Ling Zhang

95 papers A* 8B 1Journal 51Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysis.
Medical Image Anal.
Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi
2025 J jnl
A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans.
IEEE Trans. Neural Networks Learn. Syst.
Lisha Yao, Yingda Xia, Zhihong Chen, Suyun Li, Jiawen Yao, Dakai Jin, Yanting Liang, Jiatai Lin, Bingchao Zhao, Chu Han, Le Lu, Ling Zhang, Zaiyi Liu, Xin Chen
2025 J jnl
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training.
CoRR
Weiwei Cao, Jianpeng Zhang, Zhongyi Shui, Sinuo Wang, Zeli Chen, Xi Li, Le Lu, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
2025 J jnl
Correction: Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling.
Int. J. Comput. Vis.
Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian
2025 J jnl
Deep Attention Learning for Pre-operative Lymph Node Metastasis Prediction in Pancreatic Cancer via Multi-object Relationship Modeling.
Int. J. Comput. Vis.
Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian
2025 A* conf
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding.
ICLR
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
2025 J jnl
Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding.
CoRR
Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
2025 J jnl
Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis.
CoRR
Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi
2025 J jnl
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans.
CoRR
Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan
2025 — conf
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans.
MICCAI (15)
Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan
2024 — conf
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation.
MICCAI (9)
Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang
2024 J jnl
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports.
CoRR
Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang
2024 A* conf
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models.
CVPR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 J jnl
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models.
CoRR
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
2024 J jnl
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios.
CoRR
Jingyang Lin, Yingda Xia, Jianpeng Zhang, Ke Yan, Le Lu, Jiebo Luo, Ling Zhang
2024 A* conf
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CVPR
Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024 J jnl
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR
Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024 J jnl
Improved Esophageal Varices Assessment from Non-Contrast CT Scans.
CoRR
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi
2024 — conf
Improved Esophageal Varices Assessment from Non-contrast CT Scans.
MICCAI (5)
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi
2024 — conf
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning.
MICCAI (9)
Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan
2024 J jnl
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning.
CoRR
Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan
2024 J jnl
M
CoRR
Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo
2024 A* conf
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CVPR
Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
2024 J jnl
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR
Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
2023 J jnl
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.
CoRR
Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang
2023 J jnl
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging.
CoRR
Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian
2023 A* conf
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
ICCV
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2023 — conf
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
MICCAI (5)
Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang
2023 J jnl
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
CoRR
Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang
2023 — conf
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.
MLMI@MICCAI (1)
Tony C. W. Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, Le Lu
2023 A* conf
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
CVPR
Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
2023 J jnl
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
CoRR
Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
2023 J jnl
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer.
CoRR
Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang
2023 — conf
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
MICCAI (5)
Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang
2023 — conf
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network.
MICCAI (5)
Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi
2023 J jnl
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network.
CoRR
Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi
2023 — conf
M
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo
2023 — conf
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
IPMI
Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang
2023 J jnl
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
CoRR
Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang
2023 — conf
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with
IPMI
Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo
2023 — conf
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
MICCAI (5)
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
2023 J jnl
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists.
CoRR
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
2023 J jnl
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2022 — conf
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform.
MICCAI (3)
Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang
2022 — conf
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging.
MICCAI (3)
Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang
2021 A* conf
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
CVPR
Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang
2021 J jnl
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing.
Medical Image Anal.
Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang
2021 — conf
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.
MICCAI (5)
Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang
2020 J jnl
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
CoRR
Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang
2020 — conf
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network.
MIDL
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2020 — conf
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
MICCAI (2)
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang
2020 J jnl
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
CoRR
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang
2020 J jnl
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2020 J jnl
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans.
CoRR
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu
2020 — conf
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
MICCAI (4)
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu
2020 J jnl
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.
CoRR
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2020 J jnl
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging
Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
2019 J jnl
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.
CoRR
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2019 — ch.
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2019 J jnl
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks.
IEEE Access
Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang
2019 — conf
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks.
GLMI@MICCAI
Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
2019 — conf
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.
MICCAI (2)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2019 J jnl
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR
Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
2019 — ch.
Tumor Growth Prediction Using Convolutional Networks.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2019 — conf
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features.
SASHIMI@MICCAI
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
2019 — conf
Weakly Supervised Segmentation from Extreme Points.
LABELS/HAL-MICCAI/CuRIOUS@MICCAI
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019 J jnl
Weakly supervised segmentation from extreme points.
CoRR
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019 J jnl
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.
CoRR
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2018 J jnl
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
CoRR
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2018 J jnl
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
IEEE Trans. Medical Imaging
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2018 J jnl
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR
Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
2018 — conf
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
ISBI
Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
2018 A* conf
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
CVPR
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2018 J jnl
DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
CoRR
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
2018 J jnl
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks.
CoRR
Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang
2018 J jnl
Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy.
IEEE Trans. Medical Imaging
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
2018 J jnl
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation.
CoRR
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
2018 — conf
Self-learning to detect and segment cysts in lung CT images without manual annotation.
ISBI
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
2017 — conf
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.
ISBI
Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao
2017 J jnl
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database.
CoRR
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2017 J jnl
DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
IEEE J. Biomed. Health Informatics
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
2017 J jnl
Graph-based segmentation of abnormal nuclei in cervical cytology.
Comput. Medical Imaging Graph.
Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka
2017 — conf
Personalized Pancreatic Tumor Growth Prediction via Group Learning.
MICCAI (2)
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2017 J jnl
Personalized Pancreatic Tumor Growth Prediction via Group Learning.
CoRR
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2016 — conf
Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Zhi Chen, Andreas Wahle, Ling Zhang, Tomas Kovarnik, John J. Lopez, Milan Sonka
2016 — conf
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context.
ISBI
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
2015 J jnl
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning.
IEEE Trans. Biomed. Eng.
Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang
2015 — conf
Improved segmentation of abnormal cervical nuclei using a graph-search based approach.
Digital Pathology
Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka
2015 B conf
Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method.
Image Processing
Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka
2015 — conf
Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data.
MICCAI (2)
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
2015 J jnl
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization.
IEEE Trans. Medical Imaging
Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka
2014 — conf
A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei.
EMBC
Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Baopu Li, Yongjing Zhou, Baiying Lei, Tianfu Wang
2014 — conf
Automated segmentation of abnormal cervical cells using global and local graph cuts.
ISBI
Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Tianfu Wang, Siping Chen
2014 J jnl
Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts.
Comput. Medical Imaging Graph.
Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen, Tianfu Wang, Siping Chen
2011 — conf
Automatic measurement of early gestational sac diameters from one scan session.
Computer-Aided Diagnosis
Ling Zhang, Siping Chen, Shengli Li, Tianfu Wang