Computer Vision for Automated Medical Diagnosis

ICCV 2023 Workshop

Location: Paris, France
Time: TBD, October 2-3, 2023


Over the past few decades, medical imaging techniques, such as chest X-rays, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, and ultrasound, and have been used for the early detection, diagnosis, prognosis, and treatment of diseases. Various medical imaging analysis problems, such as medical image registration, detection of anatomical and cellular structures, tissue segmentation, have achieved state-of-the-art performances by applying computer vision techniques. However, how to securely and reliably deploy these technologies for facilitating further disease diagnosis and treatment planning remains an open question.

In this workshop, we aim to bring together researchers in computer vision, machine learning, healthcare, medicine, and clinical fields to facilitate discussions including related challenges, possible solutions and future directions. We hope that the proposed workshop is fruitful in offering a step toward building autonomous clinical decision systems with a higher-level understanding of medical computer vision.

Important Dates (Tentative)

Paper submission deadline 7/28/2023
Paper acceptance notification 8/11/2023
Camera-ready papers due 8/25/2023
ICCV CVAMD workshop 10/6/2023

Invited Speakers

Coming soon.


Yuzhe Yang
Gregory Holste
UT Austin
Fuying Wang
University of Hong Kong
Lequan Yu
University of Hong Kong
Hao Chen
Tingying Peng
Helmholtz Munich
Xiaolei Huang
Penn State University
Yifan Peng
Weill Cornell Medicine
Atlas Wang
UT Austin
Yuyin Zhou
UC Santa Cruz

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