Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn, Yuntae Jeon, Michael Franzen, Matthias Standfest, Jan van Gemert, Seyran Khademi (2025), MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (Eds.), In Computer Vision – ECCV 2024 p.60-75, Springer.

Xinqi Li, Yi Zhang, Yidong Zhao, Jan van Gemert, Qian Tao (2024), Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI, Oscar Camara, Esther Puyol-Antón, Avan Suinesiaputra, Alistair Young, Maxime Sermesant, Qian Tao, Chengyan Wang (Eds.), In Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers p.77-87, Springer.

Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti, Jan van Gemert, Marco La Cascia (2024), Learn & drop: Fast learning of cnns based on layer dropping, In Neural Computing and Applications Volume 36 p.10839-10851.

Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert (2023), A step towards understanding why classification helps regression, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) p.19915-19924, IEEE.

Yicong Tan, Prerak Mody, Viktor van der Valk, Marius Staring, Jan van Gemert (2023), Analyzing Components of a Transformer under Different Dataset Scales in 3D Prostate CT Segmentation, Olivier Colliot, Ivana Isgum (Eds.), In Medical Imaging 2023, SPIE.

Ombretta Strafforello, Klamer Schutte, Jan van Gemert (2023), Are current long-term video understanding datasets long-term?, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) p.2959-2968, IEEE.

Annabel M. Ruiter, Ziqi Wang, Zhao Yin, Willemijn C. Naber, Jerrel Simons, Jurre T. Blom, Jan C. van Gemert, Jan J.G.M. Verschuuren, Martijn R. Tannemaat (2023), Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning, In Annals of Clinical and Translational Neurology Volume 10 p.1314-1325.

J. Warchocki, T. Oprescu, Y. Wang, A. Dămăcuș, P.M. Misterka, R. Bruintjes, A. Lengyel, O. Strafforello, J.C. van Gemert (2023), Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.3008-3016.

A. Lengyel, O. Strafforello, R. Bruintjes, A.S. Gielisse, J.C. van Gemert (2023), Color Equivariant Convolutional Networks, In 37th Conference on Neural Information Processing Systems.

Tino Mager, Seyran Khademi, Ronald Siebes, Jan van Gemert, Victor de Boer, Beate Löffler, Carola Hein (2023), Computer vision and architectural history at eye level: Mixed methods for linking research in the humanities and in information technology (ArchiMediaL), Birgit Schneider, Beate Löffler, Tino Mager, Carola Hein (Eds.), In Mixing Methods p.125-144, Bielefeld University Press.