Adarsh Bhandary Panambur, M.Sc.
Adarsh Bhandary Panambur, M. Sc.
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
Germany
- Phone number: +4991318527874
- Fax number: +4991318527270
- Email: adarsh.bhandary.panambur@fau.de
- Website: https://lme.tf.fau.de/person/panambur/
Academic CV
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)
Projects
2020
-
From Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research
(Third Party Funds Single)
Term: May 4, 2020 - May 5, 2023
Funding source: IndustrieFrom Micro To Macro: Multiscale Multimodal Data Analysis for Breast Cancer Research
Publications
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
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
- :
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
- , , , , , :
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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Thesis
| Type | Title | Status |
|---|---|---|
| MA thesis | Deep Learning-Based Breast Cancer Risk Stratification Using Multiple Instance Learning on LDCT Scans | running |
| MA thesis | Anomaly Detection of Industrial Products using Large Vision Language Models | running |
| MA thesis | Enhancing Breast Abnormality Detection on Mammograms with Advanced Vision-Language Models | running |
| 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 |