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Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Sim2Real Deep Reinforcement Learning of Compliance-based Robotic Assembly Operations2022 International Conference on Methods and Models in Automation and Robotics conference-paper Computer Science Reinforcement Learning in Robotics
Oliver Petrović, Lukas Schäper, Simon Roggendorf, Simon Storms, Christian Brecher
10citations -
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study
Hannah Sophie Muti, Lara Rosaline Heij, Gisela Keller, Meike Kohlruss, Rupert Langer, Bastian Dislich, +29 more
127citations -
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 -
Deep learning segmentation model for quantification of infarct size in pigs with myocardial ischemia/reperfusion2024 Basic Research in Cardiology article Computer Science Medical Image Segmentation Techniques Open access
Felix Braczko, Andreas Skyschally, Helmut Raphael Lieder, Jakob Nikolas Kather, Petra Kleinbongard, Gerd Heusch
2citations -
DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Marko van Treeck, Didem Çifçi, Narmin Ghaffari Laleh, Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Katherine Jane Hewitt, +9 more
13citations -
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer2022 IEEE Conference on Games (CoG) conference-paper Computer Science Reinforcement Learning in Robotics
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Matthias Pallasch, Jannik Drogemuller, Leon Büttinghaus, +7 more
2citations -
On the Verge of Solving Rocket League using Deep Reinforcement Learning and Sim-to-sim Transfer2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Marco Pleines, Konstantin Ramthun, Yannik Wegener, Matthias Pallasch, Jannik Drogemuller, Leon Büttinghaus, +7 more
0citations -
Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer
Liesbeth M. Hondelink, Melek Hüyük, Pieter E. Postmus, Vincent T.H.B.M. Smit, Sami Blom, Jan H. von der Thüsen, +1 more
49citations -
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study2023 The Lancet Digital Health article Computer Science AI in cancer detection Open access cited by 1 patent
Xiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, Hannah Sophie Muti, Tanwei Yuan, Sebastian Foersch, +13 more
108citations -
Deep learning detects premalignant lesions in the Fallopian tube2024 npj Women s Health article Computer Science AI in cancer detection Open access cited by 1 patent
Joep M. A. Bogaerts, John‐Melle Bokhorst, Michiel Simons, Majke H.D. van Bommel, Miranda P. Steenbeek, Joanne A. de Hullu, +17 more
12citations -
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations