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Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations2025 European Journal of Radiology Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access
Mahshad Lotfinia, Arash Tayebiarasteh, Mehdi Joodaki, Soroosh Tayebi Arasteh
9citations -
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology2023 npj Precision Oncology article Computer Science AI in cancer detection Open access cited by 1 patent
Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Jan Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, +5 more
88citations -
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi
115citations -
Development and validation of a supervised deep learning algorithm for automated whole‐slide programmed death‐ligand 1 tumour proportion score assessment in non‐small cell lung cancer
Liesbeth M. Hondelink, Melek Hüyük, Pieter E. Postmus, Vincent T.H.B.M. Smit, Sami Blom, Jan H. von der Thüsen, +1 more
49citations -
Self-supervised learning for denoising quasiparticle interference data2025 Physical review. B./Physical review. B article Computer Science Image and Signal Denoising Methods
Ilse S. Kuijf, Willem O. Tromp, Tjerk Benschop, Niño Philip Ramones, Miguel Antonio Sulangi, Evert van Nieuwenburg, +1 more
1citations -
Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning2023 European Heart Journal - Digital Health article Computer Science AI in cancer detection Open access
Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Buelow, +11 more
33citations -
A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging2025 e-Journal of Nondestructive Testing article Computer Science Image and Signal Denoising Methods Open access
Virginia Florian, Jiayang Shi, Willem Jan Palestijn, Daniël M. Pelt, K. Joost Batenburg, Thomas Lang, +5 more
0citations