A Novel Method for Camera Planar Motion Detection and Robust Estimation of the 1D Trifocal Tensor. - Le Lu 001; Hung-Tat Tsui; Zhanyi Hu (ICPR, 2000)

Concentric Mosaic(s)Planar Motion and 1D Cameras. - Long Quan; Le Lu 001; Heung-Yeung Shum; Maxime Lhuillier (ICCV, 2001)

A Particle Filter without Dynamics for Robust 3D Face Tracking. - Le Lu 001; Xiangtian Dai; Gregory D. Hager (CVPR Workshops, 2004)

A Three Tiered Approach for Articulated Object Action Modeling and Recognition. - Le Lu 001; Gregory D. Hager; Laurent Younes (NIPS, 2004)

Constrained planar motion analysis by decomposition. - Long Quan; Yichen Wei; Le Lu 001; Heung-Yeung Shum (Image Vis. Comput., 2004)

A Two Level Approach for Scene Recognition. - Le Lu 001; Kentaro Toyama; Gregory D. Hager (CVPR (1), 2005)

Combined central and subspace clustering for computer vision applications. - Le Lu 001; René Vidal (ICML, 2006)

Dynamic Foreground/Background Extraction from Images and Videos using Random Patches. - Le Lu 001; Gregory D. Hager (NIPS, 2006)

Efficient particle filtering using RANSAC with application to 3D face tracking. - Le Lu 001; Xiangtian Dai; Gregory D. Hager (Image Vis. Comput., 2006)

A Nonparametric Treatment for Location/Segmentation Based Visual Tracking. - Le Lu 001; Gregory D. Hager (CVPR, 2007)

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Marcos Salganicoff; Dorin Comaniciu (CVPR, 2008)

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. - Le Lu 001; Adrian Barbu; Matthias Wolf 001; Jianming Liang; Luca Bogoni; Marcos Salganicoff; Dorin Comaniciu (ECCV (4), 2008)

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. - Le Lu 001; Jinbo Bi; Shipeng Yu; Zhigang Peng; Arun Krishnan; Xiang Sean Zhou (ICCV, 2009)

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. - Le Lu 001; Matthias Wolf 001; Jianming Liang; Murat Dundar; Jinbo Bi; Marcos Salganicoff (MICCAI (1), 2009)

Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images. - Yimo Tao; Le Lu 001; Maneesh Dewan; Albert Y. Chen; Jason J. Corso; Jianhua Xuan; Marcos Salganicoff; Arun Krishnan (MICCAI (1), 2009)

Stratified learning of local anatomical context for lung nodules in CT images. - Dijia Wu; Le Lu 001; Jinbo Bi; Yoshihisa Shinagawa; Kim L. Boyer; Arun Krishnan; Marcos Salganicoff (CVPR, 2010)

Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. - Le Lu 001; Matthias Wolf 001; Jinbo Bi; Marcos Salganicoff (MCV, 2010)

Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model. - Jun Ma; Le Lu 001; Yiqiang Zhan; Xiang Sean Zhou; Marcos Salganicoff; Arun Krishnan (MICCAI (1), 2010)

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Heng Huang (CIKM, 2011)

AdaBoost on low-rank PSD matrices for metric learning. - Jinbo Bi; Dijia Wu; Le Lu 001; Meizhu Liu; Yimo Tao; Matthias Wolf 001 (CVPR, 2011)

Effective 3D object detection and regression using probabilistic segmentation features in CT images. - Le Lu 001; Jinbo Bi; Matthias Wolf 001; Marcos Salganicoff (CVPR, 2011)

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. - Meizhu Liu; Le Lu 001; Jinbo Bi; Vikas C. Raykar; Matthias Wolf 001; Marcos Salganicoff (MICCAI (3), 2011)

Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu; Marcos Salganicoff (MICCAI (3), 2011)

Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth. - Chi Li; Le Lu 001; Gregory D. Hager; Jianyu Tang; Hanzi Wang (ACCV (3), 2012)

Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information. - Xiujun Zhang; Xing-Ming Zhao; Kun He 007; Le Lu 001; Yongwei Cao; Jingdong Liu; Jin-Kao Hao; Zhi-Ping Liu; Luonan Chen (Bioinform., 2012)

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. - Le Lu 001; Pandu R. Devarakota; Siddharth Vikal; Dijia Wu; Yefeng Zheng 001; Matthias Wolf 001 (MCV, 2013)

A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. - Le Lu 001; Bing Jian; Dijia Wu; Matthias Wolf 001 (MLMI, 2013)

Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. - Shijun Wang; Brandon Peplinski; Le Lu 001; Weidong Zhang 001; Jianfei Liu; Zhuoshi Wei; Ronald M. Summers (MICCAI (2), 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)

Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model. - Jun Ma; Le Lu 001 (Comput. Vis. Image Underst., 2013)

Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. - Jiamin Liu; Jocelyn Zhao; Joanne Hoffman; Jianhua Yao 001; Le Lu 001; Evrim Turkbey; Christine Kim; Ronald M. Summers (ISBI, 2014)

Multilevel image recognition using discriminative patches and kernel covariance descriptor. - Le Lu 001; Jianhua Yao 001; Evrim Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2014)

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. - Amal Farag; Le Lu 001; Evrim Turkbey; Jiamin Liu; Ronald M. Summers (ABDI@MICCAI, 2014)

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. - Holger R. Roth; Le Lu 001; Ari Seff; Kevin M. Cherry; Joanne Hoffman; Shijun Wang; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (MICCAI (1), 2014)

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. - Ari Seff; Le Lu 001; Kevin M. Cherry; Holger R. Roth; Jiamin Liu; Shijun Wang; Joanne Hoffman; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2014)

Robust automated lymph node segmentation with random forests. - David Allen; Le Lu 001; Jianhua Yao 001; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (Image Processing, 2014)

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis. - Meizhu Liu; Le Lu 001; Xiaojing Ye; Shipeng Yu (CoRR, 2014)

Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. - Holger R. Roth; Jianhua Yao 001; Le Lu 001; James Stieger; Joseph E. Burns; Ronald M. Summers (CoRR, 2014)

Interleaved text/image Deep Mining on a large-scale radiology database. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (CVPR, 2015)

Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. - Jiamin Liu; Divya Narayanan; Kevin W. Chang; Lauren Kim; Evrim Turkbey; Le Lu 001; Jianhua Yao 001; Ronald M. Summers (ISBI, 2015)

Anatomy-specific classification of medical images using deep convolutional nets. - Holger R. Roth; Christopher T. Lee; Hoo-Chang Shin; Ari Seff; Lauren Kim; Jianhua Yao 001; Le Lu 001; Ronald M. Summers (ISBI, 2015)

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. - Jiamin Liu; Kevin W. Chang; Lauren Kim; Evrim Turkbey; Le Lu 001; Jianhua Yao 001; Ronald M. Summers (Computer-Aided Diagnosis, 2015)

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. - Holger R. Roth; Le Lu 001; Amal Farag; Hoo-Chang Shin; Jiamin Liu; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2015)

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. - Ari Seff; Le Lu 001; Adrian Barbu; Holger Roth; Hoo-Chang Shin; Ronald M. Summers (MICCAI (2), 2015)

Deep convolutional networks for pancreas segmentation in CT imaging. - Holger R. Roth; Amal Farag; Le Lu 001; Evrim B. Turkbey; Ronald M. Summers (Image Processing, 2015)

Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. - Kevin M. Cherry; Brandon Peplinski; Lauren Kim; Shijun Wang; Le Lu 001; Weidong Zhang 001; Jianfei Liu; Zhuoshi Wei; Ronald M. Summers (Medical Image Anal., 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)

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. - Hoo-Chang Shin; Kirk Roberts; Le Lu 001; Dina Demner-Fushman; Jianhua Yao 001; Ronald M. Summers (CVPR, 2016)

Segmentation label propagation using deep convolutional neural networks and dense conditional random field. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Aaron Wu; Isabella Nogues; Ronald M. Summers; Daniel J. Mollura (ISBI, 2016)

Colitis detection on computed tomography using regional convolutional neural networks. - Jiamin Liu; David Wang; Zhuoshi Wei; Le Lu 001; Lauren Kim; Evrim Turkbey; Ronald M. Summers (ISBI, 2016)

Colitis detection on abdominal CT scans by rich feature hierarchies. - Jiamin Liu; Nathan Lay; Zhuoshi Wei; Le Lu 001; Lauren Kim; Evrim Turkbey; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Deep convolutional networks for automated detection of posterior-element fractures on spine CT. - Holger R. Roth; Yinong Wang 003; Jianhua Yao 001; Le Lu 001; Joseph E. Burns; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. - Jinzheng Cai; Le Lu 001; Zizhao Zhang; Fuyong Xing; Lin Yang 002; Qian Yin (MICCAI (2), 2016)

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (MLMI@MICCAI, 2016)

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. - Isabella Nogues; Le Lu 001; Xiaosong Wang 001; Holger Roth; Gedas Bertasius; Nathan Lay; Jianbo Shi; Yohannes Tsehay; Ronald M. Summers (MICCAI (2), 2016)

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. - Holger R. Roth; Le Lu 001; Amal Farag; Andrew Sohn; Ronald M. Summers (MICCAI (2), 2016)

Active appearance model and deep learning for more accurate prostate segmentation on MRI. - Ruida Cheng; Holger R. Roth; Le Lu 001; Shijun Wang; Baris Turkbey; William Gandler; Evan S. McCreedy; Harsh K. Agarwal; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2016)

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. - Le Lu 001; Dijia Wu; Nathan Lay; David Liu; Isabella Nogues; Ronald M. Summers (WACV, 2016)

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. - Xiaosong Wang 001; Le Lu 001; Hoo-Chang Shin; Lauren Kim; Isabella Nogues; Jianhua Yao 001; Ronald M. Summers (CoRR, 2016)

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (J. Mach. Learn. Res., 2016)

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning. - Hoo-Chang Shin; Le Lu 001; Ronald M. Summers (Deep Learning for Medical Image Analysis, 2017)

Text Mining Radiology Reports for Deep Learning Radiology Images. - Yifan Peng 002; Xiaosong Wang 001; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (AMIA, 2017)

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2017)

Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. - Karthik Chellamuthu; Jiamin Liu; Jianhua Yao 001; Mohammadhadi Bagheri; Le Lu 001; Veit Sandfort; Ronald M. Summers (ISBI, 2017)

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. - Ruida Cheng; Nathan Lay; Francesca Mertan; Baris Turkbey; Holger R. Roth; Le Lu 001; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe; Ronald M. Summers (ISBI, 2017)

Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. - Ling Zhang 002; Milan Sonka; Le Lu 001; Ronald M. Summers; Jianhua Yao 001 (ISBI, 2017)

Pelvic artery calcification detection on CT scans using convolutional neural networks. - Jiamin Liu; Le Lu 001; Jianhua Yao 001; Mohammadhadi Bagheri; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. - Jinzheng Cai; Le Lu 001; Yuanpu Xie; Fuyong Xing; Lin Yang 002 (MICCAI (3), 2017)

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. - Adam P. Harrison; Ziyue Xu 001; Kevin George; Le Lu 001; Ronald M. Summers; Daniel J. Mollura (MICCAI (3), 2017)

Personalized Pancreatic Tumor Growth Prediction via Group Learning. - Ling Zhang 002; Le Lu 001; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (MICCAI (2), 2017)

Automatic MR prostate segmentation by deep learning with holistically-nested networks. - Ruida Cheng; Holger R. Roth; Nathan Lay; Le Lu 001; Baris Turkbey; William Gandler; Evan S. McCreedy; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2017)

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. - Xiaosong Wang 001; Le Lu 001; Hoo-Chang Shin; Lauren Kim; Mohammadhadi Bagheri; Isabella Nogues; Jianhua Yao 001; Ronald M. Summers (WACV, 2017)

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function. - Jinzheng Cai; Le Lu 001; Yuanpu Xie; Fuyong Xing; Lin Yang 002 (CoRR, 2017)

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. - Mingchen Gao; Ziyue Xu 001; Le Lu 001; Adam P. Harrison; Ronald M. Summers; Daniel J. Mollura (CoRR, 2017)

Unsupervised body part regression using convolutional neural network with self-organization. - Ke Yan 006; Le Lu 001; Ronald M. Summers (CoRR, 2017)

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ronald M. Summers (CoRR, 2017)

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. - Yifan Peng 002; Xiaosong Wang 001; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (CoRR, 2017)

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (IEEE Trans. Image Process., 2017)

DeepPap: Deep Convolutional Networks for Cervical Cell Classification. - Ling Zhang 002; Le Lu 001; Isabella Nogues; Ronald M. Summers; Shaoxiong Liu; Jianhua Yao 001 (IEEE J. Biomed. Health Informatics, 2017)

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. - Hoo-Chang Shin; Le Lu 001; Lauren Kim; Ari Seff; Jianhua Yao 001; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Ronald M. Summers (CVPR, 2018)

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2018)

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. - Jiamin Liu; Jinzheng Cai; Karthik Chellamuthu; Mohammadhadi Bagheri; Le Lu 001; Ronald M. Summers (ISBI, 2018)

Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. - Zhihui Quo; Ling Zhang 002; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Milan Sonka; Jianhua Yao 001 (ISBI, 2018)

Unsupervised body part regression via spatially self-ordering convolutional neural networks. - Ke Yan 006; Le Lu 001; Ronald M. Summers (ISBI, 2018)

Self-learning to detect and segment cysts in lung CT images without manual annotation. - Ling Zhang 002; Vissagan Gopalakrishnan; Le Lu 001; Ronald M. Summers; Joel Moss; Jianhua Yao 001 (ISBI, 2018)

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans. - Jiamin Liu; Karthik Chellamuthu; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers (Computer-Aided Diagnosis, 2018)

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Jinzheng Cai; Le Lu 001; Adam P. Harrison; Xiaoshuang Shi; Pingjun Chen; Lin Yang 002 (MICCAI (2), 2018)

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. - Jinzheng Cai; Youbao Tang; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MICCAI (4), 2018)

Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. - Hayato Itoh; Holger R. Roth; Le Lu 001; Masahiro Oda 001; Masashi Misawa; Yuichi Mori; Shin-ei Kudo; Kensaku Mori (MICCAI (2), 2018)

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. - Nathan Lay; Yohannes Tsehay; Yohan Sumathipala; Ruida Cheng; Sonia Gaur; Clayton Smith; Adrian Barbu; Le Lu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Ronald M. Summers (MICCAI (2), 2018)

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. - Youbao Tang; Jinzheng Cai; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (MLMI@MICCAI, 2018)

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. - Yuxing Tang; Xiaosong Wang 001; Adam P. Harrison; Le Lu 001; Jing Xiao 006; Ronald M. Summers (MLMI@MICCAI, 2018)

An analysis of robust cost functions for CNN in computer-aided diagnosis. - Adrian Barbu; Le Lu 001; Holger Roth; Ari Seff; Ronald M. Summers (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. - Zhihui Guo; Ling Zhang 002; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Milan Sonka; Jianhua Yao 001 (CoRR, 2018)

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. - Jinzheng Cai; Youbao Tang; Le Lu 001; Adam P. Harrison; Ke Yan 006; Jing Xiao 006; Lin Yang 002; Ronald M. Summers (CoRR, 2018)

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning. - Jinzheng Cai; Le Lu 001; Fuyong Xing; Lin Yang 002 (CoRR, 2018)

Deep Medical Image Computing in Preventive and Precision Medicine. - Le Lu 001; Adam P. Harrison (IEEE Multim., 2018)

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. - Holger R. Roth; Le Lu 001; Nathan Lay; Adam P. Harrison; Amal Farag; Andrew Sohn; Ronald M. Summers (Medical Image Anal., 2018)

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. - Ling Zhang 002; Le Lu 001; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (IEEE Trans. Medical Imaging, 2018)

Tumor Growth Prediction Using Convolutional Networks. - Ling Zhang 002; Le Lu 001; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning. - Jinzheng Cai; Le Lu 001; Fuyong Xing; Lin Yang 002 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Weakly-supervised deep learning of interstitial lung disease types on CT images. - Chenglong Wang; Takayasu Moriya; Yuichiro Hayashi; Holger Roth; Le Lu 001; Masahiro Oda 001; Hirotugu Ohkubo; Kensaku Mori (Computer-Aided Diagnosis, 2019)

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (2), 2019)

Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (MICCAI (6), 2019)

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays. - Yirui Wang 002; Le Lu 001; Chi-Tung Cheng; Dakai Jin; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (MICCAI (6), 2019)

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. - Bo Zhou 009; Adam P. Harrison; Jiawen Yao; Chi-Tung Cheng; Jing Xiao 006; Chien-Hung Liao; Le Lu 001 (DART/MIL3ID@MICCAI, 2019)

Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. - Ling Zhang 002; Le Lu 001; Robert Zhu; Mohammadhadi Bagheri; Ronald M. Summers; Jianhua Yao 001 (CoRR, 2019)

Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network. - Chun-Hung Chao; Yen-Chi Cheng; Hsien-Tzu Cheng; Chi-Wen Huang; Tsung-Ying Ho; Chen-Kan Tseng; Le Lu 001; Min Sun 001 (CoRR, 2019)

Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. - Dazhou Guo; Dakai Jin; Zhuotun Zhu; Tsung-Ying Ho; Adam P. Harrison; Chun-Hung Chao; Jing Xiao 006; Le Lu 001 (CVPR, 2020)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Chang; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (ECCV (23), 2020)

Structured Landmark Detection via Topology-Adapting Deep Graph Learning. - Weijian Li 001; Yuhang Lu; Kang Zheng; Haofu Liao; Chihung Lin; Jiebo Luo 001; Chi-Tung Cheng; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (ECCV (9), 2020)

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. - Fengze Liu; Jinzheng Cai; Yuankai Huo; Chi-Tung Cheng; Ashwin Raju; Dakai Jin; Jing Xiao 006; Alan L. Yuille; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (ECCV (13), 2020)

Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. - Ashwin Raju; Chi-Tung Cheng; Yuankai Huo; Jinzheng Cai; Junzhou Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (ECCV (23), 2020)

Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies. - Weijian Li 001; Haofu Liao; Shun Miao; Le Lu 001; Jiebo Luo 001 (ICPR, 2020)

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. - Jinzheng Cai; Ke Yan 006; Chi-Tung Cheng; Jing Xiao 006; Chien-Hung Liao; Le Lu 001; Adam P. Harrison (MICCAI (4), 2020)

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. - Chun-Hung Chao; Zhuotun Zhu; Dazhou Guo; Ke Yan 006; Tsung-Ying Ho; Jinzheng Cai; Adam P. Harrison; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Min Sun 001; Le Lu 001; et al. (MICCAI (7), 2020)

Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. - Bowen Li; Ke Yan 006; Dar-In Tai; Yuankai Huo; Le Lu 001; Jing Xiao 006; Adam P. Harrison (MICCAI (3), 2020)

Learning to Segment Anatomical Structures Accurately from One Exemplar. - Yuhang Lu; Weijian Li 001; Kang Zheng; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (MICCAI (1), 2020)

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. - Ashwin Raju; Zhanghexuan Ji; Chi-Tung Cheng; Jinzheng Cai; Junzhou Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (MICCAI (1), 2020)

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (MICCAI (4), 2020)

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. - Jiawen Yao; Yu Shi; Le Lu 001; Jing Xiao 006; Ling Zhang 002 (MICCAI (2), 2020)

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. - Ling Zhang 002; Yu Shi; Jiawen Yao; Yun Bian; Kai Cao; Dakai Jin; Jing Xiao 006; Le Lu 001 (MICCAI (4), 2020)

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. - Zhuotun Zhu; Dakai Jin; Ke Yan 006; Tsung-Ying Ho; Xianghua Ye; Dazhou Guo; Chun-Hung Chao; Jing Xiao 006; Alan L. Yuille; Le Lu 001 (MICCAI (7), 2020)

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies. - Weijian Li 001; Haofu Liao; Shun Miao; Le Lu 001; Jiebo Luo 001 (CoRR, 2020)

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. - Dazhou Guo; Dakai Jin; Zhuotun Zhu; Tsung-Ying Ho; Adam P. Harrison; Chun-Hung Chao; Jing Xiao 006; Alan L. Yuille; Chien-Yu Lin; Le Lu 001 (CoRR, 2020)

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. - Zhuotun Zhu; Ke Yan 006; Dakai Jin; Jinzheng Cai; Tsung-Ying Ho; Adam P. Harrison; Dazhou Guo; Chun-Hung Chao; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Le Lu 001 (CoRR, 2020)

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. - Ke Yan 006; Jinzheng Cai; Adam P. Harrison; Dakai Jin; Jing Xiao 006; Le Lu 001 (CoRR, 2020)

CircleNet: Anchor-free Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (CoRR, 2020)

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. - Yuankai Huo; Jinzheng Cai; Chi-Tung Cheng; Ashwin Raju; Ke Yan 006; Bennett A. Landman; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (CoRR, 2020)

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. - Haomin Chen; Yirui Wang 002; Kang Zheng; Weijian Li 001; Chi-Tung Cheng; Adam P. Harrison; Jing Xiao 006; Gregory D. Hager; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyskac; Yuankai Huo (CoRR, 2020)

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youvao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (CoRR, 2020)

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. - Ke Yan 006; Jinzheng Cai; Dakai Jin; Shun Miao; Adam P. Harrison; Dazhou Guo; Youbao Tang; Jing Xiao 006; Jingjing Lu; Le Lu 001 (CoRR, 2020)

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. - Xinyu Zhang; Yirui Wang 002; Chi-Tung Cheng; Le Lu 001; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation. - Chun-Hung Chao; Hsien-Tzu Cheng; Tsung-Ying Ho; Le Lu 001; Min Sun 001 (CoRR, 2020)

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. - Bolin Lai; Xiaoyu Bai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (CoRR, 2020)

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. - Yirui Wang 002; Kang Zheng; Chi-Tung Chang; Xiao-Yun Zhou 001; Zhilin Zheng; Lingyun Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Shun Miao (CoRR, 2020)

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Haozhe Jia; Le Lu 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2020)

Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. - Ling Zhang 002; Le Lu 001; Xiaosong Wang 001; Robert Zhu; Mohammadhadi Bagheri; Ronald M. Summers; Jianhua Yao 001 (IEEE Trans. Medical Imaging, 2020)

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. - Xinyu Zhang; Yirui Wang 002; Chi-Tung Cheng; Le Lu 001; Adam P. Harrison; Jing Xiao 006; Chien-Hung Liao; Shun Miao (AAAI, 2021)

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. - Jinzheng Cai; Youbao Tang; Ke Yan 006; Adam P. Harrison; Jing Xiao 006; Gigin Lin; Le Lu 001 (CVPR, 2021)

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. - Fakai Wang; Kang Zheng; Le Lu 001; Jing Xiao 006; Min Wu 001; Shun Miao (CVPR, 2021)

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. - Tianyi Zhao; Kai Cao; Jiawen Yao; Isabella Nogues; Le Lu 001; Lingyun Huang; Jing Xiao 006; Zhaozheng Yin; Ling Zhang 002 (CVPR, 2021)

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. - Yirui Wang 002; Kang Zheng; Chi-Tung Cheng; Xiao-Yun Zhou 001; Zhilin Zheng; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Shun Miao (IPMI, 2021)

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. - Jieneng Chen; Ke Yan 006; Yu-Dong Zhang; Youbao Tang; Xun Xu; Shuwen Sun; Qiuping Liu; Lingyun Huang; Jing Xiao 006; Alan L. Yuille; Ya Zhang 002; Le Lu 001 (MICCAI (7), 2021)

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. - Dazhou Guo; Xianghua Ye; Jia Ge; Xing Di; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Zhongjie Lu; Ling Peng; Senxiang Yan; Dakai Jin (MICCAI (5), 2021)

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. - Bolin Lai; Yuhsuan Wu; Xiaoyu Bai; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (PRIME@MICCAI, 2021)

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. - Bolin Lai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Le Lu 001; Lingyun Huang; Mei Han; Jing Xiao 006; Heping Hu; Adam P. Harrison (MLMI@MICCAI, 2021)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (MICCAI (5), 2021)

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. - Fengze Liu; Ke Yan 006; Adam P. Harrison; Dazhou Guo; Le Lu 001; Alan L. Yuille; Lingyun Huang; Guotong Xie; Jing Xiao 006; Xianghua Ye; Dakai Jin (MICCAI (4), 2021)

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. - Youbao Tang; Jinzheng Cai; Ke Yan 006; Lingyun Huang; Guotong Xie; Jing Xiao 006; Jingjing Lu; Gigin Lin; Le Lu 001 (MICCAI (2), 2021)

Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. - Youbao Tang; Ke Yan 006; Jinzheng Cai; Lingyun Huang; Guotong Xie; Jing Xiao 006; Jingjing Lu; Gigin Lin; Le Lu 001 (MICCAI (2), 2021)

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. - Fakai Wang; Kang Zheng; Yirui Wang 002; Xiaoyun Zhou 001; Le Lu 001; Jing Xiao 006; Min Wu 001; Chang-Fu Kuo; Shun Miao (PRIME@MICCAI, 2021)

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. - Yingda Xia; Jiawen Yao; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Alan L. Yuille; Kai Cao; Ling Zhang 002 (MICCAI (5), 2021)

Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. - Kang Zheng; Yirui Wang 002; Xiao-Yun Zhou 001; Fakai Wang; Le Lu 001; Chihung Lin; Lingyun Huang; Guotong Xie; Jing Xiao 006; Chang-Fu Kuo; Shun Miao (MICCAI (5), 2021)

Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. - Xiao-Yun Zhou 001; Bolin Lai; Weijian Li 001; Yirui Wang 002; Kang Zheng; Fakai Wang; Chihung Lin; Le Lu 001; Lingyun Huang; Mei Han; Guotong Xie; Jing Xiao 006; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. - Ashwin Raju; Shun Miao; Chi-Tung Cheng; Le Lu 001; Mei Han; Jing Xiao 006; Chien-Hung Liao; Junzhou Huang; Adam P. Harrison (CoRR, 2021)

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. - Bowen Li; Xinping Ren; Ke Yan 006; Le Lu 001; Guotong Xie; Jing Xiao 006; Dar-In Tai; Adam P. Harrison (CoRR, 2021)

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening. - Chi-Tung Cheng; Jinzheng Cai; Wei Teng; Youjing Zheng; Yuting Huang; Yu-Chao Wang; Chien-Wei Peng; Youbao Tang; Wei-Chen Lee; Ta-Sen Yeh; Jing Xiao 006; Le Lu 001; et al. (CoRR, 2021)

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. - Dazhou Guo; Xianghua Ye; Jia Ge; Xing Di; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Zhongjie Liu; Ling Peng; Senxiang Yan; Dakai Jin (CoRR, 2021)

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. - Xianghua Ye; Dazhou Guo; Chen-Kan Tseng; Jia Ge; Tsung-Min Hung; Ping-Ching Pai; Yanping Ren; Lu Zheng; Xinli Zhu; Ling Peng; Ying Chen; Xiaohua Chen; et al. (CoRR, 2021)

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning. - Bowen Li; Dar-In Tai; Ke Yan 006; Yi-Cheng Chen; Shiu-Feng Huang; Tse-Hwa Hsu; Wan-Ting Yu; Jing Xiao 006; Le Lu 001; Adam P. Harrison (CoRR, 2021)

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. - Peng Wang; Yuhsuan Wu; Bolin Lai; Xiaoyun Zhou 001; Le Lu 001; Wendi Liu; Huabang Zhou; Lingyun Huang; Jing Xiao 006; Adam P. Harrison; Ningyang Jia; Heping Hu (CoRR, 2021)

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. - Dazhou Guo; Jia Ge; Xianghua Ye; Senxiang Yan; Yi Xin; Yuchen Song; Bing-shen Huang; Tsung-Min Hung; Zhuotun Zhu; Ling Peng; Yanping Ren; Rui Liu; et al. (CoRR, 2021)

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis. - Kang Zheng; Yirui Wang 002; Chen-I Hsieh; Le Lu 001; Jing Xiao 006; Chang-Fu Kuo; Shun Miao (CoRR, 2021)

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. - Dakai Jin; Dazhou Guo; Tsung-Ying Ho; Adam P. Harrison; Jing Xiao 006; Chen-Kan Tseng; Le Lu 001 (Medical Image Anal., 2021)

DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. - Jiawen Yao; Yu Shi; Kai Cao; Le Lu 001; Jianping Lu; Qike Song; Gang Jin; Jing Xiao 006; Yang Hou; Ling Zhang 002 (Medical Image Anal., 2021)

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyska; Yuankai Huo (Medical Image Anal., 2021)

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. - Jinzheng Cai; Adam P. Harrison; Youjing Zheng; Ke Yan 006; Yuankai Huo; Jing Xiao 006; Lin Yang 002; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. - Yuhang Lu; Kang Zheng; Weijian Li 001; Yirui Wang 002; Adam P. Harrison; Chihung Lin; Song Wang 002; Jing Xiao 006; Le Lu 001; Chang-Fu Kuo; Shun Miao (IEEE Trans. Medical Imaging, 2021)

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. - Ke Yan 006; Jinzheng Cai; Youjing Zheng; Adam P. Harrison; Dakai Jin; Youbao Tang; Yuxing Tang; Lingyun Huang; Jing Xiao 006; Le Lu 001 (IEEE Trans. Medical Imaging, 2021)

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. - Ashwin Raju; Shun Miao; Dakai Jin; Le Lu 001; Junzhou Huang; Adam P. Harrison (AAAI, 2022)

Localized Adversarial Domain Generalization. - Wei Zhu 015; Le Lu 001; Jing Xiao 006; Mei Han; Jiebo Luo 001; Adam P. Harrison (CVPR, 2022)

Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. - Dazhou Guo; Jia Ge; Ke Yan 006; Puyang Wang; Zhuotun Zhu; Dandan Zheng; Xian-Sheng Hua 001; Le Lu 001; Tsung-Ying Ho; Xianghua Ye; Dakai Jin (MICCAI (5), 2022)

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. - Jing Xu; Yuan Gao 017; Wei Liu 127; Kai Huang 008; Shuang Zhao; Le Lu 001; Xiaosong Wang 001; Xian-Sheng Hua 001; Yu Wang 108; Xiang Chen (MICCAI (3), 2022)

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. - Lisha Yao; Yingda Xia; Haochen Zhang; Jiawen Yao; Dakai Jin; Bingjiang Qiu; Yuan Zhang; Suyun Li; Yanting Liang; Xian-Sheng Hua 001; Le Lu 001; Xin Chen 058; et al. (MICCAI (3), 2022)

Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. - Jiawen Yao; Xianghua Ye; Yingda Xia; Jian Zhou; Yu Shi; Ke Yan 006; Fang Wang; Lili Lin; Haogang Yu; Xian-Sheng Hua 001; Le Lu 001; Dakai Jin; et al. (MICCAI (3), 2022)

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design. - Xiao-Shuang Li; Xiang Liu 021; Le Lu 001; Xian-Sheng Hua 001; Ying Chi; Kelin Xia (Briefings Bioinform., 2022)

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation. - Minfeng Xu; Heng Guo; Jianfeng Zhang; Ke Yan 006; Le Lu 001 (CoRR, 2022)

Circle Representation for Medical Object Detection. - Ethan H. Nguyen; Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (IEEE Trans. Medical Imaging, 2022)

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images. - Ke Yan 006; Jinzheng Cai; Dakai Jin; Shun Miao; Dazhou Guo; Adam P. Harrison; Youbao Tang; Jing Xiao 006; Jingjing Lu; Le Lu 001 (IEEE Trans. Medical Imaging, 2022)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Mingze Yuan; Yingda Xia; Hexin Dong; Zifan Chen; Jiawen Yao; Mingyan Qiu; Ke Yan 006; Xiaoli Yin; Yu Shi; Xin Chen 058; Zaiyi Liu; Bin Dong 001; et al. (CVPR, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (ICCV, 2023)

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. - Yankai Jiang 001; Mingze Sun; Heng Guo; Xiaoyu Bai; Ke Yan 006; Le Lu 001; Minfeng Xu (ICCV, 2023)

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. - Lin Zhao 004; Hexin Dong; Ping Wu 003; Jiaying Lu 006; Le Lu 001; Jingren Zhou 001; Tianming Liu 001; Li Zhang 047; Ling Zhang 002; Yuxing Tang; Chuantao Zuo (IPMI, 2023)

Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. - Bo Zhou 009; Yingda Xia; Jiawen Yao; Le Lu 001; Jingren Zhou 001; Chi Liu 001; James S. Duncan; Ling Zhang 002 (IPMI, 2023)

Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation. - Zhishan Jiang; Ke Yan 006; Le Lu 001; Minfeng Xu (ISBI, 2023)

SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. - Fan Bai 008; Ke Yan 006; Xiaoyu Bai; Xinyu Mao; Xiaoli Yin; Jingren Zhou 001; Yu Shi; Le Lu 001; Max Q.-H. Meng (MICCAI (2), 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. - Zi Li; Lin Tian 001; Tony C. W. Mok; Xiaoyu Bai; Puyang Wang; Jia Ge; Jingren Zhou 001; Le Lu 001; Xianghua Ye; Ke Yan 006; Dakai Jin (MICCAI (10), 2023)

M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. - Quan Liu 002; Jiawen Yao; Lisha Yao; Xin Chen 058; Jingren Zhou 001; Le Lu 001; Ling Zhang 002; Zaiyi Liu; Yuankai Huo (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. - Ke Yan 006; Dakai Jin; Dazhou Guo; Minfeng Xu; Na Shen; Xian-Sheng Hua 001; Xianghua Ye; Le Lu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. - Ke Yan 006; Xiaoli Yin; Yingda Xia; Fakai Wang; Shu Wang; Yuan Gao 017; Jiawen Yao; Chunli Li; Xiaoyu Bai; Jingren Zhou 001; Ling Zhang 002; Le Lu 001; et al. (MICCAI (5), 2023)

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. - Mingze Yuan; Yingda Xia; Xin Chen 058; Jiawen Yao; Junli Wang; Mingyan Qiu; Hexin Dong; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Li Zhang 047; Zaiyi Liu; et al. (MICCAI (5), 2023)

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. - Jianpeng Zhang; Xianghua Ye; Jianfeng Zhang; Yuxing Tang; Minfeng Xu; Jianfei Guo; Xin Chen 058; Zaiyi Liu; Jingren Zhou 001; Le Lu 001; Ling Zhang 002 (MICCAI (5), 2023)

A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images. - Yan-Jie Zhou; Wei Liu 127; Yuan Gao 017; Jing Xu; Le Lu 001; Yuping Duan; Hao Cheng; Na Jin; Xiaoyong Man; Shuang Zhao; Yu Wang 108 (MICCAI (6), 2023)

Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. - Tony C. W. Mok; Zi Li; Yingda Xia; Jiawen Yao; Ling Zhang 002; Jingren Zhou 001; Le Lu 001 (MLMI@MICCAI (1), 2023)

Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation. - Puyang Wang; Panwen Hu; Jiali Liu; Hang Yu; Xianghua Ye; Jinliang Zhang; Hui Li; Li Yang; Le Lu 001; Dakai Jin; Feng-Ming (Spring) Kong (MLMI@MICCAI (1), 2023)

A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Lingyun Huang; Jing Xiao 006; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; et al. (CoRR, 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Jingren Zhou 001; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (CoRR, 2023)

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation. - Yankai Jiang 001; Mingze Sun; Heng Guo; Ke Yan 006; Le Lu 001; Minfeng Xu (CoRR, 2023)

A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans. - Fakai Wang; Chi-Tung Cheng; Chien-Wei Peng; Ke Yan 006; Min Wu 001; Le Lu 001; Chien-Hung Liao; Ling Zhang 002 (CoRR, 2023)

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Tony C. W. Mok; Zi Li; Minfeng Xu; Jingren Zhou 001; Le Lu 001; Dakai Jin; Xianghua Ye; Jingjing Lu; et al. (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation. - Lin Tian 001; Zi Li; Fengze Liu; Xiaoyu Bai; Jia Ge; Le Lu 001; Marc Niethammer; Xianghua Ye; Ke Yan 006; Dakai Jin (CoRR, 2023)

Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling. - Fakai Wang; Kang Zheng; Le Lu 001; Jing Xiao 006; Min Wu 001; Chang-Fu Kuo; Shun Miao (IEEE Trans. Medical Imaging, 2023)

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. - Weiwei Cao; Jianpeng Zhang; Yingda Xia; Tony C. W. Mok; Zi Li; Xianghua Ye; Le Lu 001; Jian Zheng; Yuxing Tang; Ling Zhang 002 (CVPR, 2024)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. - Wei Fang 005; Yuxing Tang; Heng Guo; Mingze Yuan; Tony C. W. Mok; Ke Yan 006; Jiawen Yao; Xin Chen 058; Zaiyi Liu; Le Lu 001; Ling Zhang 002; Minfeng Xu (CVPR, 2024)

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. - Tony C. W. Mok; Zi Li; Yunhao Bai; Jianpeng Zhang; Wei Liu 127; Yan-Jie Zhou; Ke Yan 006; Dakai Jin; Yu Shi; Xiaoli Yin; Le Lu 001; Ling Zhang 002 (CVPR, 2024)

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Haoshen Li; Dazhou Guo; Li Zhang 047; Na Shen; Qifeng Wang; Xiaowei Ding; Le Lu 001; Xianghua Ye; Dakai Jin (ECCV (42), 2024)

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. - Wei Li 190; Zhen Huang 007; Xinmei Tian 001; Le Lu 001; Houqiang Li; Xu Shen 001; Jieping Ye (EMNLP, 2024)

Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. - Zhentao Tan; Xiaodan Li; Yue Wu; Qi Chu 001; Le Lu 001; Nenghai Yu; Jieping Ye (ICLR, 2024)

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. - Wei Chen 005; Zhen Huang 007; Liang Xie 003; Binbin Lin; Houqiang Li; Le Lu 001; Xinmei Tian 001; Deng Cai 001; Yonggang Zhang 003; Wenxiao Wang 001; Xu Shen 001; Jieping Ye (ICML, 2024)

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. - Bizhe Bai; Yan-Jie Zhou; Yujian Hu; Tony C. W. Mok; Yilang Xiang; Le Lu 001; Hongkun Zhang; Minfeng Xu (MICCAI (1), 2024)

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. - Wei Huang; Wei Liu 127; Xiaoming Zhang 008; Xiaoli Yin; Xu Han; Chunli Li; Yuan Gao 017; Yu Shi; Le Lu 001; Ling Zhang 002; Lei Zhang 006; Ke Yan 006 (MICCAI (9), 2024)

Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion. - Haoshen Li; Yirui Wang 002; Jie Zhu; Dazhou Guo; Qinji Yu; Ke Yan 006; Le Lu 001; Xianghua Ye; Li Zhang 047; Qifeng Wang; Dakai Jin (MICCAI (11), 2024)

Improved Esophageal Varices Assessment from Non-contrast CT Scans. - Chunli Li; Xiaoming Zhang 008; Yuan Gao 017; Xiaoli Yin; Le Lu 001; Ling Zhang 002; Ke Yan 006; Yu Shi (MICCAI (5), 2024)

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Le Lu 001; Na Shen; Xianghua Ye; Xiaowei Ding; Dakai Jin (MICCAI (5), 2024)

IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images. - Yejia Zhang; Hanqing Chao; Zhongwei Qiu; Wenbin Liu; Yixuan Shen; Nishchal Sapkota; Pengfei Gu; Danny Z. Chen; Le Lu 001; Ke Yan 006; Dakai Jin; Yun Bian; et al. (MICCAI (4), 2024)

A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. - Fenqiang Zhao; Yuxing Tang; Le Lu 001; Ling Zhang 002 (MICCAI (9), 2024)

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. - Vince Zhu; Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Yingda Xia; Le Lu 001; Xianghua Ye; Wei Zhu 015; Dakai Jin (MICCAI (8), 2024)

Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues. - Tianxiang Chen; Zhentao Tan; Tao Gong; Qi Chu 001; Yue Wu; Bin Liu 016; Le Lu 001; Jieping Ye; Nenghai Yu (CoRR, 2024)

CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios. - Jingyang Lin; Yingda Xia; Jianpeng Zhang; Ke Yan 006; Le Lu 001; Jiebo Luo 001; Ling Zhang 002 (CoRR, 2024)

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. - Guangyu Guo; Jiawen Yao; Yingda Xia; Tony C. W. Mok; Zhilin Zheng; Junwei Han 001; Le Lu 001; Dingwen Zhang; Jian Zhou; Ling Zhang 002 (CoRR, 2024)

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. - Yujian Hu; Yilang Xiang; Yan-Jie Zhou; Yangyan He; Shifeng Yang; Xiaolong Du; Chunlan Den; Youyao Xu; Gaofeng Wang; Zhengyao Ding; Jingyong Huang; Wenjun Zhao; et al. (CoRR, 2024)

A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans. - Minfeng Xu; Chen-Chen Fan; Yan-Jie Zhou; Wenchao Guo; Pan Liu; Jing Qi; Le Lu 001; Hanqing Chao; Kunlun He (CoRR, 2024)

Leveraging Semantic Asymmetry for Precise Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT. - Zi Li; Ying Chen; Zeli Chen; Yanzhou Su; Tai Ma; Tony C. W. Mok; Yan-Jie Zhou; Yunhai Bai; Zhinlin Zheng; Le Lu 001; Yirui Wang 002; Jia Ge; et al. (CoRR, 2024)

From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba. - Zhongwei Qiu; Hanqing Chao; Tiancheng Lin 004; Wanxing Chang; Zijiang Yang 009; Wenpei Jiao; Yixuan Shen; Yunshuo Zhang; Yelin Yang; Wenbin Liu; Hui Jiang; Yun Bian; et al. (CoRR, 2024)

From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer. - Zijiang Yang 009; Zhongwei Qiu; Tiancheng Lin 004; Hanqing Chao; Wanxing Chang; Yelin Yang; Yunshuo Zhang; Wenpei Jiao; Yixuan Shen; Wenbin Liu; Dongmei Fu; Dakai Jin; et al. (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. - Zhentao Tan; Yue Wu; Qiankun Liu 001; Qi Chu 001; Le Lu 001; Jieping Ye; Nenghai Yu (IEEE Trans. Image Process., 2024)

LViT: Language Meets Vision Transformer in Medical Image Segmentation. - Zihan Li; Yunxiang Li; Qingde Li; Puyang Wang; Dazhou Guo; Le Lu 001; Dakai Jin; You Zhang 003; Qingqi Hong (IEEE Trans. Medical Imaging, 2024)

Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning. - Puyang Wang; Dazhou Guo; Dandan Zheng; Minghui Zhang; Haogang Yu; Xin Sun; Jia Ge; Yun Gu; Le Lu 001; Xianghua Ye; Dakai Jin (IEEE Trans. Medical Imaging, 2024)

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. - Heng Guo; Jianfeng Zhang; Jiaxing Huang; Tony C. W. Mok; Dazhou Guo; Ke Yan 006; Le Lu 001; Dakai Jin; Minfeng Xu (AAAI, 2025)

Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. - Wei Li 190; Zhen Huang 007; Houqiang Li; Le Lu 001; Yang Lu; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ACL (1), 2025)

Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. - Chenghao Sun; Zhen Huang 007; Yonggang Zhang 003; Le Lu 001; Houqiang Li; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ACL (1), 2025)

nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark. - Yanfeng Zhou; Lingrui Li; Le Lu 001; Minfeng Xu (CVPR, 2025)

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. - Ao Li 004; Wei Fang 005; Hongbo Zhao; Le Lu 001; Ge Yang 002; Minfeng Xu (ICLR, 2025)

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding. - Zhongyi Shui; Jianpeng Zhang; Weiwei Cao; Sinuo Wang; Ruizhe Guo; Le Lu 001; Lin Yang 002; Xianghua Ye; Tingbo Liang; Qi Zhang; Ling Zhang 002 (ICLR, 2025)

S4R: Separated Self-Supervised Spectral Regression for Hyperspectral Histopathology Image Diagnosis. - Yan Wang 033; Xingran Xie; Lili Gao; Benyan Zhang; Chunhua Zhou; Duowu Zou; Le Lu 001; Qingli Li (IEEE Trans. Image Process., 2025)

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding. - Heng Guo; Jianfeng Zhang; Ke Yan 006; Le Lu 001; Minfeng Xu (IEEE J. Biomed. Health Informatics, 2025)

RemixFormer++: A Multi-Modal Transformer Model for Precision Skin Tumor Differential Diagnosis With Memory-Efficient Attention. - Jing Xu; Kai Huang 008; Lianzhen Zhong; Yuan Gao 017; Kai Sun; Wei Liu 127; Yanjie Zhou; Wenchao Guo; Yuan Guo; Yuanqiang Zou; Yuping Duan; Le Lu 001; et al. (IEEE Trans. Medical Imaging, 2025)

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Dandan Zheng; Dashan Ai; Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Yun Bian; Na Shen; Xiaowei Ding; Le Lu 001; et al. (CoRR, 2025)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. - Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Dandan Zheng; Heng Guo; Puyang Wang; Ke Yan 006; Yirui Wang 002; Qinji Yu; Zi Li; Minfeng Xu; Jianfeng Zhang; et al. (CoRR, 2025)

UniReg: Foundation Model for Controllable Medical Image Registration. - Zi Li; Jianpeng Zhang; Tai Ma; Tony C. W. Mok; Yan-Jie Zhou; Zeli Chen; Xianghua Ye; Le Lu 001; Dakai Jin (CoRR, 2025)

Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos. - Jiaheng Zhou; Yanfeng Zhou; Wei Fang 005; Yuxing Tang; Le Lu 001; Ge Yang 002 (CoRR, 2025)

Bootstrapping Audio-Visual Video Segmentation by Strengthening Audio Cues. - Tianxiang Chen; Zhentao Tan; Tao Gong; Qi Chu 001; Yue Wu; Bin Liu 016; Nenghai Yu; Le Lu 001; Jieping Ye (IEEE Trans. Circuits Syst. Video Technol., 2025)

HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss. - Yi Huang; Ke Zhang; Wei Liu 127; Yuanyuan Wang; Vishal M. Patel; Le Lu 001; Xu Han; Dakai Jin; Ke Yan 006 (CoRR, 2025)

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans. - Lisha Yao; Yingda Xia; Zhihong Chen; Suyun Li; Jiawen Yao; Dakai Jin; Yanting Liang; Jiatai Lin; Bingchao Zhao; Chu Han; Le Lu 001; Ling Zhang 002; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration. - Jiaxing Huang; Heng Guo; Le Lu 001; Fan Yang 081; Minfeng Xu; Ge Yang 002; Wei Luo (CoRR, 2025)

Correction: Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling. - Zhilin Zheng; Xu Fang; Jiawen Yao; Mengmeng Zhu; Le Lu 001; Yu Shi; Hong Lu; Jianping Lu; Ling Zhang 002; Chengwei Shao; Yun Bian (Int. J. Comput. Vis., 2025)

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans. - Jiacheng Hao; Xiaoming Zhang 008; Wei Liu 127; Xiaoli Yin; Yuan Gao 017; Chunli Li; Ling Zhang 002; Le Lu 001; Yu Shi; Xu Han; Ke Yan 006 (CoRR, 2025)

DistAL: A Domain-Shift Active Learning Framework With Transferable Feature Learning for Lesion Detection. - Fan Bai 008; Ran Wei; Xiaoyu Bai; Dakai Jin; Xianghua Ye; Le Lu 001; Ke Yan 006; Max Q.-H. Meng (IEEE Trans. Medical Imaging, 2025)

Rethinking the Potential of Layer Freezing for Efficient DNN Training. - Chence Yang; Ci Zhang; Le Lu 001; Qitao Tan; Sheng Li; Ao Li 004; Xulong Tang; Shaoyi Huang; Jinzhen Wang; Guoming Li; Jundong Li; Xiaoming Zhai; et al. (CoRR, 2025)

Zig-RiR: Zigzag RWKV-in-RWKV for Efficient Medical Image Segmentation. - Tianxiang Chen; Xudong Zhou; Zhentao Tan; Yue Wu; Ziyang Wang; Zi Ye; Tao Gong; Qi Chu 001; Nenghai Yu; Le Lu 001 (IEEE Trans. Medical Imaging, 2025)