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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 -
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology2023 npj Precision Oncology article Computer Science AI in cancer detection Open access cited by 1 patent
Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Jan Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, +5 more
88citations -
Self-supervised deep learning for pan-cancer mutation prediction from histopathology2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Jan Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, +5 more
10citations -
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Céline N. Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, Jakob Nikolas Kather
1citations -
Benchmarking artificial intelligence methods for end-to-end computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, +17 more
15citations -
Swarm learning for decentralized artificial intelligence in cancer histopathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more
22citations -
109P The added clinical value of AI-assisted histopathology analyses in ICI response prediction in patients with advanced melanoma2025 ESMO Real World Data and Digital Oncology article Computer Science AI in cancer detection Open access
Mark Schuiveling, I. van Duin, Laurens S. ter Maat, Franchette W.P.J. van den Berkmortel, F. Burgers, M. J. Boers‐Sonderen, +13 more
0citations -
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
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 -
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine Therese Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, +5 more
26citations