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Paula Ruibal, Kees L.M.C. Franken, Krista E. van Meijgaarden, Marjolein van Wolfswinkel, Ian Derksen, Ferenc A. Scheeren, Peter A. van Veelen, Thomas Abeel, Simone A. Joosten, More Authors (2022), Identification of HLA-E Binding Mycobacterium tuberculosis-Derived Epitopes through Improved Prediction Models, In Journal of Immunology Volume 209 p.1555-1565.

Vincent van Unen, Laura F. Ouboter, Na Li, Mette Schreurs, Tamim Abdelaal, Yvonne Kooy-Winkelaar, Guillaume Beyrend, Thomas Höllt, P. W.Jeroen Maljaars, M. Luisa Mearin, Ahmed Mahfouz, Anne M.C. Witte, Cornelis H.M. Clemens, Sunje Abraham, Johanna C. Escher, Boudewijn P.F. Lelieveldt, M. Fernanda Pascutti, Andrea E. van der Meulen – de Jong, Frits Koning (2022), Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease, In Frontiers in Immunology Volume 13.

Evert Bosdriesz, João M. Fernandes Neto, Anja Sieber, René Bernards, Nils Blüthgen, Lodewyk F.A. Wessels (2022), Identifying mutant-specific multi-drug combinations using comparative network reconstruction, In iScience Volume 25.

Simke W. Waijer , Michele Provenzano, Skander Mulder, Peter Rossing, Frederik Persson, Vlado Perkovic, Hiddo J.L. Heerspink (2022), Impact of random variation in albuminuria and estimated glomerular filtration rate on patient enrolment and duration of clinical trials in nephrology, In Diabetes, Obesity and Metabolism Volume 24 p.983-990.

Alexander Mey, Marco Loog (2022), Improved Generalization in Semi-Supervised Learning: A Survey of Theoretical Results, In IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 45 p.4747-4767.

Prerak Mody, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Marius Staring (2022), Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty, Carole H. Sudre, Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Adrian Dalca, William M. Wells III, Chen Qin, Ryutaro Tanno, Koen Van Leemput, Koen Van Leemput, William M. Wells III (Eds.), In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Proceedings p.70-79, Springer.

M. Moradi, R. Ghorbani, Stefano Sfarra, D.M.J. Tax, D. Zarouchas (2022), Infrared thermal defect identification and reconstruction of artworks using a spatiotemporal deep neural network, In Proceedings of the International Conference on Inverse Problems in Engineering 2022 Volume 10 p.503-510.

Michiel Bongaerts, Ramon Bonte, Serwet Demirdas, Hidde H. Huidekoper, Janneke Langendonk, Martina Wilke, Walter de Valk, Henk J. Blom, Marcel J.T. Reinders, George J.G. Ruijter (2022), Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores, In Molecular Genetics and Metabolism Volume 136 p.199-218.

A.A. Gudi (2022), Less Machine (=) More Vision: Approaches towards Practical and Efficient Machine Vision with Applications in Face Analysis, PhD Thesis Delft University of Technology.