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Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more
14citations -
Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning2023 European Heart Journal - Digital Health article Computer Science AI in cancer detection Open access
Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Buelow, +11 more
33citations -
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 -
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 -
Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit2020 IEEE Access article Computer Science Parallel Computing and Optimization Techniques Open access cited by 1 patent
Jure Vreča, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, +1 more
17citations -
Development and Validation of an Algorithm for Segmentation of the Prostate and its Zones from Three-dimensional Transrectal Multiparametric Ultrasound Images2025 European Urology Open Science article Computer Science Medical Image Segmentation Techniques Open access
Daniël L. van den Kroonenberg, Florian Delberghe, Auke Jager, Arnoud W. Postema, Harrie P. Beerlage, Wim Zwart, +2 more
9citations
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