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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 -
The effects of mobile technology usage on cognitive, affective, and behavioural learning outcomes in primary and secondary education: A systematic review with meta‐analysis2022 Journal of Computer Assisted Learning review Computer Science Mobile Learning in Education Open access
Jingxian Wang, Dineke E.H. Tigelaar, Tian Zhou, Wilfried Admiraal
26citations -
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Francesco Santini, Jakob Wasserthal, Abramo Agosti, Xeni Deligianni, Kevin R. Keene, Hermien E. Kan, +8 more
20citations -
Multi-institutional PET/CT image segmentation using federated deep transformer learning2023 Computer Methods and Programs in Biomedicine article Computer Science Privacy-Preserving Technologies in Data Open access cited by 1 patent
Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, +4 more
32citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
0citations -
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Çifçi, Marko van Treeck, +9 more
12citations -
Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool2025 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access
Benno G. Gesierich, Lukas Pirpamer, Dominik Meier, Michael Amann, Minne N. Cerfontaine, Frank‐Erik de Leeuw, +8 more
6citations