EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation. - Yu Zhou; Justin Sonneck; Sweta Banerjee; Stefanie Dörr; Anika Grüneboom; Kristina Lorenz; Jianxu Chen 001 (CoRR, 2023)

Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. - Sweta Banerjee; Christof A. Bertram; Jonas Ammeling; Viktoria Weiss; Thomas Conrad; Robert Klopfleisch; Christopher C. Kaltenecker; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). - Christof A. Bertram; Viktoria Weiss; Taryn A. Donovan; Sweta Banerjee; Thomas Conrad; Jonas Ammeling; Robert Klopfleisch; Christopher C. Kaltenecker; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. - Sweta Banerjee; Viktoria Weiss; Taryn A. Donovan; Rutger A. Fick; Thomas Conrad; Jonas Ammeling; Nils Porsche; Robert Klopfleisch; Christopher C. Kaltenecker; Katharina Breininger; Marc Aubreville; Christof A. Bertram (CoRR, 2025)