MEDICAL IMAGING MEETS NeurIPS
An official NeurIPS Workshop - 2 December 2022 - In Person (with hybrid provided)
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MedNeurIPS will be returning in 2023! The New link is here: https://sites.google.com/view/med-neurips2023/home
Consider joining us for a day at the intersection of Machine Learning and Medical Imaging.
Dates
Submissions: Thursday, Sep 29, 2022 Monday, Oct 3, 2022
Notifications: Thursday, Oct 20, 2022 Tuesday, Nov 1, 2022
Paper Final Version: Monday, Nov 10, 2022
Poster Submissios: Friday, Nov 18, 2022
Workshop Date: Friday, Dec 2, 2022
Call for Abstracts
We invite submissions of extended abstracts for oral and poster presentation during the workshop. Submitting an abstract is an ideal way of engaging with the workshop and to showcase research in the area of machine learning for medical imaging. Submitted work can be of preliminary nature and we also invite perspectives and position papers to generate discussions about recent trends and major challenges. Please check the submissions page for more details.
Overview
'Medical Imaging meets NeurIPS' is a satellite workshop established in 2017. The workshop aims to bring researchers together from the medical image computing and machine learning communities. The objective is to discuss the major challenges in the field and opportunities for joining forces. This year the workshop will feature online oral and poster sessions with an emphasis on audience interactions. In addition, there will be a series of high-profile invited speakers from industry, academia, engineering and medical sciences giving an overview of recent advances, challenges, latest technology and efforts for sharing clinical data.
Motivation
Medical imaging is facing a major crisis with an ever increasing complexity and volume of data and immense economic pressure. The interpretation of medical images pushes human abilities to the limit with the risk that critical patterns of disease go undetected. Machine learning has emerged as a key technology for developing novel tools in computer aided diagnosis, therapy and intervention. Still, progress is slow compared to other fields of visual recognition which is mainly due to the domain complexity and constraints in clinical applications which require most robust, accurate, and reliable solutions. The workshop aims to raise the awareness of the unmet needs in machine learning for successful applications in medical imaging.
Registration
Registration for the workshop can be done via the NeurIPS conference website.
Any questions, please contact email: qidou@cuhk.edu.hk