Prof. Dr. Christoph Lippert

Hadya Yassin, M.Sc.

Research Associate, PhD Candidate

Room: G-2.1.25

Phone: +49-(0)331 5509-4935

E-Mail: hadya.yassin@hpi.de

Web: LinkedIn -- Researchgate -- Google Scholar


Research Interests

Deep Learning, Representation Learning, Generative Models, Latent Space Analysis, Alzheimer's Disease (AD) and Neurodegeneration, XAI (Explainable Artificial Intelligence), Imaging Genetics

Research Projects

  • DeSBi: DFG KI-FOR 5363 Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data
  • Syreal - Synthesizing realistic medical imagesA BMBF-funded collaboration of 7 partners, aiming to generate realistic medical images to to address limitations in medical AI applications..


Peer-reviewed journal articles

Chatterjee, Soumick, Mario Breitkopf, Chompunuch Sarasaen, Hadya Yassin, Georg Rose, Andreas Nürnberger, and Oliver Speck. "ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data." Computers in Biology and Medicine 143 (2022): 105321.

Hecht, Nils, Hadya Yassin, Marcus Czabanka, Bettina Föhre, Klaus Arden, Thomas Liebig, and Peter Vajkoczy. "Intraoperative computed tomography versus 3D C-arm imaging for navigated spinal instrumentation." Spine 43, no. 5 (2018): 370-377.

Peer-reviewed conference articles

Chatterjee, Soumick, Hadya Yassin, Florian Dubost, Andreas Nürnberger, and Oliver Speck. "Learning to segment brain tumours using an explainable classiêer." In: Conference: ISMRM-ESMRMB 2022, ResearchGATE - Cambridge, Mass.: ResearchGATE Corp. . - 2022, insges. 4 S.


Chatterjee, Soumick, Hadya Yassin, Florian Dubost, Andreas Nürnberger, and Oliver Speck. "Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification." arXiv preprint arXiv:2206.05148 (2022).

Teaching activities