Adarsh Bhandary Panambur

Erlangen National High Performance Computing Center (NHR@FAU) Lehrstuhl für Informatik 5 (Mustererkennung)

Breast MRI Evaluation with Weakly-informed Slice-level Explanation (2026) Bhandary Panambur A, Nguyen TT, Bayer S, Maier A Conference contribution MammoBLIP: End-to-End Mammography Report Generation with Vision-Language Models and Public Multi-Institutional Datasets (2025) Bhandary Panambur A, Wind S, Bayer S, Maier A Conference contribution MM-DETR: Emulating the Diagnostic Clinical Workflow in Multi-view Multi-modal Mammography Mass Detection (2025) Elbarbary K, Bhandary Panambur A, Bhat S, Bayer S, Maier A Conference contribution, Conference Contribution Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond (2025) Bhat S, Georgescu B, Bhandary Panambur A, Zinnen M, Nguyen TT, Mansoor A, Elbarbary K, et al. Conference contribution, Conference Contribution Attention-guided erasing for enhanced transfer learning in breast abnormality classification (2025) Bhandary Panambur A, Bhat S, Yu H, Madhu P, Bayer S, Maier A Journal article Enhancing downstream classification of breast abnormalities in contrast enhanced spectral mammography using a neighborhood representation loss (2024) Bhandary Panambur A, Madhu P, Bayer S, Maier A Conference contribution Attention-guided Erasing (2024) Bhandary Panambur A, Yu H, Bhat S, Madhu P, Bayer S, Maier A Conference contribution Enhancing mammography screening sensitivity with AI-assistance: Evidence from a Vietnamese study cohort (2024) Bhandary Panambur A Other publication type, text-Conference Poster AUCReshaping: improved sensitivity at high-specificity (2023) Bhat S, Mansoor A, Georgescu B, Bhandary Panambur A, Ghesu FC, Islam S, Packhäuser K, et al. Journal article UNSTAINED WHITE BLOOD CELL CLASSIFICATION USING DEEP LEARNING (2023) Yu H, Forster F, Bhandary Panambur A, Merino A, Maier A, Marquardt G Conference contribution