Award Nomination for Bosomshield

We are pleased to announce that two research papers from Yaqeen Ali, our Ph.D. student for the BosomShield project have been accepted for oral presentation at SPIE Medical Imaging 2026 in Vancouver, Canada.

We are particularly proud that one of these papers has been selected as a finalist for SPIE Medical Imaging Robert F. Wagner All-Conference Best Student Paper Award —a remarkable recognition of scientific excellence.

The presented works include:
– Explainable and Fair Federated Learning with XGBoost for Predicting Pathological Complete Response in Breast Cancer using Multi-Center DCE-MRI Data

– Predicting Pathological Complete Response in Breast Cancer Using a Dual 3D ResNet–Transformer Architecture with Multimodal Data Fusion

These contributions highlight our commitment to advancing trustworthy AI, federated learning, and multimodal deep learning to improve the prediction of breast cancer treatment response from MRI data. Our goal is to enable more reliable, transparent, and collaborative medical AI systems that support clinicians and enhance patient care.