PhD thesis (2020):Deep Learning Solutions for Cancer Drug Development in Digital Pathology, TU Munich (external, with Roche) · all supervised theses
Roche Diagnostics, Penzberg
Amal Lahiani did her PhD (2016–2020) as an external PhD student at the Chair for Computer Aided Medical Procedures (CAMP), TU Munich, and Roche Diagnostics in Penzberg, working with Shadi Albarqouni. Her work on digital pathology introduced virtual staining of whole slide images with unsupervised GANs — synthesising immunohistochemistry stains from H&E — together with perceptual embedding consistency for seamless tile-wise style transfer, and one-shot colour-deconvolution networks for multistain tissue segmentation. She continued at Roche working on deep learning for pathology.
Education
2020PhDTechnical University of Munich & Roche Diagnostics
2016Engineering degreeMINES ParisTech
Research Collaboration and Funded Projects 1filter all →
Industry project with Roche Diagnostics on virtual staining in digital pathology — generating immunohistochemistry stains from tissue images with unsupervised …
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