Self-Supervised Learning for Data-Efficient Inflammatory Breast Cancer Classification on MRI

Authors

• Rohan Gajanan Chandraghatgi, Drexel UniversityFollow
• Huong Le-Petross, The University of Texas MD Anderson Cancer CenterFollow
• Mohamed Naser, The University of Texas MD Anderson Cancer CenterFollow
• Megumi Kai, The University of Texas MD Anderson Cancer CenterFollow
• Michael C. Stauder, The University of Texas MD Anderson Cancer CenterFollow
• Bora Lim, The University of Texas MD Anderson Cancer CenterFollow
• MDACC-IBC
• Clifton David Fuller, The University of Texas MD Anderson Cancer CenterFollow
• Wendy A. Woodward, The University of Texas MD Anderson Cancer CenterFollow
• Chelain Rae Goodman, The University of Texas MD Anderson Cancer CenterFollow
• Saleh Ramezani, The University of Texas MD Anderson Cancer CenterFollow

Files

Program Affiliation

Medical Students Summer in Oncology at Anderson Research (SOAR) Program

Publication Date

7-23-2026

Recommended Citation

Chandraghatgi, Rohan Gajanan; Le-Petross, Huong; Naser, Mohamed; Kai, Megumi; Stauder, Michael C.; Lim, Bora; MDACC-IBC; Fuller, Clifton David; Woodward, Wendy A.; Goodman, Chelain Rae; and Ramezani, Saleh, "Self-Supervised Learning for Data-Efficient Inflammatory Breast Cancer Classification on MRI" (2026). Students Summer in Oncology at Anderson Research (SOAR) 2026. 6.
https://openworks.mdanderson.org/soar26/6