Book Chapters

Intelligent Systems in Medicine and Health: The Role of AI

Interpreting Medical Images

Zongwei Zhou, Michael B. Gotway, Jianming Liang*

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Journal Publications

Medical Image Analysis

Models Genesis

Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B. Gotway, Jianming Liang*

MedIA Best Paper Award

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Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation Efforts

Zongwei Zhou, Jae Shin, Suryakanth Gurudu, Michael B. Gotway, Jianming Liang*

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Transactions on Medical Imaging

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael Gotway, Jianming Liang*

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UNet++: Redesigning Skip Connections to Exploit Multi-Resolution Features in Image Segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang*

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Journal of Digital Imaging

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation

Zongwei Zhou, Jae Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang*

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EJNMMI Research

Comparison of Machine Learning Methods for Classifying Mediastinal Lymph Node Metastasis of Non-small Cell Lung Cancer from 18F-FDG PET/CT Images

Hongkai Wang, Zongwei Zhou, Yingci Li, Zhonghua Chen, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu*

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Conference Publications

MICCAI 2023

Learning without Forgetting for Continual Abdominal Multi-Organ and Tumor Segmentation

Yixiao Zhang, Xinyi Li, Huimiao Chen, Alan Yuille, Yaoyao Liu*, Zongwei Zhou*

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MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging

Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Zongwei Zhou

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MIDL 2023

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

Liangyu Chen, Yutong Bai,  Siyu Huang, Yongyi Lu, Bihan Wen, Alan Yuille, Zongwei Zhou*

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CVPR 2023

Label-Free Liver Tumor Segmentation

Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou*

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SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou*

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Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline

Wei Ji, Jingjing Li, Bian Cheng, Zongwei Zhou, Jiaying Zhao, Alan Yuille, Li Cheng*

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ISBI 2023

Label-Assemble: Leveraging Multiple Datasets with Partial Labels

Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan Yuille, Zongwei Zhou*

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ICLR 2023

Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks

Yixiong Chen, Alan Yuille, Zongwei Zhou*

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WACV 2023

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

Junfei Xiao, Yutong Bai, Alan Yuille, Zongwei Zhou*

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DART 2022

CateNorm: Categorical Normalization for Robust Medical Image Segmentation

Best Paper Award Honourable Mention
Junfei Xiao*, Lequan Yu, Zongwei Zhou, Yutong Bai, Lei Xing, Alan Yuille, Yuyin Zhou

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CVPR 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition

Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li*

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MICCAI 2020

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, Michael Gotway, Jianming Liang*

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ICCV 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Yoshua Bengio, Jianming Liang*

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MICCAI 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael Gotway, Jianming Liang*

Young Scientist Award
Young Scientist Publication Impact Award, Finalist

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DLMIA 2018

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang*

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CVPR 2017

Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally

Zongwei Zhou, Jae Shin, Lei Zhang, Suryakanth Gurudu, Michael Gotway, Jianming Liang*

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Preprints

Annotating 8,000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang,  Alan Yuille, Zongwei Zhou*

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CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Rank first in Medical Segmentation Decathlon (MSD) Competition
Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Yixuan Yuan, Alan Yuille, Yucheng Tang*, Zongwei Zhou*

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US Patents

Methods, Systems, and Media for Discriminating and Generating Translated Images

Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Ruibin Feng, Nima Tajbakhsh, Jianming Liang

Granted on November 2, 2021; US Patent 11,164,021

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Systems, Methods, and Apparatuses for Implementing a Multi-resolution Neural Network for Use with Imaging Intensive Applications Including Medical Imaging

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang

Granted on November 2, 2021; US Patent 11,164,067

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Invited Talks

Invited Talks

​Scaling Datasets, Annotations, and Algorithms for Medical Image Analysis

Weill Cornell Radiology July 6, 2023

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How to deal with publicly available datasets?

HIT Webinar Dec 16, 2022

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How to develop a quality organization of doctoral dissertations and thesis defenses?

Seminar at University of Missouri-Columbia Dec 8, 2022

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Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis 

CMLR at Peking University May 7, 2023
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Du’Shu Forum/The 2nd Youth Academic Forum Nov 26, 2022
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AMIA 2022 Annual Symposium Nov 7, 2022

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Medical Image Computing Seminar (MICS) Aug 3, 2021

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BMI Seminar Sep 4, 2020

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Phoenix Symposium on Data Analytics in Healthcare Aug 13, 2020

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Data, Assemble: Towards Efficient Medical Image Analysis 

MICCAI 2021 FLARE Challenge Keynote Oct 1, 2021

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The Will of Computer Vision

VALSE Student Webinar Jan 28, 2021

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Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

AI Journal club Feb 29, 2020

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Mila – Quebec Artificial Intelligence Institute Nov 11, 2019

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AI Research Club Oct 24, 2019

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MICS Webinar Sep 24, 2019

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UNet++: A Nested U-Net Architecture for Medical Image Segmentation

AI Research Club Sep 18, 2018

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How to Cut Annotation Cost in Biomedical Imaging

Centre Hospitalier de l’Université de Montréal May 22, 2018

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