Max A.A. Ragusi, Tycho Bismeijer, Bas H.M. van der Velden, Claudette E. Loo, Sander Canisius, Jelle Wesseling, Lodewyk F.A. Wessels, Sjoerd G. Elias, Kenneth G.A. Gilhuijs (2021), Contralateral parenchymal enhancement on MRI is associated with tumor proteasome pathway gene expression and overall survival of early ER+/HER2-breast cancer patients, In Breast Volume 60 p.230-237.

J. M. Smit, M. E. van Genderen, M. J.T. Reinders, D. A.M.P.J. Gommers, J. H. Krijthe, J. Van Bommel (2021), Demystifying machine learning for mortality prediction, In Critical Care.

Gerard A. Bouland, Ahmed Mahfouz, Marcel J.T. Reinders (2021), Differential analysis of binarized single-cell RNA sequencing data captures biological variation, In NAR Genomics and Bioinformatics Volume 3.

M. E.Madeleine Van Der Perk, Linda Broer, Yutaka Yasui, Leslie L. Robison, Melissa M. Hudson, Joop S.E. Laven, Helena J. Van Der Pal, Wim J.E. Tissing, Jesse H. Krijthe, More Authors (2021), Effect of genetic variation in CYP450 on Gonadal impairment in a European cohort of female childhood cancer survivors, based on a candidate gene approach: Results from the pancareLIFE study, In Cancers Volume 13 p.1-21.

Aysun Urhan, Thomas Abeel (2021), Emergence of novel SARS-CoV-2 variants in the Netherlands, In Scientific Reports Volume 11.

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Irene M. Lips, Mohammad T.Manzuri Shalmani, Roel T. Zinkstok, Frank J.W.M. Dankers, Marius Staring (2021), Esophageal Tumor Segmentation in CT Images using a Dilated Dense Attention Unet (DDAUnet), In IEEE Access Volume 9 p.99235-99248.

Attila Lengyel, Jan van Gemert (2021), Exploiting Learned Symmetries in Group Equivariant Convolutions, In 2021 IEEE International Conference on Image Processing (ICIP) p.759-763, IEEE.

Guangliang Li, Shimon Whiteson, Hamdi Dibeklioğlu, H.S. Hung (2021), Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework, In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems p.1735-1737, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Jianzhu Ma , Samson H. Fong, Yunan Luo, Christopher J. Bakkenist, John Paul Shen, Soufiane Mourragui, Lodewyk F.A. Wessels, Marc Hafner, Roded Sharan, Peng Jiang, Trey Ideker (2021), Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients, In Nature Cancer Volume 2 p.233-244.

Mirrelijn M. van Nee, Lodewyk F.A. Wessels, Mark A. van de Wiel (2021), Flexible co-data learning for high-dimensional prediction, In Statistics in Medicine Volume 40 p.5910-5925.