Deep learning for breast imaging

Adarsh Bhandary Panambur

Deep Learning Expert specializing in medical imaging, mammography, breast MRI, and multimodal vision-language models.

FAU Pattern Recognition Lab
Siemens Healthineers
West China Hospital
4th Place MICCAI ODELIA Challenge 2025
Adarsh Bhandary Panambur

PhD Researcher, FAU Pattern Recognition Lab

Erlangen, Germany

Selected Publications

Recent papers, preprints, and clinical studies

Each publication now has a dedicated mini-blog style page with summary fields, links, and room for verified notes.

Full archive

Experience

Research shaped by clinical and engineering settings

Academic research at FAU with medical imaging collaborations across Siemens Healthineers and hospital partners.

PhD Researcher

@ Pattern Recognition Lab, FAU
May 2020 - Present Erlangen, Germany
  • Developed self-supervised learning methods improving classification and lesion detection in mammography.
  • Built a multi-country mammography dataset repository of approximately 100,000 images for large-scale experimentation.
  • Designed and trained multimodal vision-language foundation models for breast imaging analysis.
  • Ranked 4th in the MICCAI ODELIA Challenge 2025 for breast MRI malignancy classification.
  • Designed reproducible MLOps pipelines using Docker and SLURM for large-scale deep learning.

Guest Researcher

@ West China Hospital, Sichuan University
July 2024 - September 2024 Chengdu, China
  • Conducted clinical validation of a Siemens Healthineers breast MRI AI prototype.
  • Initiated research projects aimed at improving clinical screening workflows.
  • Collaborated with radiologists to streamline and improve medical image annotation quality.

Doctoral Researcher

@ Siemens Healthineers
May 2020 - March 2024 Erlangen, Germany
  • Performed clinical validation of mammography AI algorithms in international collaborations (Vietnam cohort).
  • Contributed to workflow optimization under regulatory and clinical constraints.
  • Developed deep learning methods for categorizing positioning artifacts in mammography.

Working Student and Master's Thesis

@ Siemens Healthineers
October 2017 - March 2020 Erlangen, Germany
  • Developed MATLAB prototypes for compliance-based task prioritization in clinical workflows.
  • Evaluated IoT technologies for healthcare workflow optimization.
  • Co-invented a secure method for unlocking medical devices.

Senior Engineer (Medical Devices)

@ Transcaal Engineers India Pvt. Ltd.
March 2015 - February 2016 Bangalore, India
  • Generated approximately 25% annual company revenue through QA services across five Indian states.
  • Led and mentored a biomedical engineering team.

Calibration Engineer

@ Transcaal Engineers India Pvt. Ltd.
September 2014 - February 2015 Bangalore, India
  • Performed preventive maintenance and compliance testing of medical devices using Fluke biomedical equipment.

Technical Stack

Deep learning, imaging, and scalable experimentation

Programming

Python MATLAB C++ LaTeX

Machine Learning & AI

Self-supervised Learning Multimodal Learning Vision-Language Models LVLMs Generative AI Diffusion Models Transformers LLMs

Frameworks

PyTorch TensorFlow Keras Hugging Face nnU-Net OpenCV MMDetection MONAI

MLOps & Systems

Docker Git SLURM Axolotl DeepSpeed SGLang WandB Linux

Data Science

NumPy pandas scikit-learn SciPy XGBoost SimpleITK Albumentations

Modalities

Mammography Breast MRI Chest X-ray Low-dose CT ECG

Languages

English (C2) German (B1) Hindi Konkani Kannada

Education

Academic training

PhD Research Student - AI / Medical Imaging

Friedrich-Alexander-Universitat Erlangen-Nurnberg

May 2020 - Present

M.Sc. Medical Data Engineering

Friedrich-Alexander-Universitat Erlangen-Nurnberg

April 2016 - June 2019

B.E. Medical Electronics

Dr. Ambedkar Institute of Technology, Bangalore

August 2010 - June 2014

Contact

Let's Connect

For research collaborations, academic opportunities, or medical AI discussions, reach out by email or LinkedIn.