Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background. - Tianming Liu 001; Feihu Qi; Yiqiang Zhan (VCIP, 2000)

Rapid Object Tracking on Compressed Video. - Hanfeng Chen; Yiqiang Zhan; Feihu Qi (IEEE Pacific Rim Conference on Multimedia, 2001)

Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method. - Yiqiang Zhan; Dinggang Shen (MICCAI (1), 2003)

Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model. - Dinggang Shen; Yiqiang Zhan; Christos Davatzikos (IEEE Trans. Medical Imaging, 2003)

Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface. - Yiqiang Zhan; Dinggang Shen (CIS, 2004)

Deformable Registration of Male Pelvises in CT Images. - Yiqiang Zhan; Dinggang Shen; Russell H. Taylor (ISBI, 2004)

An Efficient Method for Deformable Segmentation of 3D US Prostate Images. - Yiqiang Zhan; Dinggang Shen (MIAR, 2004)

Increasing Efficiency of SVM by Adaptively Penalizing Outliers. - Yiqiang Zhan; Dinggang Shen (EMMCVPR, 2005)

Design efficient support vector machine for fast classification. - Yiqiang Zhan; Dinggang Shen (Pattern Recognit., 2005)

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection. - Yiqiang Zhan; Michael D. Feldman; John Tomaszewski 001; Christos Davatzikos; Dinggang Shen (MICCAI (2), 2006)

An adaptive error penalization method for training an efficient and generalized SVM. - Yiqiang Zhan; Dinggang Shen (Pattern Recognit., 2006)

Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method. - Yiqiang Zhan; Dinggang Shen (IEEE Trans. Medical Imaging, 2006)

Targeted Prostate Biopsy Using Statistical Image Analysis. - Yiqiang Zhan; Dinggang Shen; Jianchao Zeng 002; Leon Sun; Gabor Fichtinger; Judd W. Moul; Christos Davatzikos (IEEE Trans. Medical Imaging, 2007)

Semantics and CBIR: a medical imaging perspective. - Xiang Sean Zhou; Sonja Zillner; Manuel Möller; Michael Sintek; Yiqiang Zhan; Arun Krishnan; Alok Gupta (CIVR, 2008)

Joint detection and localization of multiple anatomical landmarks through learning. - Mert Dikmen; Yiqiang Zhan; Xiang Sean Zhou (Computer-Aided Diagnosis, 2008)

An information theoretic view of the scheduling problem in whole-body CAD. - Yiqiang Zhan; Xiang Sean Zhou; Arun Krishnan (Computer-Aided Diagnosis, 2008)

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images. - Yiqiang Zhan; Xiang Sean Zhou; Zhigang Peng; Arun Krishnan (MICCAI (1), 2008)

Non-doped red emission: A solution for bias-independent red emission. - Yiqiang Zhan; J. Zhou; Y. C. Zhou; Y. Wu; E. G. Obbard; X. M. Ding; X. Y. Hou (Displays, 2008)

Robust algorithms for anatomic plane primitive detection in MR. - Maneesh Dewan; Yiqiang Zhan; Zhigang Peng; Xiang Sean Zhou (Computer-Aided Diagnosis, 2009)

Robust anatomy detection from CT topograms. - Zhigang Peng; Yiqiang Zhan; Xiang Sean Zhou; Arun Krishnan (Computer-Aided Diagnosis, 2009)

Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning. - Yiqiang Zhan; Maneesh Dewan; Xiang Sean Zhou (MICCAI (1), 2009)

A comparison study of atlas-based image segmentation: the advantage of multi-atlas based on shape clustering. - Xian Fan; Yiqiang Zhan; Gerardo Hermosillo Valadez (Image Processing, 2009)

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)

Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images. - Xiang Sean Zhou; Zhigang Peng; Yiqiang Zhan; Maneesh Dewan; Bing Jian; Arun Krishnan; Yimo Tao; Martin Harder; Stefan Grosskopf; Ute Feuerlein (Multimedia Information Retrieval, 2010)

Sparse shape composition: A new framework for shape prior modeling. - Shaoting Zhang 001; Yiqiang Zhan; Maneesh Dewan; Junzhou Huang; Dimitris N. Metaxas; Xiang Sean Zhou (CVPR, 2011)

Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection. - Yiqiang Zhan; Maneesh Dewan; Xiang Sean Zhou (IPMI, 2011)

Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model. - Ting Chen 001; Yiqiang Zhan; Shaoting Zhang 001; Maneesh Dewan (MICCAI (2), 2011)

Deformable Segmentation via Sparse Shape Representation. - Shaoting Zhang 001; Yiqiang Zhan; Maneesh Dewan; Junzhou Huang; Dimitris N. Metaxas; Xiang Sean Zhou (MICCAI (2), 2011)

Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection. - Yiqiang Zhan; Maneesh Dewan; Martin Harder; Arun Krishnan; Xiang Sean Zhou (IEEE Trans. Medical Imaging, 2011)

Efficient sparse shape composition with its applications in biomedical image analysis: An overview. - Shaoting Zhang 001; Yiqiang Zhan; Yan Zhou; Dimitris N. Metaxas (ISBI, 2012)

Information Forests. - Zhao Yi; Stefano Soatto; Maneesh Dewan; Yiqiang Zhan (ITA, 2012)

Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model. - Yiqiang Zhan; Maneesh Dewan; Martin Harder; Xiang Sean Zhou (MICCAI (1), 2012)

Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning. - Shaoting Zhang 001; Yiqiang Zhan; Yan Zhou; Mustafa Gökhan Uzunbas; Dimitris N. Metaxas (MICCAI (3), 2012)

Towards robust and effective shape modeling: Sparse shape composition. - Shaoting Zhang 001; Yiqiang Zhan; Maneesh Dewan; Junzhou Huang; Dimitris N. Metaxas; Xiang Sean Zhou (Medical Image Anal., 2012)

Deformable segmentation via sparse representation and dictionary learning. - Shaoting Zhang 001; Yiqiang Zhan; Dimitris N. Metaxas (Medical Image Anal., 2012)

Mining anatomical, physiological and pathological information from medical images. - Xiang Sean Zhou; Yiqiang Zhan; Vikas C. Raykar; Gerardo Hermosillo Valadez; Luca Bogoni; Zhigang Peng (SIGKDD Explor., 2012)

MR prostate segmentation via distributed discriminative dictionary (DDD) learning. - Yanrong Guo; Yiqiang Zhan; Yaozong Gao; Jianguo Jiang; Dinggang Shen (ISBI, 2013)

Brain PET Attenuation Correction without CT: An Investigation. - Maneesh Dewan; Yiqiang Zhan; Gerardo Hermosillo; Bing Jian; Xiang Sean Zhou (PRNI, 2013)

3D anatomical shape atlas construction using mesh quality preserved deformable models. - Shaoting Zhang 001; Yiqiang Zhan; Xinyi Cui; Mingchen Gao; Junzhou Huang; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2013)

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images. - Mingchen Gao; Yiqiang Zhan; Gerardo Hermosillo Valadez; Yoshihisa Shinagawa; Dimitris N. Metaxas; Xiang Sean Zhou (ISBI, 2014)

Adaptive geodesic transform for segmentation of vertebrae on CT images. - Bilwaj Gaonkar; Shu Liao; Gerardo Hermosillo; Yiqiang Zhan (Computer-Aided Diagnosis, 2014)

Multi-view learning based robust collimation detection in digital radiographs. - Hongda Mao; Zhigang Peng; Frank Dennerlein; Yoshihisa Shinagawa; Yiqiang Zhan; Xiang Sean Zhou (Image Processing, 2014)

Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones. - Fitsum A. Reda; Zhigang Peng; Shu Liao; Yoshihisa Shinagawa; Yiqiang Zhan; Gerardo Hermosillo; Xiang Sean Zhou (Image Processing, 2014)

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy. - Yaozong Gao; Yiqiang Zhan; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Computer-Assisted Medical Image Analysis Systems. - Shu Liao; Shipeng Yu; Matthias Wolf 001; Gerardo Hermosillo; Yiqiang Zhan; Yoshihisa Shinagawa; Zhigang Peng; Xiang Sean Zhou; Luca Bogoni; Marcos Salganicoff (Healthcare Data Analytics, 2015)

Bodypart Recognition Using Multi-stage Deep Learning. - Zhennan Yan; Yiqiang Zhan; Zhigang Peng; Shu Liao; Yoshihisa Shinagawa; Dimitris N. Metaxas; Xiang Sean Zhou (IPMI, 2015)

A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests. - Fitsum A. Reda; Yiqiang Zhan; Xiang Sean Zhou (MICCAI (3), 2015)

Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network. - Bin Kong 001; Yiqiang Zhan; Min C. Shin; Thomas Denny; Shaoting Zhang 001 (MICCAI (3), 2016)

Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks. - Liang Zhao 018; Yiqiang Zhan; Dominik Nickel; Matthias Fenchel; Berthold Kiefer; Xiang Sean Zhou (Patch-MI@MICCAI, 2016)

Hierarchical Latent Word Clustering. - Halid Ziya Yerebakan; Fitsum A. Reda; Yiqiang Zhan; Yoshihisa Shinagawa (CoRR, 2016)

Automatic Lumbar Spondylolisthesis Measurement in CT Images. - Shu Liao; Yiqiang Zhan; Zhongxing Dong; Ruyi Yan; Liyan Gong; Xiang Sean Zhou; Marcos Salganicoff; Jun Fei (IEEE Trans. Medical Imaging, 2016)

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition. - Zhennan Yan; Yiqiang Zhan; Zhigang Peng; Shu Liao; Yoshihisa Shinagawa; Shaoting Zhang 001; Dimitris N. Metaxas; Xiang Sean Zhou (IEEE Trans. Medical Imaging, 2016)

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition. - Zhennan Yan; Yiqiang Zhan; Shaoting Zhang 001; Dimitris N. Metaxas; Xiang Sean Zhou (Deep Learning for Medical Image Analysis, 2017)

Automatic lumbar spine measurement in CT images. - Yunxiang Mao; Dong Zheng; Shu Liao; Zhigang Peng; Ruyi Yan; Junhua Liu; Zhongxing Dong; Liyan Gong; Xiang Sean Zhou; Yiqiang Zhan; Jun Fei (Computer-Aided Diagnosis, 2017)

Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks. - Parmeet S. Bhatia; Fitsum A. Reda; Martin Harder; Yiqiang Zhan; Xiang Sean Zhou (Image Processing, 2017)

Document Representation Learning for Patient History Visualization. - Halid Ziya Yerebakan; Yoshihisa Shinagawa; Parmeet S. Bhatia; Yiqiang Zhan (COLING (Demos), 2018)

Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation. - Chaowei Tan; Liang Zhao 018; Zhennan Yan; Kang Li 004; Dimitris N. Metaxas; Yiqiang Zhan (ISBI, 2018)

A deep-learning based automatic pulmonary nodule detection system. - Yiyuan Zhao; Liang Zhao 018; Zhennan Yan; Matthias Wolf 001; Yiqiang Zhan (Computer-Aided Diagnosis, 2018)

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF). - Zhenghan Fang; Yong Chen; Mingxia Liu 001; Yiqiang Zhan; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2018)

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (MICCAI (1), 2018)

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. - Yu Zhao 007; Shu Liao; Yimo Guo; Liang Zhao 018; Zhennan Yan; Sungmin Hong; Gerardo Hermosillo; Tianming Liu 001; Xiang Sean Zhou; Yiqiang Zhan (MICCAI (1), 2018)

Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network. - Jiawei Xu 002; Yuxiang Huan; Kunlong Yang; Yiqiang Zhan; Zhuo Zou; Li-Rong Zheng 001 (IEEE Access, 2018)

Universal and Convenient Optimization Strategies for Three-Terminal Memristors. - Kunlong Yang; Yuxiang Huan; Jiawei Xu 002; Zhuo Zou; Yiqiang Zhan; Li-Rong Zheng 001; Fernando Seoane (IEEE Access, 2018)

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. - Yunhao Ge; Dongming Wei; Zhong Xue; Qian Wang 001; Xiang Zhou 009; Yiqiang Zhan; Shu Liao (ISBI, 2019)

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets. - Miaofei Han; Guang Yao; Wenhai Zhang; Guangrui Mu; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (SegTHOR@ISBI, 2019)

Spatial and depth weighted neural network for diagnosis of Alzheimer's disease. - Qingfeng Li; Quan Huo; Xiaodan Xing; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi 001 (Computer-Aided Diagnosis, 2019)

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. - Guangrui Mu; Yiyi Ma; Miaofei Han; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (Computer-Aided Diagnosis, 2019)

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression. - Qingfeng Li; Xiaodan Xing; Ying Sun; Bin Xiao; Hao Wei; Quan Huo; Minqing Zhang; Xiang Sean Zhou; Yiqiang Zhan; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation. - Qin Liu 004; Xiongfeng Tang; Deming Guo; Yanguo Qin; Pengfei Jia; Yiqiang Zhan; Xiang Zhou 009; Dijia Wu (MICCAI (6), 2019)

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection. - Guangrui Mu; Yanbo Chen; Dijia Wu; Yiqiang Zhan; Xiang Sean Zhou; Yaozong Gao (MLMI@MICCAI, 2019)

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. - Xi Ouyang; Zhong Xue; Yiqiang Zhan; Xiang Sean Zhou; Qingfeng Wang; Ying Zhou; Qian Wang 001; Jie-Zhi Cheng (MICCAI (6), 2019)

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. - Bin Xiao; Xiaoqing Cheng; Qingfeng Li; Qian Wang 001; Lichi Zhang; Dongming Wei; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Guangming Lu 001; Feng Shi 001 (MLMI@MICCAI, 2019)

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis. - Xiaodan Xing; Qingfeng Li; Hao Wei; Minqing Zhang; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001 (MICCAI (4), 2019)

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. - Kai Xuan; Dongming Wei; Dijia Wu; Zhong Xue; Yiqiang Zhan; Weiwu Yao; Qian Wang 001 (MICCAI (3), 2019)

Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph. - Minqing Zhang; Dijia Wu; Qin Liu 004; Qingfeng Li; Yiqiang Zhan; Xiang Sean Zhou (MLMI@MICCAI, 2019)

Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. - Miaofei Han; Yu Zhang; Qiangqiang Zhou; Chengcheng Rong; Yiqiang Zhan; Xiang Zhou 009; Yaozong Gao (Image-Guided Procedures, 2019)

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph. - Xuhua Ren; Tingting Li; Xiujun Yang; Shuai Wang 003; Sahar Ahmad; Lei Xiang; Shaun Richard Stone; Lihong Li; Yiqiang Zhan; Dinggang Shen; Qian Wang 001 (IEEE J. Biomed. Health Informatics, 2019)

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. - Linlin Yao; Pengbo Jiang; Zhong Xue; Yiqiang Zhan; Dijia Wu; Lichi Zhang; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2020)

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. - Xi Ouyang; Jifei Che; Qitian Chen; Zheren Li; Yiqiang Zhan; Zhong Xue; Qian Wang 001; Jie-Zhi Cheng; Dinggang Shen (MICCAI (7), 2021)

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. - Wenjun Shen; Liyun Chen; Dongming Wei; Yuanfang Qiao; Yiqiang Zhan; Dinggang Shen; Qian Wang 001 (MLMI@MICCAI, 2021)

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. - Haoyi Tao; Yuanfang Qiao; Lichi Zhang; Yiqiang Zhan; Zhong Xue; Qian Wang 001 (PRIME@MICCAI, 2021)

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. - Zhenrong Shen 001; Xi Ouyang; Zhuochen Wang; Yiqiang Zhan; Zhong Xue; Qian Wang 001; Jie-Zhi Cheng; Dinggang Shen (PRCV (3), 2021)

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. - Yu Fang; Zhiming Cui; Lei Ma 006; Lanzhuju Mei; Bojun Zhang; Yue Zhao 012; Zhihao Jiang; Yiqiang Zhan; Yongsheng Pan; Min Zhu; Dinggang Shen (MICCAI (5), 2022)

TaG-Net: Topology-Aware Graph Network for Vessel Labeling. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. - Linlin Yao; Zhong Xue; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Feng Shi 001; Dinggang Shen (MLMI@MICCAI, 2022)

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning. - Xiao Zhang 028; Jingyang Zhang; Lei Ma 006; Peng Xue; Yan Hu; Dijia Wu; Yiqiang Zhan; Jun Feng 003; Dinggang Shen (MICCAI (5), 2022)

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. - Xiangxi Meng; Yuning Gu; Yongsheng Pan; Nizhuan Wang 001; Peng Xue; Mengkang Lu; Xuming He 001; Yiqiang Zhan; Dinggang Shen (CoRR, 2022)

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI. - Xibao Li; Xi Ouyang; Jiadong Zhang; Dongdong Gu; Zehong Cao; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Yuyao Zhang; Feng Shi 001; Dinggang Shen (ISBI, 2023)

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans. - Xiaoxian Xu; Ying Wei 009; Jie Zheng; Zhongxiang Ding; Yiqiang Zhan; Xiang Sean Zhou; Zhong Xue; Feng Shi 001; Dinggang Shen (ISBI, 2023)

HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis. - Lanzhuju Mei; Yu Fang; Zhiming Cui; Ke Deng; Nizhuan Wang 001; Xuming He 001; Yiqiang Zhan; Xiang Zhou 009; Maurizio Tonetti; Dinggang Shen (MICCAI (6), 2023)

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images. - Wenqi Zhou; Xiao Zhang 028; Dongdong Gu; Sheng Wang 014; Jiayu Huo; Rui Zhang; Zhihao Jiang; Feng Shi 001; Zhong Xue; Yiqiang Zhan; Xi Ouyang; Dinggang Shen (MICCAI (3), 2023)

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI. - Shanshan Guo; Jiadong Zhang; Dongdong Gu; Fei Gao 010; Yiqiang Zhan; Zhong Xue; Dinggang Shen (MLMI@MICCAI (1), 2023)

An Energy-Efficient Flexible Multi-Modal Wireless Sweat Sensing System Based on Laser Induced Graphene. - Jiuqing Feng; Yizhou Jiang; Kai Wang; Jianzheng Li; Jialong Zhang; Mi Tian; Guoping Chen; Laigui Hu; Yiqiang Zhan; Yajie Qin (Sensors, 2023)

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution. - Zixu Zhuang; Liping Si; Sheng Wang 014; Kai Xuan; Xi Ouyang; Yiqiang Zhan; Zhong Xue; Lichi Zhang; Dinggang Shen; Weiwu Yao; Qian Wang 001 (IEEE Trans. Medical Imaging, 2023)

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. - Xin Wang 084; Jun Wang 024; Fei Shan; Yiqiang Zhan; Jun Shi 004; Dinggang Shen (Comput. Biol. Medicine, 2023)

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. - Linlin Yao; Feng Shi 001; Sheng Wang 014; Xiao Zhang 028; Zhong Xue; Xiaohuan Cao; Yiqiang Zhan; Lizhou Chen; Yuntian Chen; Bin Song 002; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. - Xi Ouyang; Dongdong Gu; Xuejian Li; Wenqi Zhou; Qianqian Chen; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi 001; Zhong Xue; Dinggang Shen (MICCAI (8), 2024)

Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images. - Mingyang Yu; Yaozong Gao; Yiran Shu; Yanbo Chen; Jingyu Liu 002; Caiwen Jiang; Kaicong Sun; Weifang Zhang; Yiqiang Zhan; Xiang Sean Zhou; Shaonan Zhong; Xinlu Wang; et al. (IPMI (2), 2025)

AASeg: Artery-Aware Global-to-Local Framework for Aneurysm Segmentation in Head and Neck CTA Images. - Linlin Yao; Dongdong Chen 003; Xiangyu Zhao 003; Manman Fei; Zhiyun Song; Zhong Xue; Yiqiang Zhan; Bin Song 002; Feng Shi 001; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics. - Tie Deng; Junbang Feng; Xingyan Le; Yuwei Xia; Feng Shi 001; Fei Yu; Yiqiang Zhan; Xinghua Liu; Chuanming Li (BMC Medical Imaging, 2025)