Regina Beets-Tan

3 papers · 2024–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

MICCAI (2) MIDL (1)

Top co-authors

Xin Wang (2) Chunyao Lu (2) Tianyu Zhang (2) Yuan Gao (2) Tao Tan (2) Xinglong Liang (2) Luyi Han (2) Ritse Mann (2) Jonas Teuwen (2) Eric Marcus (1)

Research topics

Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Learning Types (1)

Keywords

privacy-preserving machine learning (1) federated learning (1) medical image classification (1) data heterogeneity (1) ordinal classification (1)

Papers

Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis MIDL 2025 Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model MICCAI 2024 Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms MICCAI 2024