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Multiscale segmentation using hierarchical phase-contrast tomography and deep learning2026 PLoS Computational Biology article Computer Science Medical Image Segmentation Techniques Open access
Yang Zhou, Shahab Zeini Aslani, Yousef Javanmardi, Joseph Brunet, David Stansby, Saskia Carroll, +5 more
3citations -
Advancing RemoTAP: A Deep Learning Framework for Predictive Dynamic Quality Assessment in Multi-Angle Polarimetry2026 EGU General Assembly Conference Abstracts conference-abstract Environmental Science Atmospheric aerosols and clouds Open access
Piyushkumar N. Patel, Bastiaan van Diedenhoven, Otto Hasekamp, Guangliang Fu
0citations -
Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data2026 North American Spine Society Journal (NASSJ) article Medicine Intraoperative Neuromonitoring and Anesthetic Effects Open access
Tamir Themans, Paula Valerie ter Wengel, Saskia van der Gaag, Justin Dauwels, Mark van de Ruit, Niels Anthony Van Der Gaag
0citations -
Deep learning can predict PNPLA3 I148M homozygous carriers in SLD patients based on MRIs from UK Biobank2025 Zeitschrift für Gastroenterologie conference-paper Medicine Liver Disease Diagnosis and Treatment
Yazhou Chen, Benjamin P. M. Laevens, Teresa Lemainque, Gustav Anton Müller‐Franzes, Tobias Seibel, Carola Dlugosch, +19 more
0citations -
Computational Photosynthesis (ComPhot): Simulation-Based Learning Platform to Study Photosynthesis2024 The Plant Cell article Biochemistry, Genetics and Molecular Biology Photosynthetic Processes and Mechanisms Open access
Sarah Philipps, Tobias Pfennig, Elouën Corvest, Marvin van Aalst, Lisa Fürtauer, Anna Matuszyńska
0citations -
Automated Segmentation of Mitochondria in Virus-Infected Cells Using Deep Learning Models2023 Microscopy and Microanalysis article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Matthijs Schrage, Mario-Alin Rus, Marre Niessen, Thomas Burgoyne, Andreia Pinto
1citations -
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes2023 arXiv (Cornell University) preprint Neuroscience Neural dynamics and brain function Open access
Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem A. M. Wybo, Francesco Simula, Sandra Diaz-Pier, +2 more
4citations -
Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) -- Core Model, Design Space, and Lessons Learned2024 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access
Dirk Fahland, Marco Montali, Julian Lebherz, Wil M. P. van der Aalst, Maarten van Asseldonk, Lien Bosmans, +8 more
6citations -
A Spatiotemporal Deep Learning Approach for Urban Pluvial Flood Forecasting with Multi-Source Data2023 Water article Environmental Science Hydrological Forecasting Using AI Open access cited by 1 patent
Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, André Niemann, Markus Quirmbach
45citations -
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts2020 PLoS Medicine article Medicine Liver Disease Diagnosis and Treatment Open access cited by 3 patents
Naeimeh Atabaki‐Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares‐Millan, Mark Haid, +57 more
96citations -
Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling2021 CPT Pharmacometrics & Systems Pharmacology article Mathematics Mathematical Biology Tumor Growth Open access
Laura B. Zwep, Kevin L. W. Duisters, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen van Hasselt
5citations