Resume

Experience

  1. Professional Events Officer

    MICCAI Student Board

    January 2024 - Present

    Organizing the Academia & Industry event.

  2. Research Assistant

    Technical University Darmstadt

    April 2022 - April 2025

    Part of Technical University Darmstadt's quality assurance team for the RACOON project, a national initiative involving 38 university hospitals. Developing and implementing quality assurance methods for CT/MRI images and segmentation masks.

  3. Student Assistant

    Technical University Darmstadt

    October 2020 - March 2022

    Assisted in quality assurance for the RACOON project, focusing on regulatory aspects and medical device standards.

  4. Business Intelligence Intern

    Deutsche Lufthansa AG

    November 2019 - April 2020

    Developed Qlik Sense applications for data visualization and analysis in support of operational decision-making.

Education

  1. Ph.D., Computer Science

    Technical University Darmstadt

    April 2022 - April 2025

    Thesis: Beyond End-to-End - Exploring Extremes in Medical Continual Learning

  2. M.Sc., Business Informatics

    Technical University Darmstadt

    October 2020 - March 2022

    Thesis: Continual Learning with Transformer Architectures

  3. B.Sc., Business Informatics

    Saarland University

    October 2017 - September 2020

    Thesis: Development of an Evaluation Tool for Time Series Analysis of Passenger Forecasts

Publications

  1. NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation

    WACV 2025

    A. Ranem, J. Kalkhof, A. Mukhopadhyay

  2. NCA-Morph: Medical Image Registration with Neural Cellular Automata

    BMVC 2024 (Oral)

    A. Ranem, J. Kalkhof, A. Mukhopadhyay

  3. Unsupervised Training of Neural Cellular Automata on Edge Devices

    MICCAI 2024

    J. Kalkhof, A. Ranem, A. Mukhopadhyay

  4. UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI Segmentation

    MIDL 2024

    A. Ranem, M. A. M. Aflal, M. Fuchs, A. Mukhopadhyay

  5. Continual atlas-based segmentation of prostate MRI

    WACV 2024

    A. Ranem, C. González, D. Pinto dos Santos, A. M. Bucher, A. E. Othman, A. Mukhopadhyay

  6. Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology

    arXiv 2023

    A. Ranem, N. Babendererde, M. Fuchs, A. Mukhopadhyay

  7. Lifelong nnU-Net: Framework for Medical Continual Learning

    Nature Scientific Reports 2023

    C. González, A. Ranem, D. Pinto dos Santos, A. Othman, A. Mukhopadhyay

  8. Quality monitoring of federated Covid-19 lesion segmentation

    Bildverarbeitung für die Medizin 2022

    C. González, C.L. Harder, A. Ranem, R. Fischbach, I.J. Kaltenborn, A. Dadras, A.M. Bucher, A. Mukhopadhyay

  9. Detecting respiratory motion artefacts for cardiovascular MRIs

    STACOM Workshop 2022

    A. Ranem, J. Kalkhof, C. Özer, A. Mukhopadhyay, I. Oksuz

  10. Continual Hippocampus Segmentation with Transformers

    CVPR 2022

    A. Ranem, C. González, A. Mukhopadhyay

Organized Events

Skills

  • Python
  • Machine Learning (Continual Learning, Segmentation)
  • Foundation models, LLM/LVM
  • Medical Imaging (CT, MRI)
  • Git, Python, LaTeX
  • Data Visualization