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Mert R. Sabuncu

2 papers indexed

arxivcs.CVcs.LG2026-07-10

ShapKO: Shapley-Adaptive Modality Knockout for Robust Multimodal Learning

Nusrat Binta Nizam, Fengbei Liu, Sunwoo Kwak, Minh Nguyen, Ruining Deng, Mert R. Sabuncu

Multimodal medical models often degrade when inputs are missing, a common scenario in real-world clinical workflows. Separately, even when all modalities are present, modality dominance is observed during training, where optimization over-relies on a highly predictive modality an…

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crossrefAI2025-08-25Cited by 4

Predicting Clinical Outcomes and Symptom Relief in Uterine Fibroid Embolization Using Machine Learning on MRI Features

Sepehr Janghorbani, Alexandre Caprio, Laya Sam, Benjamin C. Lee, Mert R. Sabuncu, Nicole A. Lamparello, et al.

Uterine fibroids are one of the leading health concerns for women worldwide, affecting up to 80% of women by the age of 50. While recent advancements have improved the diagnosis and treatment of fibroids, the current standard of care still faces important limitations due to the n…

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