Jim M. Smit, Jesse H. Krijthe, Jasper van Bommel, M. E. van Genderen, J. A. Labrecque, M. Komorowski, D. A.M.P.J. Gommers, M. J.T. Reinders (2023), The future of artificial intelligence in intensive care: moving from predictive to actionable AI.

C.A. Raman (2023), Towards Artificial Social Intelligence in the Wild: Sensing, Synthesizing, Modeling, and Perceiving Nonverbal Social Human Behavior, PhD Thesis Delft University of Technology.

Philippe C. Habets, Konstantinos Kalafatakis, Oleh Dzyubachyk, Steven J.A. van der Werff, Arlin Keo, Jamini Thakrar, Ahmed Mahfouz, Alberto M. Pereira, Georgina M. Russell, More Authors (2023), Transcriptional and cell type profiles of cortical brain regions showing ultradian cortisol rhythm dependent responses to emotional face stimulation, In Neurobiology of Stress Volume 22.

Marte C. Liefaard, Kat S. Moore, Lennart Mulder, Daan van den Broek, Jelle Wesseling, Gabe S. Sonke, Lodewyk F.A. Wessels, Matti Rookus, Esther H. Lips (2023), Tumour-educated platelets for breast cancer detection: biological and technical insights, In British Journal of Cancer Volume 128 p.1572-1581.

Joris Quist, Yunqiang Li, Jan van Gemert (2023), Understanding weight-magnitude hyperparameters in training binary networks.

Chengyao Peng, Ali May, Thomas Abeel (2023), Unveiling microbial biomarkers of ruminant methane emission through machine learning, In Frontiers in Microbiology Volume 14.

T.F. Edixhoven, A. Lengyel, J.C. van Gemert (2023), Using and Abusing Equivariance, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.119-128.

Ombretta Strafforello, Xin Liu, Klamer Schutte, Jan van Gemert (2023), Video BagNet: Short temporal receptive fields increase robustness in long-term action recognition, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.159-166.

Tjerry Hut, Arno Roest, Duco Gaillard, Mark Hazekamp, Pieter Van Den Boogaard, Hildo Lamb, Monique Jongbloed, Friso Rijnberg, Sasa Kenjeres, More Authors (2023), Virtual surgery to predict optimized conduit size for adult Fontan patients with 16-mm conduits, In Interdisciplinary cardiovascular and thoracic surgery Volume 37.

Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert (2023), What Affects Learned Equivariance in Deep Image Recognition Models?, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) p.4839-4847.