Automatic measurement of early gestational sac diameters from one scan session. - Ling Zhang 002; Siping Chen; Shengli Li 001; Tianfu Wang 001 (Computer-Aided Diagnosis, 2011)

A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei. - Youyi Song; Ling Zhang 002; Siping Chen; Dong Ni 001; Baopu Li; Yongjing Zhou; Baiying Lei; Tianfu Wang 001 (EMBC, 2014)

Automated segmentation of abnormal cervical cells using global and local graph cuts. - Ling Zhang 002; Hui Kong 001; Chien Ting Chin; Shaoxiong Liu; Tianfu Wang 001; Siping Chen (ISBI, 2014)

Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts. - Ling Zhang 002; Hui Kong 001; Chien Ting Chin; Shaoxiong Liu; Zhi Chen 025; Tianfu Wang 001; Siping Chen (Comput. Medical Imaging Graph., 2014)

Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data. - Ling Zhang 002; Andreas Wahle; Zhi Chen 025; John J. Lopez; Tomas Kovarnik; Milan Sonka (MICCAI (2), 2015)

Improved segmentation of abnormal cervical nuclei using a graph-search based approach. - Ling Zhang 002; Shaoxiong Liu; Tianfu Wang 001; Siping Chen; Milan Sonka (Digital Pathology, 2015)

Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method. - Ling Zhang 002; Andreas Wahle; Zhi Chen 025; Li Zhang 047; Richard W. Downe; Tomas Kovarnik; Milan Sonka (Image Processing, 2015)

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning. - Youyi Song; Ling Zhang 002; Siping Chen; Dong Ni 001; Bai Ying Lei; Tianfu Wang 001 (IEEE Trans. Biomed. Eng., 2015)

Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization. - Ling Zhang 002; Andreas Wahle; Zhi Chen 025; Li Zhang 047; Richard W. Downe; Tomas Kovarnik; Milan Sonka (IEEE Trans. Medical Imaging, 2015)

Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context. - Ling Zhang 002; Andreas Wahle; Zhi Chen 025; John J. Lopez; Tomas Kovarnik; Milan Sonka (ISBI, 2016)

Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS. - Zhi Chen 025; Andreas Wahle; Ling Zhang 002; Tomas Kovarnik; John J. Lopez; Milan Sonka (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

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)

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)

Graph-based segmentation of abnormal nuclei in cervical cytology. - Ling Zhang 002; Hui Kong 001; Shaoxiong Liu; Tianfu Wang 001; Siping Chen; Milan Sonka (Comput. Medical Imaging Graph., 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)

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)

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)

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)

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)

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)

Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy. - Ling Zhang 002; Andreas Wahle; Zhi Chen 025; John J. Lopez; Tomas Kovarnik; Milan Sonka (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)

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 Segmentation from Extreme Points. - Holger Roth; Ling Zhang 002; Dong Yang 005; Fausto Milletari; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. - Xiaosong Wang 001; Ling Zhang 002; Holger Roth; Daguang Xu; Ziyue Xu 001 (GLMI@MICCAI, 2019)

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Holger Roth; Dong Yang 005; Fausto Milletari; Ling Zhang 002; Daguang Xu (SASHIMI@MICCAI, 2019)

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. - Dong Yang 005; Holger Roth; Ziyue Xu 001; Fausto Milletari; Ling Zhang 002; Daguang Xu (MICCAI (2), 2019)

Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. - Haoming Lin; Yuyang Hu; Siping Chen; Jianhua Yao 001; Ling Zhang 002 (IEEE Access, 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)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (CoRR, 2019)

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)

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (MIDL, 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)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)