Lee; Daeyoung Kim; Shaohua Kevin Zhou (MICCAI (3), 2013)

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. - Quan Wang; Dijia Wu; Le Lu 001; Meizhu Liu; Kim L. Boyer; Shaohua Kevin Zhou (MCV, 2013)

Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics. - Ruonan Li; Rama Chellappa; Shaohua Kevin Zhou (Int. J. Comput. Vis., 2013)

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior. - Johannes Feulner; Shaohua Kevin Zhou; Matthias Hammon; Joachim Hornegger; Dorin Comaniciu (Medical Image Anal., 2013)

Spine detection in CT and MR using iterated marginal space learning. - B. Michael Kelm; Michael Wels; Shaohua Kevin Zhou; Sascha Seifert; Michael Sühling; Yefeng Zheng 001; Dorin Comaniciu (Medical Image Anal., 2013)

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. - Neil Birkbeck; Timo Kohlberger; Jingdan Zhang; Michal Sofka; Jens N. Kaftan; Dorin Comaniciu; Shaohua Kevin Zhou (MICCAI (1), 2014)

Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning. - Dijia Wu; Michal Sofka; Neil Birkbeck; Shaohua Kevin Zhou (MICCAI (1), 2014)

Discriminative anatomy detection: Classification vs regression. - Shaohua Kevin Zhou (Pattern Recognit. Lett., 2014)

Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN). - Michal Sofka; Jingdan Zhang; Sara Good; Shaohua Kevin Zhou; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2014)

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (ICCV, 2015)

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. - Hien Van Nguyen; Shaohua Kevin Zhou; Raviteja Vemulapalli (MICCAI (1), 2015)

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. - Qian Wang 001; Le Lu 001; Dijia Wu; Noha Youssry El-Zehiry; Yefeng Zheng 001; Dinggang Shen; Shaohua Kevin Zhou (IEEE Trans. Medical Imaging, 2015)

Face Recognition, Video-Based. - Rama Chellappa; Gaurav Aggarwal; Shaohua Kevin Zhou (Encyclopedia of Biometrics, 2015)

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. - Hao Chen 011; Yefeng Zheng 001; Jin Hyeong Park; Pheng-Ann Heng; Shaohua Kevin Zhou (MICCAI (2), 2016)

Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency. - Qiangui Huang; Weiyue Wang 002; Shaohua Kevin Zhou; Suya You; Ulrich Neumann (CoRR, 2016)

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (Deep Learning for Medical Image Analysis, 2017)

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. - Hui Ding 002; Shaohua Kevin Zhou; Rama Chellappa (FG, 2017)

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. - Dong Yang 005; Tao Xiong; Daguang Xu; Qiangui Huang; David Liu 001; Shaohua Kevin Zhou; Zhoubing Xu; Jin Hyeong Park; Mingqing Chen; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; et al. (IPMI, 2017)

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning. - Zhoubing Xu; Qiangui Huang; Jin Hyeong Park; Mingqing Chen; Daguang Xu; Dong Yang 005; David Liu 001; Shaohua Kevin Zhou (MICCAI (3), 2017)

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. - Dong Yang 005; Tao Xiong; Daguang Xu; Shaohua Kevin Zhou; Zhoubing Xu; Mingqing Chen; Jin Hyeong Park; Sasa Grbic; Trac D. Tran; Sang Peter Chin; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. - Dong Yang 005; Daguang Xu; Shaohua Kevin Zhou; Bogdan Georgescu; Mingqing Chen; Sasa Grbic; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

A Deep Cascade Network for Unaligned Face Attribute Classification. - Hui Ding 002; Hao Zhou; Shaohua Kevin Zhou; Rama Chellappa (AAAI, 2018)

Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. - Haofu Liao; Gareth Funka-Lea; Yefeng Zheng 001; Jiebo Luo 001; Shaohua Kevin Zhou (ACCV (1), 2018)

Adversarial Sparse-View CBCT Artifact Reduction. - Haofu Liao; Zhimin Huo; William J. Sehnert; Shaohua Kevin Zhou; Jiebo Luo 001 (MICCAI (1), 2018)

More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring. - Haofu Liao; Yucheng Tang; Gareth Funka-Lea; Jiebo Luo 001; Shaohua Kevin Zhou (MICCAI (2), 2018)

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Olivier Pauly; Sasa Grbic; Thomas Mertelmeier; Julia Wicklein; Anna K. Jerebko; Weidong Cai 001; Dorin Comaniciu (MICCAI (2), 2018)

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. - Zhoubing Xu; Yuankai Huo; Jin Hyeong Park; Bennett A. Landman; Andy Milkowski; Sasa Grbic; Shaohua Kevin Zhou (MICCAI (2), 2018)

Learning to Prune Filters in Convolutional Neural Networks. - Qiangui Huang; Shaohua Kevin Zhou; Suya You; Ulrich Neumann (WACV, 2018)

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. - Sebastian Gündel; Sasa Grbic; Bogdan Georgescu; Shaohua Kevin Zhou; Ludwig Ritschl; Andreas Meier 009; Dorin Comaniciu (CoRR, 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Sasa Grbic; Weidong Cai 001; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation. - Haofu Liao; Wei-An Lin; Jiarui Zhang; Jingdan Zhang; Jiebo Luo 001; Shaohua Kevin Zhou (CVPR, 2019)

DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. - Wei-An Lin; Haofu Liao; Cheng Peng 008; Xiaohang Sun; Jingdan Zhang; Jiebo Luo 001; Rama Chellappa; Shaohua Kevin Zhou (CVPR, 2019)

3D U2-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation. - Chao Huang 009; Hu Han 001; Qingsong Yao; Shankuan Zhu; Shaohua Kevin Zhou (MICCAI (2), 2019)

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition. - Zeju Li; Han Li; Hu Han 001; Gonglei Shi; Jiannan Wang 005; Shaohua Kevin Zhou (MICCAI (6), 2019)

Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction. - Haofu Liao; Wei-An Lin; Zhimin Huo; Levon Vogelsang; William J. Sehnert; Shaohua Kevin Zhou; Jiebo Luo 001 (MICCAI (6), 2019)

Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. - Haofu Liao; Wei-An Lin; Jianbo Yuan; Shaohua Kevin Zhou; Jiebo Luo 001 (MICCAI (6), 2019)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (MLMI@MICCAI, 2019)

Combo loss: Handling input and output imbalance in multi-organ segmentation. - Saeid Asgari Taghanaki; Yefeng Zheng 001; Shaohua Kevin Zhou; Bogdan Georgescu; Puneet Sharma; Daguang Xu; Dorin Comaniciu; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2019)

Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement. - Cheng Peng 008; Wei-An Lin; Haofu Liao; Rama Chellappa; Shaohua Kevin Zhou (CoRR, 2019)

Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation. - Zengming Shen; Yifan Chen; Shaohua Kevin Zhou; Bogdan Georgescu; Xuqi Liu; Thomas S. Huang (CoRR, 2019)

SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. - Cheng Peng 008; Wei-An Lin; Haofu Liao; Rama Chellappa; S. Kevin Zhou (CVPR, 2020)

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior. - Bo Zhou 009; S. Kevin Zhou (CVPR, 2020)

Learning A Self-Inverse Network for Bidirectional Mri Image Synthesis. - Zengming Shen; Yifan Chen; Shaohua Kevin Zhou; Bogdan Georgescu; Xuqi Liu; Thomas S. Huang (ISBI, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. - Zhongyi Huang; Yao Ding 006; Guoli Song; Lin Wang 026; Ruizhe Geng; Hongliang He; Shan Du; Xia Liu; Yonghong Tian 001; Yongsheng Liang 001; S. Kevin Zhou; Jie Chen 001 (MICCAI (5), 2020)

Bounding Maps for Universal Lesion Detection. - Han Li; Hu Han 001; S. Kevin Zhou (MICCAI (4), 2020)

Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography. - Yuanyuan Lyu; Wei-An Lin; Haofu Liao; Jingjing Lu; S. Kevin Zhou (MICCAI (2), 2020)

Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT. - Wenzhe Wang; Qingyu Song 004; Jiarong Zhou; Ruiwei Feng; Tingting Chen 002; Wenhao Ge; Danny Z. Chen; S. Kevin Zhou; Weilin Wang; Jian Wu 001 (MICCAI (1), 2020)

Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. - Qingsong Yao; Zecheng He; Hu Han 001; S. Kevin Zhou (MICCAI (4), 2020)

Towards multi-sequence MR image recovery from undersampled k-space data. - Cheng Peng 008; Wei-An Lin; Rama Chellappa; S. Kevin Zhou (MIDL, 2020)

One-to-one Mapping for Unpaired Image-to-image Translation. - Zengming Shen; Yifan Chen; Thomas S. Huang; S. Kevin Zhou; Bogdan Georgescu; Xuqi Liu (WACV, 2020)

Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images. - Yuanyuan Lyu; Haofu Liao; Heqin Zhu; Shaohua Kevin Zhou (CoRR, 2020)

DuDoNet++: Encoding mask projection to reduce CT metal artifacts. - Yuanyuan Lyu; Wei-An Lin; Jingjing Lu; Shaohua Kevin Zhou (CoRR, 2020)

First image then video: A two-stage network for spatiotemporal video denoising. - Ce Wang; S. Kevin Zhou; Zhiwei Cheng (CoRR, 2020)

Human Recognition Using Face in Computed Tomography. - Jiuwen Zhu; Hu Han 001; S. Kevin Zhou (CoRR, 2020)

Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning. - Jiuwen Zhu; Yuexiang Li; Yifan Hu; S. Kevin Zhou (CoRR, 2020)

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (CoRR, 2020)

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. - Bo Zhou 009; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (CoRR, 2020)

Aggregative Self-Supervised Feature Learning. - Jiuwen Zhu; Yuexiang Li; S. Kevin Zhou (CoRR, 2020)

CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models. - Quan Quan; Qiyuan Wang 001; Liu Li; Yuanqi Du; S. Kevin Zhou (CoRR, 2020)

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. - Jiuwen Zhu; Yuexiang Li; Yifan Hu; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (Medical Image Anal., 2020)

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors. - Han Li; Hu Han 001; Zeju Li; Lei Wang; Zhe Wu; Jingjing Lu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2020)

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction. - Haofu Liao; Wei-An Lin; S. Kevin Zhou; Jiebo Luo 001 (IEEE Trans. Medical Imaging, 2020)

XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. - Cheng Peng 008; Haofu Liao; Gina Wong; Jiebo Luo 001; S. Kevin Zhou; Rama Chellappa (AAAI, 2021)

Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement. - Hao Lu 009; Hu Han 001; S. Kevin Zhou (CVPR, 2021)

Shallow Feature Matters for Weakly Supervised Object Localization. - Jun Wei 006; Qin Wang 011; Zhen Li 026; Sheng Wang 001; S. Kevin Zhou; Shuguang Cui (CVPR, 2021)

Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. - Rui Yan 009; Jintao Li 001; S. Kevin Zhou; Zhilong Lv; Xueyuan Zhang; Xiaosong Rao; Chunhou Zheng 001; Fei Ren; Fa Zhang 001 (ICIC (3), 2021)

A3DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation. - Yuanyuan Lyu; Haofu Liao; Heqin Zhu; S. Kevin Zhou (IPMI, 2021)

Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network. - Ruochen Gao; Zhihui Hou; Jun Li 103; Hu Han 001; Bin Lu; S. Kevin Zhou (ISBI, 2021)

Perceptual Quality Assessment of Chest Radiograph. - Mengda Guan; Yuanyuan Lyu; Wanyue Cao; Xingwang Wu; Jingjing Lu; S. Kevin Zhou (MICCAI (7), 2021)

Conditional Training with Bounding Map for Universal Lesion Detection. - Han Li; Long Chen; Hu Han 001; Ying Chi; S. Kevin Zhou (MICCAI (5), 2021)

Universal Undersampled MRI Reconstruction. - Xinwen Liu 003; Jing Wang 062; Feng Liu 005; S. Kevin Zhou (MICCAI (6), 2021)

U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction. - Yuanyuan Lyu; Jiajun Fu; Cheng Peng 008; S. Kevin Zhou (MICCAI (6), 2021)

DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images. - Cheng Peng 008; S. Kevin Zhou; Rama Chellappa (MICCAI (6), 2021)

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. - Ce Wang; Haimiao Zhang; Qian Li; Kun Shang; Yuanyuan Lyu; Bin Dong 001; S. Kevin Zhou (MICCAI (6), 2021)

Shallow Attention Network for Polyp Segmentation. - Jun Wei 006; Yiwen Hu 001; Ruimao Zhang; Zhen Li 026; S. Kevin Zhou; Shuguang Cui (MICCAI (1), 2021)

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. - Qingsong Yao; Zecheng He; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (MICCAI (3), 2021)

One-Shot Medical Landmark Detection. - Qingsong Yao; Quan Quan; Li Xiao 005; S. Kevin Zhou (MICCAI (2), 2021)

You only Learn Once: Universal Anatomical Landmark Detection. - Heqin Zhu; Qingsong Yao; Li Xiao 005; S. Kevin Zhou (MICCAI (5), 2021)

Few-shot Learning for Multi-Modality Tasks. - Jie Chen 001; Qixiang Ye; Xiaoshan Yang; S. Kevin Zhou; Xiaopeng Hong; Li Zhang 040 (ACM Multimedia, 2021)

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Pengbo Liu 004; Hu Han 001; Yuanqi Du; Heqin Zhu; Yinhao Li; Feng Gu; Honghu Xiao; Jun Li 103; Chunpeng Zhao; Li Xiao 005; Xinbao Wu; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2021)

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets. - Pengbo Liu 004; Li Xiao 005; S. Kevin Zhou (CoRR, 2021)

Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation. - Ce Wang; Haimiao Zhang; Qian Li; Kun Shang; Yuanyuan Lyu; Bin Dong 001; S. Kevin Zhou (CoRR, 2021)

Conditional Training with Bounding Map for Universal Lesion Detection. - Han Li; Long Chen; Hu Han 001; S. Kevin Zhou (CoRR, 2021)

Pathological Image Segmentation with Noisy Labels. - Li Xiao 005; Yinhao Li; Luxi Qv; Xinxia Tian; Yijie Peng; S. Kevin Zhou (CoRR, 2021)

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography. - Yang Deng; Ce Wang; Yuan Hui; Qian Li; Jun Li 103; Shiwei Luo; Mengke Sun; Quan Quan; Shuxin Yang; You Hao; Pengbo Liu 004; Honghu Xiao; et al. (CoRR, 2021)

Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image. - Yuanqi Du; Quan Quan; Hu Han 001; S. Kevin Zhou (CoRR, 2021)

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction. - Ce Wang; Kun Shang; Haimiao Zhang; Qian Li; Yuan Hui; S. Kevin Zhou (CoRR, 2021)

Medical Aegis: Robust adversarial protectors for medical images. - Qingsong Yao; Zecheng He; S. Kevin Zhou (CoRR, 2021)

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge. - Shuxin Yang; Xian Wu 001; Shen Ge; Shaohua Kevin Zhou; Li Xiao 005 (CoRR, 2021)

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment. - Shuxin Yang; Xian Wu 001; Shen Ge; Xingwang Wu; S. Kevin Zhou; Li Xiao 005 (CoRR, 2021)

Marginal loss and exclusion loss for partially supervised multi-organ segmentation. - Gonglei Shi; Li Xiao 005; Yang Chen 008; S. Kevin Zhou (Medical Image Anal., 2021)

Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. - Bo Zhou 009; Zachary Augenfeld; Julius Chapiro; S. Kevin Zhou; Chi Liu 001; James S. Duncan (Medical Image Anal., 2021)

Deep reinforcement learning in medical imaging: A literature review. - S. Kevin Zhou; T. Hoang Ngan Le; Khoa Luu; Hien Van Nguyen; Nicholas Ayache (Medical Image Anal., 2021)

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (Proc. IEEE, 2021)

Semi-Supervised Natural Face De-Occlusion. - Jiancheng Cai; Hu Han 001; Jiyun Cui; Jie Chen 001; Li Liu 002; S. Kevin Zhou (IEEE Trans. Inf. Forensics Secur., 2021)

Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis. - Xiao-Yong Wei; Zhen-Qun Yang; Xu-Lu Zhang; Ga Liao; Ailin Sheng; S. Kevin Zhou; Yongkang Wu; Liang Du (IEEE Trans. Medical Imaging, 2021)

Label-Free Segmentation of COVID-19 Lesions in Lung CT. - Qingsong Yao; Li Xiao 005; Peihang Liu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2021)

Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. - Bo Zhou 009; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (IEEE Trans. Medical Imaging, 2021)

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. - Xian Wu 001; Shuxin Yang; Zhaopeng Qiu; Shen Ge; Yangtian Yan; Xingwang Wu; Yefeng Zheng 001; S. Kevin Zhou; Li Xiao 005 (COLING, 2022)

Which images to label for few-shot medical landmark detection? - Quan Quan; Qingsong Yao; Jun Li 103; S. Kevin Zhou (CVPR, 2022)

Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency. - Jun Wei 006; Sheng Wang 001; S. Kevin Zhou; Shuguang Cui; Zhen Li 026 (ECCV (30), 2022)

Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation. - Yuanqi Du; Quan Quan; Hu Han 001; S. Kevin Zhou (ISBI, 2022)

Deep Non-Linear Embedding Deformation Network for Cross-Modal Brain MRI Synthesis. - Yang Lin; Hu Han 001; S. Kevin Zhou (ISBI, 2022)

SATr: Slice Attention with Transformer for Universal Lesion Detection. - Han Li; Long Chen; Hu Han 001; S. Kevin Zhou (MICCAI (3), 2022)

Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. - Ruizhou Liu; Qiang Ma 004; Zhiwei Cheng; Yuanyuan Lyu; Jianji Wang 003; S. Kevin Zhou (MICCAI (8), 2022)

Learning Incrementally to Segment Multiple Organs in a CT Image. - Pengbo Liu 004; Xia Wang; Mengsi Fan; Hongli Pan; Minmin Yin; Xiaohong Zhu; Dandan Du; Xiaoying Zhao; Li Xiao 005; Lian Ding; Xingwang Wu; S. Kevin Zhou (MICCAI (4), 2022)

Undersampled MRI Reconstruction with Side Information-Guided Normalisation. - Xinwen Liu 003; Jing Wang 062; Cheng Peng 008; Shekhar S. Chandra; Feng Liu 005; S. Kevin Zhou (MICCAI (6), 2022)

Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling. - Cheng Peng 008; Pengfei Guo; S. Kevin Zhou; Vishal M. Patel; Rama Chellappa (MICCAI (6), 2022)

Rib Suppression in Digital Chest Tomosynthesis. - Yihua Sun; Qingsong Yao; Yuanyuan Lyu; Jianji Wang 003; Yi Xiao; Hongen Liao; S. Kevin Zhou (MICCAI (1), 2022)

DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction. - Ce Wang; Kun Shang; Haimiao Zhang; Qian Li; S. Kevin Zhou (MLMIR@MICCAI, 2022)

BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. - Jun Wei 006; Yiwen Hu 001; Guanbin Li; Shuguang Cui; S. Kevin Zhou; Zhen Li 026 (MICCAI (3), 2022)

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (MICCAI (5), 2022)

Aggregative Self-supervised Feature Learning from Limited Medical Images. - Jiuwen Zhu; Yuexiang Li; Lian Ding; S. Kevin Zhou (MICCAI (8), 2022)

Relative distance matters for one-shot landmark detection. - Qingsong Yao; Jianji Wang 003; Yihua Sun; Quan Quan; Heqin Zhu; S. Kevin Zhou (CoRR, 2022)

Universal Segmentation of 33 Anatomies. - Pengbo Liu 004; Yang Deng; Ce Wang; Yuan Hui; Qian Li; Jun Li 103; Shiwei Luo; Mengke Sun; Quan Quan; Shuxin Yang; You Hao; Honghu Xiao; et al. (CoRR, 2022)

MixCL: Pixel label matters to contrastive learning. - Jun Li 103; Quan Quan; S. Kevin Zhou (CoRR, 2022)

3D endoscopic depth estimation using 3D surface-aware constraints. - Shang Zhao 004; Ce Wang; Qiyuan Wang 001; Yanzhe Liu; S. Kevin Zhou (CoRR, 2022)

Recovering medical images from CT film photos. - Quan Quan; Qiyuan Wang 001; Yuanqi Du; Liu Li; S. Kevin Zhou (CoRR, 2022)

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. - Heqin Zhu; Xu Sun 006; Yuexiang Li; Kai Ma 002; S. Kevin Zhou; Yefeng Zheng 001 (CoRR, 2022)

DATR: Domain-adaptive transformer for multi-domain landmark detection. - Heqin Zhu; Qingsong Yao; S. Kevin Zhou (CoRR, 2022)

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition. - Cheng Peng 008; Haofu Liao; S. Kevin Zhou; Rama Chellappa (CoRR, 2022)

A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges. - Zikang Xu; Jun Li 103; Qingsong Yao; Han Li; Xin Shi; S. Kevin Zhou (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Information-guided pixel augmentation for pixel-wise contrastive learning. - Quan Quan; Qingsong Yao; Jun Li 103; S. Kevin Zhou (CoRR, 2022)

MURPHY: Relations Matter in Surgical Workflow Analysis. - Shang Zhao 004; Yanzhe Liu; Qiyuan Wang 001; Dai Sun; Rong Liu; S. Kevin Zhou (CoRR, 2022)

GAN-based disentanglement learning for chest X-ray rib suppression. - Luyi Han; Yuanyuan Lyu; Cheng Peng 008; S. Kevin Zhou (Medical Image Anal., 2022)

Knowledge matters: Chest radiology report generation with general and specific knowledge. - Shuxin Yang; Xian Wu 001; Shen Ge; S. Kevin Zhou; Li Xiao 005 (Medical Image Anal., 2022)

DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. - Bo Zhou 009; Xiongchao Chen; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (Medical Image Anal., 2022)

DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. - Bo Zhou 009; Xiongchao Chen; Huidong Xie; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (IEEE Trans. Medical Imaging, 2022)

Label-Free Nuclei Segmentation Using Intra-Image Self Similarity. - Long Chen; Han Li; S. Kevin Zhou (MICCAI (6), 2023)

WeakPolyp: You only Look Bounding Box for Polyp Segmentation. - Jun Wei 006; Yiwen Hu 001; Shuguang Cui; S. Kevin Zhou; Zhen Li 026 (MICCAI (3), 2023)

FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification. - Zikang Xu; Shang Zhao 004; Quan Quan; Qingsong Yao; S. Kevin Zhou (MICCAI (2), 2023)

DiffULD: Diffusive Universal Lesion Detection. - Peiang Zhao; Han Li; Ruiyang Jin; S. Kevin Zhou (MICCAI (5), 2023)

UOD: Universal One-Shot Detection of Anatomical Landmarks. - Heqin Zhu; Quan Quan; Qingsong Yao; Zaiyi Liu; S. Kevin Zhou (MICCAI (1), 2023)

Active CT Reconstruction with a Learned Sampling Policy. - Ce Wang; Kun Shang; Haimiao Zhang; Shang Zhao 004; Dong Liang 001; S. Kevin Zhou (ACM Multimedia, 2023)

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction. - Qing Wu 001; Lixuan Chen; Ce Wang; Hongjiang Wei; S. Kevin Zhou; Jingyi Yu; Yuyao Zhang (NeurIPS, 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; David A. Clifton; S. Kevin Zhou; Lawrence H. Staib; James S. Duncan (NeurIPS, 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; Xiaoran Zhang; Chen Feng; David A. Clifton; S. Kevin Zhou; Lawrence Hamilton Staib; James S. Duncan (CoRR, 2023)

Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation. - Pengbo Liu 004; Mengke Sun; S. Kevin Zhou (CoRR, 2023)

Mixed-order self-paced curriculum learning for universal lesion detection. - Han Li; Hu Han 001; S. Kevin Zhou (CoRR, 2023)

O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis. - Jun Li 103; Kexin Li; Yafeng Zhou; S. Kevin Zhou (CoRR, 2023)

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (CoRR, 2023)

GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision. - Mingyue Zhao; Shang Zhao 004; Quan Quan; Li Fan 002; Xiaolan Qiu; Shiyuan Liu; S. Kevin Zhou (CoRR, 2023)

DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction. - Ziqi Gao; S. Kevin Zhou (CoRR, 2023)

Causal Image Synthesis of Brain MR in 3D. - Yujia Li; Jiong Shi; S. Kevin Zhou (CoRR, 2023)

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; Chi Liu 001 (CoRR, 2023)

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models. - Shitong Shao; Xiaohan Yuan; Zhen Huang 007; Ziming Qiu; Shuai Wang 048; S. Kevin Zhou (CoRR, 2023)

Unsupervised augmentation optimization for few-shot medical image segmentation. - Quan Quan; Shang Zhao 004; Qingsong Yao; Heqin Zhu; S. Kevin Zhou (CoRR, 2023)

CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion. - Fenghe Tang; Jianrui Ding; Lingtao Wang; Chunping Ning; S. Kevin Zhou (CoRR, 2023)

Cross-subject dual-domain fusion network with task-related and task-discriminant component analysis enhancing one-shot SSVEP classification. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (CoRR, 2023)

LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis. - Peiang Zhao; Han Li; Ruiyang Jin; S. Kevin Zhou (CoRR, 2023)

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation. - Fenghe Tang; Bingkun Nian; Jianrui Ding; Quan Quan; Jie Yang 002; Wei Liu 044; S. Kevin Zhou (CoRR, 2023)

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution. - Bingkun Nian; Fenghe Tang; Jianrui Ding; Pingping Zhang; Jie Yang 002; S. Kevin Zhou; Wei Liu 044 (CoRR, 2023)

Inspecting Model Fairness in Ultrasound Segmentation Tasks. - Zikang Xu; Fenghe Tang; Quan Quan; Jianrui Ding; Chunping Ning; S. Kevin Zhou (CoRR, 2023)

Sparse-view CT Reconstruction with 3D Gaussian Volumetric Representation. - Yingtai Li; Xueming Fu; Shang Zhao 004; Ruiyang Jin; S. Kevin Zhou (CoRR, 2023)

Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning. - Rui Yan 009; Yijun Shen; Xueyuan Zhang; Peihang Xu; Jun Wang; Jintao Li 001; Fei Ren; Dingwei Ye; S. Kevin Zhou (Medical Image Anal., 2023)

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Kaixin Xu; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. - Jun Li 103; Junyu Chen 002; Yucheng Tang; Ce Wang; Bennett A. Landman; S. Kevin Zhou (Medical Image Anal., 2023)

Radiology report generation with a learned knowledge base and multi-modal alignment. - Shuxin Yang; Xian Wu 001; Shen Ge; Zhuozhao Zheng; S. Kevin Zhou; Li Xiao 005 (Medical Image Anal., 2023)

Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. - Pengchong Qiao; Han Li; Guoli Song; Hu Han 001; Zhiqiang Gao; Yonghong Tian 001; Yongsheng Liang 001; Xi Li 011; S. Kevin Zhou; Jie Chen 001 (IEEE Trans. Medical Imaging, 2023)

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. - Yue Zhang 042; Chengtao Peng; Ruofeng Tong 001; Lanfen Lin; Yen-Wei Chen 001; Qingqing Chen 001; Hongjie Hu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; Jun Hou; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; et al. (Medical Image Anal., 2023)

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection. - Jun Wei 006; S. Kevin Zhou; Shuguang Cui; Zhen Li 026 (AAAI, 2024)

Taming Stable Diffusion for MRI Cross-Modality Translation. - Yingtai Li; Shuo Yang; Xiaoyan Wu; Shan He; S. Kevin Zhou (BIBM, 2024)

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification. - Haoran Lai; Qingsong Yao; Zihang Jiang; Rongsheng Wang; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (CVPR, 2024)

Evidence-Aware Multi-Modal Data Fusion and its Application to Total Knee Replacement Prediction. - Xinwen Liu 003; Jing Wang 062; S. Kevin Zhou; Craig Engstrom; Shekhar S. Chandra (DICTA, 2024)

Out-of-Distribution Detection for Learning-Based Chest X-Ray Diagnosis. - Wenlong Chen; Chuanwen Feng; Ao Ke; Xike Xie; S. Kevin Zhou (ICASSP, 2024)

Mayfly: a Neural Data Structure for Graph Stream Summarization. - Yuan Feng; Yukun Cao; Hairu Wang; Xike Xie; S. Kevin Zhou (ICLR, 2024)

Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. - Quan Li; Xike Xie; Chao Wang 003; S. Kevin Zhou (IJCAI, 2024)

Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. - Yilong Ren; Chuanwen Feng; Xike Xie; S. Kevin Zhou (IJCAI, 2024)

Rethinking Dual-Domain Undersampled MRI Reconstruction: Domain-Specific Design from the Perspective of the Receptive Field. - Ziqi Gao; S. Kevin Zhou (ISBI, 2024)

Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray. - Haoran Lai; Qingsong Yao; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (ISBI, 2024)

DNA-DIR: 2D-3D Geometry Embedding for Intraoperative Partial-to-Full Registration. - Dai Sun; Lan Li; Hongyu Qiu; Zhao Zhang; Shang Zhao 004; S. Kevin Zhou (ISBI, 2024)

CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. - Fenghe Tang; Jianrui Ding; Quan Quan; Lingtao Wang; Chunping Ning; S. Kevin Zhou (ISBI, 2024)

E-DM: Evaluating Diffusion Model by Conformal Prediction. - Chunjiang Wang; Yunjie Gu; Pengbo Liu 004; Shang Zhao 004; S. Kevin Zhou (ISBI, 2024)

Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense. - Qingsong Yao; Zecheng He; Xiaodong Yu; S. Kevin Zhou (ISBI, 2024)

3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. - Xueming Fu; Yingtai Li; Fenghe Tang; Jun Li 103; Mingyue Zhao; Gao-Jun Teng; S. Kevin Zhou (MICCAI (7), 2024)

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. - Fenghe Tang; Ronghao Xu; Qingsong Yao; Xueming Fu; Quan Quan; Heqin Zhu; Zaiyi Liu; S. Kevin Zhou (MICCAI (11), 2024)

SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection. - Xinyi Wang; Zikang Xu; Heqin Zhu; Qingsong Yao; Yiyong Sun; S. Kevin Zhou (MICCAI (1), 2024)

Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity. - Hao Zhang; Mingyue Zhao; Mingzhu Liu; Jiejun Luo; Yu Guan; Jin Zhang; Yi Xia; Di Zhang; Xiuxiu Zhou; Li Fan 002; Shiyuan Liu; S. Kevin Zhou (MICCAI (1), 2024)

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos. - Ziyuan Zhao; Fen Fang; Xulei Yang; Qianli Xu; Cuntai Guan; S. Kevin Zhou (MICCAI (6), 2024)

Slide-SAM: Medical SAM Meets Sliding Window. - Quan Quan; Fenghe Tang; Zikang Xu; Heqin Zhu; S. Kevin Zhou (MIDL, 2024)

OFELIA: Optical Flow-based Electrode LocalIzAtion. - Xinyi Wang; Zikang Xu; Qingsong Yao; Yiyong Sun; S. Kevin Zhou (MIDL, 2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Ruinan Jin; Zikang Xu; Yuan Zhong 003; Qingsong Yao; Qi Dou 001; S. Kevin Zhou; Xiaoxiao Li (NeurIPS, 2024)

Distortion-Disentangled Contrastive Learning. - Jinfeng Wang 008; Sifan Song; Jionglong Su; S. Kevin Zhou (WACV, 2024)

Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. - Tingting Wu 001; Chaoyan Huang; Shilong Jia; Wei Li 146; Raymond Chan 001; Tieyong Zeng; S. Kevin Zhou (Appl. Math. Comput., 2024)

Two-dimensional materials for future information technology: status and prospects. - Hao Qiu; Zhihao Yu; Tiange Zhao; Qi Zhang; Mingsheng Xu; Peifeng Li; Taotao Li; Wenzhong Bao; Yang Chai; Shula Chen; Yiqi Chen; Hui-Ming Cheng; et al. (Sci. China Inf. Sci., 2024)

Detecting Out-of-Distribution Samples via Conditional Distribution Entropy with Optimal Transport. - Chuanwen Feng; Wenlong Chen; Ao Ke; Yilong Ren; Xike Xie; S. Kevin Zhou (CoRR, 2024)

U2MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model. - Ziqi Gao; S. Kevin Zhou (CoRR, 2024)

ProMISe: Promptable Medical Image Segmentation using SAM. - Jinfeng Wang 008; Sifan Song; Xinkun Wang; Yiyi Wang; Yiyi Miao; Jionglong Su; S. Kevin Zhou (CoRR, 2024)

APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. - Zikang Xu; Fenghe Tang; Quan Quan; Qingsong Yao; S. Kevin Zhou (CoRR, 2024)

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction. - Ziqi Gao; Yue Zhang 042; Xinwen Liu 003; Kaiyan Li 005; S. Kevin Zhou (CoRR, 2024)

Skeleton Supervised Airway Segmentation. - Mingyue Zhao; Han Li; Li Fan 002; Shiyuan Liu; Xiaolan Qiu; S. Kevin Zhou (CoRR, 2024)

WeakSurg: Weakly supervised surgical instrument segmentation using temporal equivariance and semantic continuity. - Qiyuan Wang 001; Yanzhe Liu; Shang Zhao 004; Rong Liu; S. Kevin Zhou (CoRR, 2024)

DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction. - Chenhe Du; Xiyue Lin; Qing Wu 001; Xuanyu Tian; Ying Su; Zhe Luo; Hongjiang Wei; S. Kevin Zhou; Jingyi Yu; Yuyao Zhang (CoRR, 2024)

Unsupervised Density Neural Representation for CT Metal Artifact Reduction. - Qing Wu 001; Xu Guo; Lixuan Chen; Dongming He; Hongjiang Wei; Xudong Wang; S. Kevin Zhou; Yifeng Zhang; Jingyi Yu; Yuyao Zhang (CoRR, 2024)

Contrastive Learning Via Equivariant Representation. - Sifan Song; Jinfeng Wang 008; Qiaochu Zhao; Xiang Li 001; Dufan Wu; Angelos Stefanidis; Jionglong Su; S. Kevin Zhou; Quanzheng Li (CoRR, 2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Ruinan Jin; Zikang Xu; Yuan Zhong 003; Qiongsong Yao; Qi Dou 001; S. Kevin Zhou; Xiaoxiao Li (CoRR, 2024)

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference. - Yuan Feng; Junlin Lv; Yukun Cao; Xike Xie; S. Kevin Zhou (CoRR, 2024)

MambaMIM: Pre-training Mamba with State Space Token-interpolation. - Fenghe Tang; Bingkun Nian; Yingtai Li; Jie Yang 002; Liu Wei; S. Kevin Zhou (CoRR, 2024)

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels. - Jiahua Dong; Yue Zhang 042; Qiuli Wang 001; Ruofeng Tong 001; Shihong Ying; Shaolin Gong; Xuanpu Zhang; Lanfen Lin; Yen-Wei Chen 001; S. Kevin Zhou (CoRR, 2024)

Prototype-based Optimal Transport for Out-of-Distribution Detection. - Ao Ke; Wenlong Chen; Chuanwen Feng; Yukun Cao; Xike Xie; S. Kevin Zhou; Lei Feng (CoRR, 2024)

E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model. - Haoran Lai; Zihang Jiang; Qingsong Yao; Rongsheng Wang; Zhiyang He; Xiaodong Tao; Wei Wei 006; Weifu Lv; S. Kevin Zhou (CoRR, 2024)

Longitudinal Causal Image Synthesis. - Yujia Li; Han Li; S. Kevin Zhou (CoRR, 2024)

MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction. - Ziqi Gao; Wendi Yang; Yujia Li; Lei Xing; S. Kevin Zhou (CoRR, 2024)

LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration. - Yukun Cao; Zengyi Gao; Zhiyang Li; Xike Xie; S. Kevin Zhou (CoRR, 2024)

DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction. - Chengqi Dong; Zhiyuan Cao; S. Kevin Zhou; Jia Liu (CoRR, 2024)

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection. - Xiaoqian Zhou; Zhen Huang 007; Heqin Zhu; Qingsong Yao; S. Kevin Zhou (CoRR, 2024)

Which images to label for few-shot medical image analysis? - Quan Quan; Qingsong Yao; Heqin Zhu; Qiyuan Wang 001; S. Kevin Zhou (Medical Image Anal., 2024)

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. - Yinchi Zhou; Tianqi Chen; Jun Hou; Huidong Xie; Nicha C. Dvornek; S. Kevin Zhou; David L. Wilson; James S. Duncan; Chi Liu 001; Bo Zhou 009 (Medical Image Anal., 2024)

OS-SSVEP: One-shot SSVEP classification. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (Neural Networks, 2024)

Addressing fairness issues in deep learning-based medical image analysis: a systematic review. - Zikang Xu; Jun Li 103; Qingsong Yao; Han Li; Mingyue Zhao; S. Kevin Zhou (npj Digit. Medicine, 2024)

Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning. - Zezhong Ding; Yongan Xiang; Shangyou Wang; Xike Xie; S. Kevin Zhou (Proc. ACM Manag. Data, 2024)

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

Adversarial Medical Image With Hierarchical Feature Hiding. - Qingsong Yao; Zecheng He; Yuexiang Li; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement. - Zhen Huang 007; Han Li; Shitong Shao; Heqin Zhu; Huijie Hu; Zhiwei Cheng; Jianji Wang 003; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2024)

Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data. - Yukun Cao; Yuan Feng; Hairu Wang; Xike Xie; S. Kevin Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining. - Wenxuan Tu; Shaohua Kevin Zhou; Xinwang Liu 002; Chunpeng Ge 001; Zhiping Cai; Yue Liu 008 (IEEE Trans. Neural Networks Learn. Syst., 2024)

GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding. - Yukun Cao; Shuo Han; Zengyi Gao; Zezhong Ding; Xike Xie; S. Kevin Zhou (ACL (1), 2025)

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs. - Zengyi Gao; Yukun Cao; Hairu Wang; Ao Ke; Yuan Feng; S. Kevin Zhou; Xike Xie (ACL (Findings), 2025)

A General Knowledge Injection Framework for ICD Coding. - Xu Zhang; Kun Zhang 040; Wenxin Ma; Rongsheng Wang; Chenxu Wu; Yingtai Li; S. Kevin Zhou (ACL (Findings), 2025)

ICP: Immediate Compensation Pruning for Mid-to-high Sparsity. - Xin Luo; Xueming Fu; Zihang Jiang; S. Kevin Zhou (CVPR, 2025)

AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP. - Wenxin Ma; Xu Zhang; Qingsong Yao; Fenghe Tang; Chenxu Wu; Yingtai Li; Rui Yan 009; Zihang Jiang; S. Kevin Zhou (CVPR, 2025)

DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning. - Kun Zhang 040; Jingyu Li; Zhe Li 028; S. Kevin Zhou (CVPR, 2025)

A Unified Framework for Few-Shot Medical Image Classification via Multi-agent Description Generation and Refined Contrastive Learning. - Shenghao Chen; Zhen Huang 007; Xiaoqian Zhou; S. Kevin Zhou (ICIC (28), 2025)

Eliminating Ambiguities in One-Shot Medical Landmark Detection via Mask Drawing. - Xu He; Zhen Huang 007; Xiaoqian Zhou; S. Kevin Zhou (ICIC (5), 2025)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement. - Chenxu Wu; Qingpeng Kong; Zihang Jiang; S. Kevin Zhou (ICLR, 2025)

EDA: Enhanced Domain-Adversarial Training for Anatomical Landmark Detection. - Fan Yang; S. Kevin Zhou (ISBI, 2025)

ExpTopo: Explicit Topological Modeling for Bronchus Segmentation. - Mingyue Zhao; Xiaolan Qiu; S. Kevin Zhou (ISBI, 2025)

Improving Swimming Performance in Soft Robotic Fish with Distributed Muscles and Embedded Kinematic Sensing. - S. Kevin Zhou; Isabel Hess; Brandon Schrader; Shan He; Patrick Musgrave (RoboSoft, 2025)

MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction. - Ziqi Gao; Wendi Yang; Yujia Li; Lei Xing; S. Kevin Zhou (WACV, 2025)

Towards Accurate Unified Anomaly Segmentation. - Wenxin Ma; Qingsong Yao; Xiang Zhang; Zhelong Huang; Zihang Jiang; S. Kevin Zhou (WACV, 2025)

PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery. - Wendi Yang; Zihang Jiang; Shang Zhao 004; S. Kevin Zhou (WACV, 2025)

3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation. - Yingtai Li; Xueming Fu; Han Li; Shang Zhao 004; Ruiyang Jin; S. Kevin Zhou (Medical Image Anal., 2025)

O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision. - Kaiyan Li 005; Jingyuan Yang 015; Wenxuan Liang; Xingde Li; Chenxi Zhang; Lulu Chen; Chan Wu; Xiao Zhang; Zhiyan Xu; Yueling Wang; Lihui Meng; Yue Zhang 042; et al. (Medical Image Anal., 2025)

MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation. - Fenghe Tang; Bingkun Nian; Yingtai Li; Zihang Jiang; Jie Yang 002; Wei Liu 044; S. Kevin Zhou (Medical Image Anal., 2025)

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training. - Rongsheng Wang; Qingsong Yao; Zihang Jiang; Haoran Lai; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (Medical Image Anal., 2025)

LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation. - Qiyuan Wang 001; Shang Zhao 004; Zikang Xu; S. Kevin Zhou (Medical Image Anal., 2025)

Skeleton2Mask: Skeleton-supervised airway segmentation. - Mingyue Zhao; Han Li; Di Zhang; Jin Zhang; Xiuxiu Zhou; Li Fan 002; Xiaolan Qiu; Shiyuan Liu; S. Kevin Zhou (Medical Image Anal., 2025)

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. - Zikang Xu; Fenghe Tang; Quan Quan; Qingsong Yao; Qingpeng Kong; Jianrui Ding; Chunping Ning; S. Kevin Zhou (npj Digit. Medicine, 2025)

CCA-Net: Zero-Shot SSVEP Classification via an Integration of Canonical Correlation Analysis and Deep Neural Network. - Yang Deng; Zhiwei Ji; Yijun Wang 001; S. Kevin Zhou (IEEE Trans. Instrum. Meas., 2025)

Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis. - Haoran Lai; Zihang Jiang; Qingsong Yao; Rongsheng Wang; Zhiyang He; Xiaodong Tao; Wei Wei 006; Weifu Lv; S. Kevin Zhou (CoRR, 2025)

IGU-Aug: Information-Guided Unsupervised Augmentation and Pixel-Wise Contrastive Learning for Medical Image Analysis. - Quan Quan; Qingsong Yao; Heqin Zhu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2025)

Unified Multi-Modal Image Synthesis for Missing Modality Imputation. - Yue Zhang 042; Chengtao Peng; Qiuli Wang 001; Dan Song 006; Kaiyan Li 005; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2025)

Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective. - Yuan Feng; Junlin Lv; Yukun Cao; Xike Xie; S. Kevin Zhou (CoRR, 2025)

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. - Fenghe Tang; Qingsong Yao; Wenxin Ma; Chenxu Wu; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Capsule: An Out-of-Core Training Mechanism for Colossal GNNs. - Yongan Xiang; Zezhong Ding; Rui Guo; Shangyou Wang; Xike Xie; S. Kevin Zhou (Proc. ACM Manag. Data, 2025)

Path Pooling: Train-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation. - Hairu Wang; Yuan Feng; Xike Xie; S. Kevin Zhou (CoRR, 2025)

SDD-4DGS: Static-Dynamic Aware Decoupling in Gaussian Splatting for 4D Scene Reconstruction. - Dai Sun; Huhao Guan; Kun Zhang 040; Xike Xie; S. Kevin Zhou (CoRR, 2025)

Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection. - Xu He; Zhen Huang 007; Qingsong Yao; Xiaoqian Zhou; S. Kevin Zhou (CoRR, 2025)

Histomorphology-driven multi-instance learning for breast cancer WSI classification. - Baizhi Wang; Rui Yan 009; Wenxin Ma; Xu Zhang; Yuhao Wang; Xiaolong Li; Yunjie Gu; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)

JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections. - Qing Wu 001; Hongjiang Wei; Jingyi Yu; S. Kevin Zhou; Yuyao Zhang (CoRR, 2025)

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images. - Han Li; Hu Han 001; S. Kevin Zhou (CoRR, 2025)

Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning. - Lu Wang; Xishuai Peng; S. Kevin Zhou (CoRR, 2025)

Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams. - Yuan Feng; Yukun Cao; Hairu Wang; Xike Xie; S. Kevin Zhou (CoRR, 2025)

SridBench: Benchmark of Scientific Research Illustration Drawing of Image Generation Model. - Yifan Chang; Yukang Feng; Jianwen Sun; Jiaxin Ai; Chuanhao Li; S. Kevin Zhou; Kaipeng Zhang (CoRR, 2025)

SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context. - Hairu Wang; Yuan Feng; Yukun Cao; Xike Xie; S. Kevin Zhou (CoRR, 2025)

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model. - Ailin Huang; Bingxin Li; Bruce Wang; Boyong Wu; Chao Yan; Chengli Feng; Heng Wang 007; Hongyu Zhou; Hongyuan Wang; Jingbei Li; Jianjian Sun; Joanna Wang; et al. (CoRR, 2025)

A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation. - Yukang Feng; Jianwen Sun; Chuanhao Li; Zizhen Li; Jiaxin Ai; Fanrui Zhang; Yifan Chang; Shaohua Kevin Zhou; Shenglin Zhang; Yu Dai; Kaipeng Zhang (CoRR, 2025)

MVP-CBM:Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. - Chunjiang Wang; Kun Zhang 040; Yandong Liu; Zhiyang He; Xiaodong Tao; S. Kevin Zhou (CoRR, 2025)

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. - Afifa Khaled; Mohammed Sabir; Rizwan Qureshi; Camillo Maria Caruso; Valerio Guarrasi; Suncheng Xiang; S. Kevin Zhou (CoRR, 2025)

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. - Fenghe Tang; Wenxin Ma; Zhiyang He; Xiaodong Tao; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

NeRF-based CBCT Reconstruction needs Normalization and Initialization. - Zhuowei Xu; Han Li; Dai Sun; Zhicheng Li; Yujia Li; Qingpeng Kong; Zhiwei Cheng; Nassir Navab; S. Kevin Zhou (CoRR, 2025)

Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology. - Qiuyi Qi; Xin Li; Ming Kong; Zikang Xu; Bingdi Chen; Qiang Zhu; S. Kevin Zhou (CoRR, 2025)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV. - Hongbo Ye; Fenghe Tang; Peiang Zhao; Zhen Huang 007; Dexin Zhao; Minghao Bian; S. Kevin Zhou (CoRR, 2025)

Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation. - Xueming Fu; Pei Wu; Yingtai Li; Xin Luo; Zihang Jiang; Junhao Mei; Jian Lu; Gao-Jun Teng; S. Kevin Zhou (CoRR, 2025)

A Multi-start Algorithm with Iterated Decremental Local Search for Minimum Capacitated Dominating Set Problem in Large Graphs. - Shuli Hu; Shaohua Kevin Zhou; Dian Ling; Jiaqi Li; Ruizhi Li; Yupeng Zhou; Minghao Yin (Memetic Comput., 2025)

Zero-echo time magnetic resonance imaging for visualizing pulmonary neoplasms. - Yanjie Zhao; Zhipeng Hao; Weiyin Vivian Liu; Yujin Wang; Shaohua Kevin Zhou; Liming Xia (BMC Medical Imaging, 2025)