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Zongwei Zhou
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Zongwei Zhou, PhD

Assistant Research Scientist
Department of Computer Science
Johns Hopkins University, Baltimore, MD

Email: zzhou82@jh.edu

Tel: 1-(480)738-2575

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

Book Chapters

Intelligent Systems in Medicine and Health: The Role of AI

Interpreting Medical Images

Zongwei Zhou, Michael B. Gotway, Jianming Liang*

> View Chapter

Journal Publications (Selective)

Transactions on Pattern Analysis and Machine Intelligence

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images

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

> View Publication   > View Code 

Medical Image Analysis

AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking

Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, ..., Alan Yuille, Zongwei Zhou*

> View Publication   > View Code   > View Slides

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography

Jie Liu, Yixiao Zhang, Kang Wang, Mehmet Can Yavuz, Xiaoxi Chen, Yixuan Yuan, Haoliang Li, Yang Yang, Alan Yuille, Yucheng Tang*, Zongwei Zhou*

> View Publication   > View Code   > View Slides

Models Genesis

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

MedIA Best Paper Award

> View Publication   > View Code   > View Slides

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

 

Transactions on Medical Imaging

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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Conference Publications (Selective)

NeurIPS 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, ..., Alan L. Yuille, Zongwei Zhou*

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

MICCAI 2024

From Pixel to Cancer: Cellular Automata in Computed Tomography

Yuxiang Lai, Xiaoxi Chen, Angtian Wang,  Alan Yuille, Zongwei Zhou*

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

CVPR 2024

Towards Generalizable Tumor Synthesis

Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong,  Alan Yuille, Chen Wei, Zongwei Zhou*

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

ICLR 2024

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?

Wenxuan Li,  Alan Yuille, Zongwei Zhou*

> View Publication   > View Code   > View Slides   > View Poster   > View Talk   > Get Dataset   > Join Groups

NeurIPS 2023

AbdomenAtlas-8K: 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*

JHU WSE News

> View Publication   > View Code   > View Slides   > View Poster   > View Talk   > Get Dataset
 

ICCV 2023

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

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

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

CVPR 2023

Label-Free Liver Tumor Segmentation

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

JHU News

> View Publication   > View Code   > View Slides   > View Poster   > View Talk   > View Alan's Talk
 

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
MICCAI News

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

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

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

Invited Talks

Scaling Datasets, Annotations, and Algorithms for Medical Image Analysis

ASU BMI Seminar | Nov 17, 2023
> View Slides
Stanford MedAI | Oct 19, 2023
> View Slides
Human-Centered AI Conference | Sep 26, 2023
> View Slides  
Weill Cornell Radiology | July 6, 2023

> View Slides    > View Talk
 

How to Deal with Publicly Available Datasets?

Keynote at MICCAI Workshop (MedShapeNet) | Oct 6, 2024

> View Slides   > View Talk

HIT Webinar | Dec 16, 2022

> View Slides    > View Talk

How to Develop Quality Organization of Doctoral Dissertations and Thesis Defenses?

Seminar at University of Missouri-Columbia Dec 8, 2022

> View Slides
 

Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis 

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

> View Slides    > View Talk

Medical Image Computing Seminar (MICS) | Aug 3, 2021

> View Blog    > View Slides    > View Talk

BMI Seminar | Sep 4, 2020

> View Slides

Phoenix Symposium on Data Analytics in Healthcare | Aug 13, 2020

> View Slides    > View Talk

Data, Assemble: Towards Efficient Medical Image Analysis 

MICCAI 2021 FLARE Challenge Keynote | Oct 1, 2021

> View Slides
 

The Will of Computer Vision

VALSE Student Webinar | Jan 28, 2021

> View Blog    > View Slides    > View Talk

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

AI Journal Club | Feb 29, 2020

> View Slides

Mila – Quebec Artificial Intelligence Institute | Nov 11, 2019

> View Slides

AI Research Club | Oct 24, 2019

> View Blog    > View Slides    > View Talk

MICS Webinar | Sep 24, 2019

> View Slides

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

AI Research Club | Sep 18, 2018

> View Blog    > View Slides    > View Talk

How to Cut Annotation Cost in Biomedical Imaging

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

> View Slides

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