Adarsh Bhandary Panambur
Chair of Computer Science 5 (Pattern Recognition)
Research associates
Education Since 05/2020: Ph.D. Researcher at Pattern Recognition Lab and Siemens Healthineers 2016 - 2019: Student at Friedrich-Alexander-Universität Erlangen-Nürnberg, Medical Engineering (Master of Science) Master Thesis: Classification of lung nodules in CT Images using deep learning 2010 - 2014: Student at Dr. Ambedkar Institute of Technology (Bangalore, India), Medical Electronics (Bachelor of Engineering) Bachelor Thesis: Low-cost non-invasive tissue oximeter for flap monitoring Professional Employment 07/2019 – 03/2020: Working Student at Siemens Healthineers, Erlangen 11/2018 - 06/2019: Master Thesis Student at Siemens Healthineers, Erlangen 10/2017 - 10/2018: Working Student at Siemens Healthineers, Erlangen 03/2015 – 02/2016 Senior Engineer- Medical Devices at Transcaal Engineers India Pvt. Limited, Bangalore (India)
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
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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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 2025 (Daejeon, September 23, 2025 - September 27, 2025)
In: 28th International Conference of Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 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
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| Type | Title | Status |
|---|---|---|
| MA thesis | Deep Learning-Based Breast Cancer Risk Stratification Using Multiple Instance Learning on LDCT Scans | finished |
| MA thesis | Anomaly Detection of Industrial Products using Large Vision Language Models | finished |
| MA thesis | Enhancing Breast Abnormality Detection on Mammograms with Advanced Vision-Language Models | finished |
| MA thesis | Deep Learning-Based Breast Density Categorization in Asian Women | finished |
| MA thesis | Intensity Grading Using 3D Feature Classification with fMRI Images using Deep-Learning Approach | finished |
| MA thesis | Improving Breast Abnormality Analysis in Mammograms using CycleGAN | finished |
| MA thesis | Modelling of the breast during the mammography examination | finished |
| MA thesis | Unstained White Blood Cells Classification Using Deep Learning | finished |
| MA thesis | Guided Attention Mechanism for Weakly-Supervised Breast Calcification Analysis | finished |