Overview
The upcoming workshop titled ‘Medical Imaging Meets NeurIPS’ is set to take place as a satellite event during NeurIPS 2019 in Vancouver. This workshop, established in 2017, aims to unite researchers from the medical image computing and machine learning sectors to address critical challenges and explore collaborative opportunities. Participants will have the chance to present their work through oral and poster sessions, alongside engaging talks from distinguished speakers in the field.
Background & Relevance
The field of medical imaging is currently grappling with significant challenges, including increasing data complexity and economic pressures. The ability to accurately interpret medical images is crucial, as undetected diseases can have severe consequences. Machine learning is emerging as a transformative technology in this domain, offering potential solutions for computer-aided diagnosis and therapeutic interventions. However, the pace of advancement has been slower compared to other visual recognition fields, primarily due to the unique complexities and stringent requirements of clinical applications.
Key Details
- Workshop Dates: December 13 or 14, 2019 (to be confirmed)
- Location: Vancouver, Canada
- Submission Deadline: September 4, 2019, by midnight PST
- Notification of Acceptance: October 1, 2019
- Submission Format: Extended abstracts (up to 3 pages) using the NeurIPS paper template, submitted in PDF format.
- Workshop Website: Medical Imaging Meets NeurIPS
- Submissions Link: Submit Abstracts
Eligibility & Participation
This workshop invites researchers and practitioners in the fields of medical imaging and machine learning. It is an excellent opportunity for those looking to showcase original research, including preliminary findings, and engage with peers in the community.
Submission or Application Guidelines
- Prepare an extended abstract of up to 3 pages, excluding references and acknowledgments.
- Use the NeurIPS paper template for formatting.
- Submit your abstract in PDF format via the provided submissions link before the deadline.
- Await notification of acceptance by October 1, 2019.
Additional Context / Real-World Relevance
The integration of machine learning into medical imaging is crucial for enhancing diagnostic accuracy and improving patient outcomes. As the volume of medical data continues to grow, workshops like this play a vital role in fostering collaboration and innovation among researchers, ultimately leading to advancements in clinical practices and technologies.
Conclusion
The ‘Medical Imaging Meets NeurIPS’ workshop presents a significant opportunity for researchers to contribute to the discourse on machine learning applications in medical imaging. Interested participants are encouraged to prepare and submit their abstracts, engage with leading experts, and be part of this important conversation in the AI and medical imaging community.
Category: CFP & Deadlines
Tags: medical imaging, machine learning, neurips, computer aided diagnosis, fastmri, deep learning, image computing, clinical data
