Adarsh Bhandary Panambur, M.Sc.
Zentrum für Nationales Hochleistungsrechnen Erlangen (NHR@FAU)
Research associates
Address
Martensstraße 3
91058 Erlangen
Education
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Since May 2020 — Ph.D. Researcher
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg,
in collaboration with Siemens Healthineers- Research focus: Deep learning for advanced mammography and breast cancer analysis
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2016–2019 — M.Sc. in Medical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg- Master’s thesis: Classification of lung nodules in CT images using deep learning
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2010–2014 — B.E. in Medical Electronics
Dr. Ambedkar Institute of Technology, Bangalore, India- Bachelor’s thesis: Low-cost non-invasive tissue oximeter for flap monitoring
Professional Employment
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Since June 2026 — Research Scientist
National High Performance Computing Center, NHR@FAU -
July 2019–March 2020 — Working Student
Siemens Healthineers, Erlangen -
November 2018–June 2019 — Master’s Thesis Student
Siemens Healthineers, Erlangen -
October 2017–October 2018 — Working Student
Siemens Healthineers, Erlangen -
March 2015–February 2016 — Senior Engineer, Medical Devices
Transcaal Engineers India Pvt. Ltd., Bangalore, India
- Artificial intelligence for medical imaging
- Breast cancer detection and diagnosis
- Multimodal vision-language models
- Self-supervised and foundation models
- Clinical validation of AI systems
- High-performance computing and scalable deep learning
2020
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From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research
(Third Party Funds Single)
Project leader:
Term: May 4, 2020 - May 5, 2023
Funding source: IndustrieFrom Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research
2026
Conference Contributions
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Breast MRI Evaluation with Weakly-informed Slice-level Explanation
Bildverarbeitung für die Medizin 2026 (Lübeck, March 15, 2026 - March 17, 2026)
DOI: 10.1007/978-3-658-51100-5_2
BibTeX: Download - , , , :
Lesion-Aware AI for Mammography: Multi-Dataset Pretraining with ROI-Guided Contrastive Learning and Clinical Image Retrieval
ECR 2026
DOI: 10.26044/ecr2026/C-15780
BibTeX: Download
Unpublished Publications
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BE-WISER: Class-Aware Weak Slice-Level Supervision for Breast MRI
(2026)
DOI: 10.21203/rs.3.rs-9855612/v1
BibTeX: Download
2025
Journal Articles
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Attention-guided erasing for enhanced transfer learning in breast abnormality classification
In: International Journal of Computer Assisted Radiology and Surgery (2025)
ISSN: 1861-6410
DOI: 10.1007/s11548-024-03317-6
BibTeX: Download
Conference Contributions
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MammoBLIP: End-to-End Mammography Report Generation with Vision-Language Models and Public Multi-Institutional Datasets
IEEE Symposium on Nuclear Science (NSS/MIC) (Yokohama, November 1, 2025 - November 8, 2025)
In: 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD) 2025
DOI: 10.1109/NSS/MIC/RTSD57106.2025.11286311
BibTeX: Download - Adarsh Bhandary Panambur, Siming Bayer, Andreas Maier:
Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis
10th International Conference on Computer Vision & Image Processing (CVIP 2025) (IIT Ropar, India, December 10, 2025 - December 13, 2025)
Open Access: https://doi.org/10.48550/arXiv.2607.26043
BibTeX: Download - , , , , :
MM-DETR: Emulating the Diagnostic Clinical Workflow in Multi-view Multi-modal Mammography Mass Detection
MICCAI Deep Breath Workshop (Daejeon, South Korea, September 23, 2025 - September 27, 2025)
In: Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care 2025
DOI: 10.1007/978-3-032-05559-0_26
URL: https://link.springer.com/chapter/10.1007/978-3-032-05559-0_26
BibTeX: Download - , , , , , , , , , , :
Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and Beyond
MICCAI (Daejeon, September 23, 2025 - September 27, 2025)
In: 28th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI 2025
DOI: 10.1007/978-3-032-04978-0_20
URL: https://link.springer.com/chapter/10.1007/978-3-032-04978-0_20#chapter-info
BibTeX: Download
2024
Conference Contributions
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Enhancing downstream classification of breast abnormalities in contrast enhanced spectral mammography using a neighborhood representation loss
SPIE Medical Imaging 2024 (San Diego, February 18, 2024 - February 23, 2024)
In: Weijie Chen, Susan M. Astley (ed.): Medical Imaging 2024: Computer-Aided Diagnosis 2024
DOI: 10.1117/12.3004102
BibTeX: Download - , , , , , :
Attention-guided Erasing
Bildverarbeitung für die Medizin 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_8
BibTeX: Download
Miscellaneous
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Enhancing mammography screening sensitivity with AI-assistance: Evidence from a Vietnamese study cohort
(2024)
DOI: 10.26044/ecr2024/C-16214
BibTeX: Download
(anderer)
2023
Journal Articles
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AUCReshaping: improved sensitivity at high-specificity
In: Scientific Reports 13 (2023), Article No.: 21097
ISSN: 2045-2322
DOI: 10.1038/s41598-023-48482-x
BibTeX: Download
Conference Contributions
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UNSTAINED WHITE BLOOD CELL CLASSIFICATION USING DEEP LEARNING
XXXVIth International Symposium on Technical Innovations in Laboratory Hematology (New Orleans, LA, May 11, 2023 - May 13, 2023)
In: Abstracts of International Society for Laboratory Hematology XXXVIth International Symposium on Technical Innovations in Laboratory Hematology 2023
DOI: 10.1111/ijlh.14149
URL: https://onlinelibrary.wiley.com/doi/10.1111/ijlh.14149
BibTeX: Download
2022
Conference Contributions
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Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning
German Workshop on Medical Image Computing, 2022
DOI: 10.1007/978-3-658-36932-3_38
BibTeX: Download