Ling Zhang  

Senior Staff Algorithm Engineer
@ DAMO Academy, Alibaba Group.
Email: fabiozhang0722 at gmail dot com
GoogleScholar, GitHub


Brief Bio

Currently, I'm a senior staff algorithm engineer at Alibaba DAMO Academy USA. Previously, I was a a staff scientist at PAII-Labs, a research scientist at NVIDIA, a visiting fellow at National Institutes of Health (NIH), and a postdoc at University of Iowa. I received my PhD at Zhejiang University, China in 2013.


My research focuses on developing and applying machine (deep) learning-based tools that have the potential to improve the screening, diagnosis, and treatment of diseases (mainly oncology and cadiovascular) - by analyzing medical images and clinical data.


Updates

[11/2023] One paper is accepted to Nature Medicine.

[02/2023] One paper is accepted to CVPR'2023 (highlight).

[02/2023] Two paper are accepted to IPMI'2023.

[07/2022] One paper is accepted to Radiology.

[06/2022] Two papers are accepted to MICCAI'2022 (early accepts).

[03/2022] One paper is accepted to Annals of Surgery.

[06/2021] One paper is accepted to Medical Image Analysis (MICCAI-MedIA Special Issue of Best Papers 2020).

[06/2021] One paper is accepted to MICCAI'2021.

[04/2021] One paper is accepted to Clinical Cancer Research (AACR: American Association for Cancer Research).

[02/2021] One paper is accepted to CVPR'2021.

[05/2020] Two papers are accepted to MICCAI'2020 (early accepts).

[02/2020] One paper ("BigAug") is accepted by IEEE Transactions on Medical Imaging.


Publications

2023

[Nat Med] Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Kai Cao*, Yingda Xia*, Jiawen Yao*, Xu Han*, Lukas Lambert*, Tingting Zhang*, Wei Tang*, Gang Jin, Hui Jiang, Xu Fang, Isabella Nogues, Xuezhou Li, Wenchao Guo, Yu Wang, Wei Fang, Mingyan Qiu, Yang Hou, Tomas Kovarnik, Michal Vocka, Yimei Lu, Yingli Chen, Xin Chen, Zaiyi Liu, Jian Zhou, Chuanmiao Xie, Rong Zhang, Hong Lu, Gregory D. Hager, Alan L. Yuille, Le Lu, Chengwei Shao*, Yu Shi*, Qi Zhang*, Tingbo Liang*, Ling Zhang*, Jianping Lu*. [pdf]

[CVPR] 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, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang. [pdf]

[IPMI] MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo. [pdf]

[IPMI] Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang. [pdf]

2022

[Radiology] Artificial Intelligence to Predict Lymph Node Metastasis on CT in Pancreatic Ductal Adenocarcinoma. Yun Bian, Zhilin Zheng, Xu Fang, Hui Jiang, Mengmeng Zhu, Jieyu Yu, Haiyan Zhao, Ling Zhang, Jiawen Yao, Le Lu, Jianping Lu, Chengwei Shao. [pdf]

[MICCAI] Effective Opportunistic Esophageal Cancer Screening using Noncontrast CT Imaging. Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lisha Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang. [pdf]

[MICCAI] DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. Lisha Yao, Yingda Xia, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Yanting Liang, Suyun Li, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang. [pdf]

[Ann Surg] Deep learning for fully automated prediction of overall survival in patients undergoing resection for pancreatic cancer: a retrospective multicenter study. Jiawen Yao*, Kai Cao*, Yang Hou*, Jian Zhou*, Yingda Xia, Isabella Nogues, Qike Song, Hui Jiang, Xianghua Ye, Jianping Lu, Gang Jin, Hong Lu, Chuanmiao Xie, Rong Zhang, Jing Xiao, Zaiyi Liu, Feng Gao, Yafei Qi, Xuezhou Li, Yang Zheng, Le Lu, Yu Shi*, Ling Zhang. [pdf]

2021

[Med Image Anal] 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, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang. [pdf] MICCAI-MedIA Special Issue of Best Papers 2020

[MICCAI] Effective large-scale screening of multi-type pancreatic cancers on non-contrast CT scans via anatomy-aware transformers. Yingda Xia, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan Yuille, Kai Cao, Ling Zhang. [pdf]

[Clin Cancer Res] Deep learning for fully-automated prediction of overall survival in patients with oropharyngeal cancer using FDG PET imaging: an international retrospective study. Nai-Ming Cheng*, Jiawen Yao*, Jinzheng Cai, Xianghua Ye, Shilin Zhao, Kui Zhao, Wenlan Zhou, Isabella Nogues, Yuankai Huo, Chun-Ta Liao, Hung-Ming Wang, Chien-Yu Lin, Li-Yu Lee, Jing Xiao, Le Lu, Ling Zhang*, Tzu-Chen Yen*. [pdf] [code]

[CVPR] 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, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang. [pdf]

2020

[Am J Roentgenol] Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model. Thomas H Sanford, Ling Zhang, Stephanie A Harmon, Jonathan Sackett, Dong Yang, Holger Roth, Ziyue Xu, Deepak Kesani, Sherif Mehralivand, Ronaldo H Baroni, Tristan Barrett, Rossano Girometti, Aytekin Oto, Andrei S Purysko, Sheng Xu, Peter A Pinto, Daguang Xu, Bradford J Wood, Peter L Choyke, Baris Turkbey.

[Book - Artificial Intelligence in Medicine: Technical Basis and Clinical Applications] Chapter 14 - Artificial intelligence in radiology. Dakai Jin, Adam P. Harrison, Ling Zhang, Ke Yan, Yirui Wang, Jinzheng Cai, Shun Miao, Le Lu. [pdf]

[Book - Intravascular Ultrasound: From Acquisition to Advanced Quantitative Analysis 1st Edition] Chapter 8 - Quantitative Assessment and Prediction of Coronary Plaque Development Using Serial Intravascular Ultrasound and Virtual Histology. Andreas Wahle, Ling Zhang, Zhi Chen, Honghai Zhang, John J. Lopez, Tomas Kovarnik, Milan Sonka. [pdf]

[MICCAI] DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang. [pdf]

[MICCAI] Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu. [pdf]

[TMI] Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie Harmon, Baris Turkbey, Bradford J Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu. [pdf]

[Book - Deep Learners and Deep Learner Descriptors for Medical Applications] Chapter - Ensemble of Handcrafted and Deep Learned Features for Cervical Cell Classification. Loris Nanni, Stefano Ghidoni, Sheryl Brahnam, Shaoxiong Liu, Ling Zhang.

2019

[TMI] Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. Ling Zhang, Le Lu, Xiaosong Wang, Robert M Zhu, Mohammadhadi Bagheri, Ronald M Summers, Jianhua Yao. [pdf]

[IEEE Access] Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang. [pdf]

[MICCAI Workshop] Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu. [pdf]

[MICCAI Workshop] Tunable CT lung nodule synthesis conditioned on background image and semantic features. Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu. [pdf]

[MICCAI] Searching learning strategy with reinforcement learning for 3d medical image segmentation. Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu. [pdf]

[MICCAI Workshop] Weakly Supervised Segmentation from Extreme Points. Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu. [pdf]

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

[Informatics in Medicine Unlocked] Automated classification of benign and malignant cells from lung cytological images using deep convolutional neural network. Atsushi Teramoto, Ayumi Yamada, Yuka Kiriyama, Tetsuya Tsukamoto, Ke Yan, Ling Zhang, Kazuyoshi Imaizumi, Kuniaki Saito, Hiroshi Fujita. [pdf]

2018

[TMI] Convolutional Invasion and Expansion Networks for Tumor Growth Prediction. Ling Zhang, Le Lu, Ronald Summers, Electron Kebebew, Jianhua Yao. [pdf]

[TMI] Predicting Locations of High-Risk Plaques in Coronary Arteries in Patients Receiving Statin Therapy. Ling Zhang, Andreas Wahle, Zhi Chen, John J Lopez, Tomas Kovarnik, Milan Sonka. [pdf]

[ISBI] Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans. Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M Summers, Milan Sonka, Jianhua Yao. [pdf]

[ISBI] Self-learning to detect and segment cysts in lung ct images without manual annotation. Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M Summers, Joel Moss, Jianhua Yao. [pdf]

[CVPR] Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database. Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P Harrison, Mohammadhadi Bagheri, Ronald M Summers. [pdf]

2017

[JBHI] Deeppap: Deep convolutional networks for cervical cell classification. Ling Zhang, Le Lu, Isabella Nogues, Ronald M Summers, Shaoxiong Liu, Jianhua Yao. [pdf]

[MICCAI] Personalized Pancreatic Tumor Growth Prediction via Group Learning. Ling Zhang, Le Lu, Ronald M Summers, Electron Kebebew, Jianhua Yao. [pdf]

[ISBI] Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei. Ling Zhang, Milan Sonka, Le Lu, Ronald M Summers, Jianhua Yao. [pdf]

[Comput Med Imaging Graph] Graph-based segmentation of abnormal nuclei in cervical cytology. Ling Zhang, Hui Kong, Shaoxiong Liu, Tianfu Wang, Siping Chen, Milan Sonka. [pdf]

[Rev Esp Cardiol] Pathologic intimal thickening plaque phenotype: Not as innocent as previously thought. a serial 3D intravascular ultrasound virtual histology study. Tomas Kovarnik, Zhi Chen, Andreas Wahle, Ling Zhang, Hana Skalicka, Ales Kral, John J Lopez, Jan Horak, Milan Sonka, Ales Linhart.

2016

[Am J Card] Evaluation of variable thin-cap fibroatheroma definitions and association of virtual histology-intravascular ultrasound findings with cavity rupture size. Taishi Hirai, Zhi Chen, Ling Zhang, Shamsa Baaj, Tomas Kovarnik, Katie Porcaro, John Kaminski, Stephen Hawn, Anoop Agrawal, Nader Makki, Richard Downe, Andreas Wahle, Milan Sonka, John J Lopez.

[ISBI] Location-specific prediction of vulnerable plaque using IVUS, virtual histology, and spatial context. Ling Zhang, Andreas Wahle, Zhi Chen, John Lopez, Tomas Kovarnik, Milan Sonka.

[Folia Biol (Praha)] Cystatin C is associated with the extent and characteristics of coronary atherosclerosis in patients with preserved renal function. A Král, T Kovárník, Z Vaníčková, H Skalická, J Horák, K Bayerová, Z Chen, A Wahle, L Zhang, K Kopřiva, H Benáková, M Sonka, A Linhart. [pdf]

[Kardiologia polska] Non-invasive endothelial function assessment using digital reactive hyperaemia correlates with three-dimensional intravascular ultrasound and virtual histology-derived plaque volume and plaque phenotype. Tomas Kovarnik, Stepan Jerabek, Zhi Chen, Andreas Wahle, Ling Zhang, Gabriela Dostalova, Hana Skalicka, Ales Kral, Jan Horak, Milan Sonka, Ales Linhart. [pdf]

2015

[TMI] Simultaneous registration of location and orientation in intravascular ultrasound pullbacks pairs via 3D graph-based optimization. Ling Zhang, Andreas Wahle, Zhi Chen, Li Zhang, Richard W Downe, Tomas Kovarnik, Milan Sonka. [pdf]

[MICCAI] Prospective prediction of thin-cap fibroatheromas from baseline virtual histology intravascular ultrasound data. Ling Zhang, Andreas Wahle, Zhi Chen, John Lopez, Tomas Kovarnik, Milan Sonka. [pdf]

[TBME] Accurate segmentation of cervical cytoplasm and nuclei based on multiscale convolutional network and graph partitioning. Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Baiying Lei, Tianfu Wang.

2014

[Comput Med Imaging Graph] Segmentation of cytoplasm and nuclei of abnormal cells in cervical cytology using global and local graph cuts. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Zhi Chen, Tianfu Wang, Siping Chen. [pdf]

[Cytometry Part A] Automation‐assisted cervical cancer screening in manual liquid‐based cytology with hematoxylin and eosin staining. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Xinmin Fan, Tianfu Wang, Siping Chen. [pdf]

[Ultrasonic imaging] Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts. Zhuhuang Zhou, Weiwei Wu, Shuicai Wu, Po-Hsiang Tsui, Chung-Chih Lin, Ling Zhang, Tianfu Wang.

[ISBI] Automated segmentation of abnormal cervical cells using global and local graph cuts. Ling Zhang, Hui Kong, Chien Ting Chin, Shaoxiong Liu, Tianfu Wang, Siping Chen.

2012

[Med Phys] Intelligent scanning: Automated standard plane selection and biometric measurement of early gestational sac in routine ultrasound examination. Ling Zhang, Siping Chen, Chien Ting Chin, Tianfu Wang, Shengli Li.

Services

Journal Reviewer


Conference Reviewer