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Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?2021 European Urology Focus article Computer Science AI in cancer detection Open access cited by 1 patent
Chiara Maria Lavinia Loeffler, Nadina Ortiz Bruechle, Max Jung, Lancelot Seillier, Michael Rose, Narmin Ghaffari Laleh, +5 more
90citations -
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Amelie Echle, Narmin Ghaffari Laleh, Philip Quirke, Heike Irmgard Grabsch, Hannah Sophie Muti, Oliver Lester Saldanha, +32 more
112citations -
Automated segmentation of the sacro-iliac joints, posterior spinal joints and discovertebral units on low-dose computed tomography for Na[18F]F PET lesion detection in spondyloarthritis patients
W.R.P. van der Heijden, Floris H. P. van Velden, Robert Hemke, Tom C. Doorschodt, Ronald Boellaard, Conny J. van der Laken, +1 more
5citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
2022-RA-648-ESGO Interpretable deep learning provides clues for prognostic refinement of the molecular endometrial cancer classification2022 International Journal of Gynecological Cancer article Computer Science AI in cancer detection Open access
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Jan J. Jobsen, Ina Maria Jurgenliemk-Schulz, +14 more
0citations -
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides2024 Nature Communications article Computer Science AI in cancer detection Open access cited by 1 patent
Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R. Kolbinger, Katherine Jane Hewitt, +11 more
106citations -
Deep learning detects actionable molecular and clinical features directly from head/neck squamous cell carcinoma histopathology slides2020 International Journal of Radiation Oncology*Biology*Physics article Computer Science AI in cancer detection
James M. Dolezal, Jakob Nikolas Kather, Sara E. Kochanny, Jefree J. Schulte, B. Munyampirwa, Suzanne N. Morin, +4 more
1citations -
Deep learning in cancer pathology: a new generation of clinical biomarkers2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents
Amelie Echle, Niklas Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander T. Pearson, Jakob Nikolas Kather
697citations