Ling Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 54

Top Topics

Image Generation

Top Venues

IEEE Trans. Medical Imaging

Publications

Guangyu Guo, Jiawen Yao, Yingda Xia, Tony C. W. Mok, Zhilin Zheng, Junwei Han, Le Lu, Dingwen Zhang, Jian Zhou, Ling Zhang
Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. CoRR (2024)
Jingyang Lin, Yingda Xia, Jianpeng Zhang, Ke Yan, Le Lu, Jiebo Luo, Ling Zhang
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios. CoRR (2024)
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi
Improved Esophageal Varices Assessment from Non-Contrast CT Scans. CoRR (2024)
Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. CoRR (2024)
Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo
Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR (2024)
Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models. CoRR (2024)
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
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR (2024)
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
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. CoRR (2024)
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
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR (2023)
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
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. CoRR (2023)
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR (2023)
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
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. CoRR (2023)
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
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR (2023)
Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans. CoRR (2023)
Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. IPMI (2023)
Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo
Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) (2023)
Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo
F-FDG PET. IPMI (2023)
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
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) (2022)
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
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. MICCAI (3) (2022)
Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) (2021)
Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang
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. 73 (2021)
Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. MICCAI (4) (2020)
Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. MICCAI (2) (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR (2020)
Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39 (4) (2020)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39 (7) (2020)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly supervised segmentation from extreme points. CoRR (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI (2019)
Ling Zhang, Le Lu, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. CoRR (2019)
Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang
Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks. IEEE Access 7 (2019)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR (2019)
Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI (2019)
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. CoRR (2018)
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
Self-learning to detect and segment cysts in lung CT images without manual annotation. ISBI (2018)
Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. CoRR (2018)
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. IEEE Trans. Medical Imaging 37 (2) (2018)
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation. CoRR (2018)
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR (2018)
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. CoRR (2018)
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy. IEEE Trans. Medical Imaging 37 (1) (2018)
Zhihui Quo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. ISBI (2018)
Ling Zhang, Milan Sonka, Le Lu, Ronald M. Summers, Jianhua Yao
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. ISBI (2017)
Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka
Graph-based segmentation of abnormal nuclei in cervical cytology. Comput. Medical Imaging Graph. 56 (2017)
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Personalized Pancreatic Tumor Growth Prediction via Group Learning. MICCAI (2) (2017)
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR (2017)
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao
DeepPap: Deep Convolutional Networks for Cervical Cell Classification. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Personalized Pancreatic Tumor Growth Prediction via Group Learning. CoRR (2017)
Zhi Chen, Andreas Wahle, Ling Zhang, Tomas Kovarnik, John J. Lopez, Milan Sonka
Comprehensive serial study of dynamic remodeling of atherosclerotic coronary arteries using IVUS. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context. ISBI (2016)
Ling Zhang, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka
Improved segmentation of abnormal cervical nuclei using a graph-search based approach. Medical Imaging: Digital Pathology (2015)
Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka
Joint registration of location and orientation of intravascular ultrasound pullbacks using a 3D graph based method. Medical Imaging: Image Processing (2015)
Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W. Downe, Tomas Kovarnik, Milan Sonka
Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization. IEEE Trans. Medical Imaging 34 (12) (2015)
Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning. IEEE Trans. Biomed. Eng. 62 (10) (2015)
Ling Zhang, Andreas Wahle, Zhi Chen, John J. Lopez, Tomas Kovarnik, Milan Sonka
Prospective Prediction of Thin-Cap Fibroatheromas from Baseline Virtual Histology Intravascular Ultrasound Data. MICCAI (2) (2015)
Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen, Tianfu Wang, Siping Chen
Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts. Comput. Medical Imaging Graph. 38 (5) (2014)