Note: The workshop, collocated at ACL 2024, focuses on Large Language Models (LLMs) and Generalizability for Social Media NLP. Submission site opens on Jan 15, 2024. Camera-ready papers are due by July 1, 2024. More info here.
Note: The workshop, at ICLR 2024, invites papers on learning from time series in healthcare. Key themes include Behavioral Health and Foundation Models. Submissions up to 4 pages long (excluding references), presented as posters. No formal proceedings, but accepted papers will be public. Double-blind review process. More info here.
Note: The workshop, at NAACL 2024, focuses on advancements in Clinical Natural Language Processing. Includes a shared task with specific dates for registration, dataset release, submission deadlines, and notification of results. More info here.
Note: MLHC 2024 invites submissions for both a research track and a clinical abstract track. The conference focuses on leveraging machine learning for healthcare insights, with a submission deadline on April 9, 2024. More info here.
Note: CHIL 2024 encourages cross-disciplinary collaboration among clinicians, researchers in machine learning, health policy, causality, fairness, and related areas. More info here.
Note: The workshop focuses on the application and challenges of foundation models in medical imaging. It aims to bridge the gap between cutting-edge AI technologies and clinical implementation in medical diagnostics and patient care. More info here.
Note: MLGenX aims to bridge AI and functional genomics, focusing on target identification. Topics include foundation models for genomics, biological sequence design, and interpretability. Accepted papers will be featured on the workshop website, aiming for interdisciplinary research advancement. More info here.
Note: Submitted papers should describe innovative machine learning research focused on relevant problems in healthcare, biomedicine, and public health.. More info here.
Note: CHIL 2023 invites submissions focussed on significant problems affecting health. Specifically, authors are invited to submit 8-10 page papers (with unlimited pages for references). More info here.
Note: 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.