Email: zzhou82@jh.edu

Tel: 1-(480)738-2575

URL: www.zongweiz.com

Office: 248 Malone Hall, Johns Hopkins University, Baltimore, MD

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Overview: Zongwei Zhou is a postdoctoral researcher at Johns Hopkins University advised by Bloomberg Distinguished Professor Alan Yuille. He received his Ph.D. in Biomedical Informatics at Arizona State University advised by Dr. Jianming Liang. He has also spent time at Mayo Clinic, University of California, Berkeley, and Université de Montréal. His research focuses on developing novel methodologies to minimize the annotation efforts for computer-aided diagnosis and medical imaging. In addition to two U.S. patents, Zongwei has published over ten peer-reviewed journal/conference articles, two of which received the MICCAI Young Scientist Award and Elsevier-MedIA Best Paper Award. Two of his journal publications have been ranked among the most popular articles in IEEE TMI and the highest-cited article in EJNMMI Research, respectively. Zongwei has been elected to the Guest Editor of Sensors; Reviewer of IEEE TPAMI, MedIA, Information Fusion, IEEE TMI; and he was on the Program Committee for MICCAI in 2020-21; AAAI in 2020-22; CVPR in 2022; ICCV in 2021, MIDL in 2022. ORCiD: 0000-0002-3154-9851

Recent News​

• We are organizing ICML 2022 workshop on "Interpretable Machine Learning in Healthcare"

• One paper was accepted by CVPR 2022 Mar 2022

• Two new US patents (11,164,067 and 11,164,021) were granted Nov 2021

• I am serving as the Guest Editor of Sensor: "Advances of Deep Learning in Medical Image Interpretation"

• I gave a keynote talk in MICCAI 2021 FLARE Challenge Oct 2021

• I gave a talk in Medical Image Computing Seminar (MICS) Aug 2021

Awards and Honors

• Elsevier-MedIA Best Paper Award Oct 2020

• University Graduate Fellowship, Arizona State University Mar 2020

• MICCAI Young Scientist Award Oct 2019

• MICCAI Best Presentation Award Finalist Oct 2019

• Outstanding Graduate, Dalian University of Technology June 2016

Journal Publications

Medical Image Analysis

Models Genesis

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

MedIA Best Paper Award

> View Publication   > View Code   > View Slides

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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*

> View Publication   > View Code   > View Slides

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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*

> View Publication   > View Code

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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*

> View Publication   > View Code

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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*

> View Publication

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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*

> View Publication

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Conference Publications

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*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

MIDL 2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation

Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

MLMI 2021

Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection

Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael Gotway, Jianming Liang*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk
 

DART 2020

Parts2Whole: Self-supervised Contrastive Learning via Reconstruction

Ruibin Feng, Zongwei Zhou, Michael Gotway, Jianming Liang*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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arXiv Preprints & Abstracts

arXiv Preprints

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification

Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk
 

In-painting Radiography Images for Unsupervised Anomaly Detection

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

> View Publication   > View Code   > View Slides   > View Poster   > View Talk
 

Label-Assemble: Leveraging Multiple Datasets with Partial Labels

Mintong Kang, Yongyi Lu, Alan Yuille, Zongwei Zhou*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk
 

Frequency of Rational Fractions on [0, 1] 

Zongwei Zhou, Dawei Lu*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk

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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 and Blogs

Invited Talks

Data, Assemble: Towards Efficient Medical Image Analysis 

MICCAI 2021 FLARE Challenge Keynote Oct 1, 2021

> View Blog    > View Slides    > View Talk
 

Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis 

Medical Image Computing Seminar (MICS) Aug 3, 2021

> View Blog    > View Slides    > View Talk
 

The Will of Computer Vision

VALSE Student Webinar Jan 28, 2021

> View Blog    > View Slides    > View Talk

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Computer-aided Diagnosis and Therapy in Medical Imaging

BMI Seminar Sep 4, 2020

> View Slides

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Cost-Effective Computer-Aided Diagnosis of Lung Cancer in Chest Computed Tomography

Phoenix Symposium on Data Analytics in Healthcare Aug 13, 2020

> View Slides    > View Talk

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

AI Journal club Feb 29, 2020

> View Slides

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

Mila – Quebec Artificial Intelligence Institute Nov 11, 2019

> View Slides

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3D Transfer Learning in Medical Image Analysis

AI Research Club Oct 24, 2019

> View Blog    > View Slides    > View Talk   

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

MICS Webinar Sep 24, 2019

> View Slides    > View Talk   

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

AI Research Club Sep 18, 2018

> View Blog    > View Slides    > View Talk

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How to Cut Annotation Cost in Biomedical Imaging

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

> View Slides

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