timeline

Designed and ran an open challenge on generalizable and fair tumor segmentation and pCR prediction using breast MRI. Challenge page →

Placed Top-2 in the ODELIA multi-center breast MRI challenge, demonstrating strong cross-site generalizability of our domain-adaptive approach.

Leading the AI research workstream in RadioVal, an EU Horizon Europe project on clinical validation of AI for breast cancer treatment response.

Served on the Grant Selection & Sponsorship Committee for the MICCAI 2024 LMIC Initiative, leading selection of 50+ early-career researchers from lower-income countries.

Active member of AFRICAI. Coordinated international AI schools across Africa and South Asia, connecting researchers to global medical AI communities.

Robust tumor segmentation under domain shift without retraining — addressing a core bottleneck for real-world deployment of clinical AI across diverse acquisition conditions.

Investigated well-calibrated uncertainty signals for flagging unreliable predictions in breast MRI segmentation — a key ingredient for building clinician trust in AI.

JMI review on generative AI for imaging simulations, a Scientific Data paper on large-scale breast MRI datasets, and a book chapter on stakeholder perspectives in AI for healthcare.

Co-authored medigan, an open-source framework for medical image synthesis adopted across multiple research groups for synthetic data generation and augmentation.