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Automated parcellation and atlasing of the human subcortex with ultra-high resolution quantitative MRI2025 Imaging Neuroscience article Computer Science Medical Image Segmentation Techniques Open access
Pierre‐Louis Bazin, Josephine Maria Groot, Steven Miletić, Lysanne Groenewegen, Anne C. Trutti, Martijn Mulder, +2 more
4citations -
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging2026 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques Open access
Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier, Volkmar Schulz
0citations -
3D reconstruction of ultra-high resolution neurotransmitter receptor atlases in human and non-human primate brains2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Medical Image Segmentation Techniques Open access
Thomas Funck, Konrad Wagstyl, Claude Lepage, Mona Omidyeganeh, P.-J. Toussaint, Katrin Amunts, +3 more
6citations -
Automated segmentation of the sacro-iliac joints, posterior spinal joints and discovertebral units on low-dose computed tomography for Na[18F]F PET lesion detection in spondyloarthritis patients
W.R.P. van der Heijden, Floris H. P. van Velden, Robert Hemke, Tom C. Doorschodt, Ronald Boellaard, Conny J. van der Laken, +1 more
5citations -
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge2023 IEEE Journal of Biomedical and Health Informatics article Computer Science Medical Image Segmentation Techniques Open access
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, +34 more
90citations -
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney2024 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access cited by 1 patent
Ekin Yağış, Shahab Aslani, Yashvardhan Jain, Yang Zhou, Shahrokh Rahmani, Joseph Brunet, +7 more
25citations -
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 -
Segmentation and registration of within‐subject 7 tesla ex vivo and 3 tesla in situ MRI to increase sensitivity of imaging biomarkers2025 Alzheimer s & Dementia article Computer Science Medical Image Segmentation Techniques Open access
Pulkit Khandelwal, Sydney Lim, Wilma D. J. van de Berg, Louise van der Weerd, Paul A. Yushkevich, Laura E. Jonkman, +1 more
0citations -
Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?2021 European Urology Focus article Computer Science AI in cancer detection Open access cited by 1 patent
Chiara Maria Lavinia Loeffler, Nadina Ortiz Bruechle, Max Jung, Lancelot Seillier, Michael Rose, Narmin Ghaffari Laleh, +5 more
90citations -
Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning2021 Proceedings of the National Academy of Sciences article Computer Science Computational Drug Discovery Methods Open access
Soufiane M. C. Mourragui, Marco Loog, Daniël J. Vis, Kat S Moore, Anna G. Manjón, Mark A. van de Wiel, +2 more
42citations -
Drug combination prediction for cancer treatment using disease-specific drug response profiles and single-cell transcriptional signatures2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Computational Drug Discovery Methods Open access
Daniel Osorio, Parastoo Shahrouzi, Xavier Tekpli, Vessela Nedelcheva Kristensen, Marieke L. Kuijjer
4citations
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