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*
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
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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
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*
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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*
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MICCAI 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography
Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou*
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CVPR 2024
Towards Generalizable Tumor Synthesis
Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan Yuille, Chen Wei, Zongwei Zhou*
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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)
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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*
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
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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
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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Invited Talks
Scaling Datasets, Annotations, and Algorithms for Medical Image Analysis
ASU BMI Seminar | Nov 17, 2023
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Stanford MedAI | Oct 19, 2023
> View Slides
Human-Centered AI Conference | Sep 26, 2023
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Weill Cornell Radiology | July 6, 2023
How to Deal with Publicly Available Datasets?
Keynote at MICCAI Workshop (MedShapeNet) | Oct 6, 2024
HIT Webinar | Dec 16, 2022
How to Develop Quality Organization of Doctoral Dissertations and Thesis Defenses?
Seminar at University of Missouri-Columbia Dec 8, 2022
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
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AMIA 2022 Annual Symposium | Nov 7, 2022
Medical Image Computing Seminar (MICS) | Aug 3, 2021
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BMI Seminar | Sep 4, 2020
Phoenix Symposium on Data Analytics in Healthcare | Aug 13, 2020
Data, Assemble: Towards Efficient Medical Image Analysis
MICCAI 2021 FLARE Challenge Keynote | Oct 1, 2021
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
Mila – Quebec Artificial Intelligence Institute | Nov 11, 2019
AI Research Club | Oct 24, 2019
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MICS Webinar | Sep 24, 2019
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