Microsoft at ML4H 2024
Microsoft is a proud sponsor of the AHLI Machine Learning for Health (ML4H) Symposium (opens in new tab) which aims to bring together a vibrant community of machine learning researchers, clinicians, and healthcare data experts. ML4H is a separate symposium co-located with NeurIPS that takes place on December 15-16, 2024, at the Pinnacle Hotel Harbourfront in Vancouver, Canada. Stop by our table to meet our researchers and learn more about accepted papers and research at Microsoft.
Microsoft accepted publications:
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models
Harshita Sharma; Valentina Salvatelli; Shaury srivastav; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Maximilian Ilse; Sam Bond-Taylor; Mercy Prasanna Ranjit; Fabian Falck; Fernando Pérez-García; Anton Schwaighofer; Hannah Richardson; Maria Teodora Wetscherek; Stephanie Hyland; Javier Alvarez-Valle
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
Zelalem Gero; Chandan Singh; Yiqing Xie; Sheng Zhang; Praveen Subramanian; Paul Vozila; Tristan Naumann; Jianfeng Gao; Hoifung Poon
A Study on Context Length and Efficient Transformers for Biomedical Image Analysis
Sarah Hooper; Hui Xue
RadPhi-3-Instruct: Small Language Models for Radiology
Mercy Prasanna Ranjit; Shaury srivastav; Tanuja Ganu