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Zongwei Zhou
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Zongwei Zhou, PhD

Postdoctoral Researcher
Department of Computer Science
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

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

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

Conference Publications (Selective)

MICCAI 2024

From Pixel to Cancer: Cellular Automata in Computed Tomography

Qi Chen, 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   > 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
 

MICCAI 2023

Continual Learning for Abdominal Multi-Organ and Tumor Segmentation

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

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

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*

> 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
 

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection

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

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

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*

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

WACV 2023

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

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

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

Invited Talks

Scaling Datasets, Annotations, and Algorithms for Medical Image Analysis

ASU BMI Seminar Nov 17, 2023
> View Blog    > View Slides    > View Talk
Stanford MedAI Oct 19, 2023
> View Blog    > View Slides    > View Talk

Human-Centered AI Conference Sep 26, 2023
> View Blog    > View Slides    > View Talk
  
Weill Cornell Radiology
 July 6, 2023

> View Blog    > View Slides    > View Talk
 

How to deal with publicly available datasets?

HIT Webinar Dec 16, 2022

> View Blog    > View Slides    > View Talk

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

Seminar at University of Missouri-Columbia Dec 8, 2022

> View Blog    > View Slides    > View Talk
 

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 Blog    > 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 Blog    > View Slides    > View Talk
 

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    > View Talk   

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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