331-02-016 / 331-02-016 ISMRM Abstract

Do We Need Massive Pretraining? A Comparative Study of Foundation and Transformer Models for Abdominal MRI Segmentation

Primary: Analysis Methods - Foundation Models

Secondary: Analysis Methods - Segmentation and Detection

331-02-016 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace

Keywords: Abdomen Imaging AI Foundation Model Vision Transformer model Artificial Intelligence in MRI Image segmentation and analysis

Accepted

Sandeep S Kaushik ¹, Seyed Iman Zare Estakhraji^2,3, Dattesh Dayanand Shanbhag^4,5, Zhijian Yang², Noel DSouza², Chitresh Bhushan^2,6,7,8, Gurunath Reddy Madhumani^4,5,9,10, Vanika Singhal⁴, Erhan Bas², Marc Lebel^2,11

¹GE HealthCare, Waukesha, United States of America

²GE HealthCare, San Ramon, United States of America

³GE HealthCare, Menlo Park, United States of America

⁴GE HealthCare, Bengaluru, India

⁵GE HealthCare, Bangalore, India

⁶Technology and Innovation Center, GE HealthCare, San Ramon, United States of America

⁷GE HealthCare., NY, United States of America

⁸GE HealthCare Technology and Innovation Center, Niskayuna, United States of America

⁹GE HealthCare, Banglaore, India

¹⁰GE HealthCare, Bengaluru, India

¹¹GE HealthCare, AB CA, United States of America

Presenting Author: Sandeep S Kaushik

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/331-02-016