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Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data2020 IEEE International Conference on Big Data (BigData) conference-paper Engineering Muscle activation and electromyography studies Open access
Marios Kefalas, Milan Koch, Victor Jacobus Geraedts, Hao Wang, Martijn Rudolf Tannemaat, Thomas Bäck
11citations -
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
9citations -
Prediction Power on Cardiovascular Disease of Neuroimmune Guidance Cues Expression by Peripheral Blood Monocytes Determined by Machine-Learning Methods2020 International Journal of Molecular Sciences article Immunology and Microbiology Atherosclerosis and Cardiovascular Diseases Open access
Huayu Zhang, Obbo W Bredewold, Dianne Vreeken, Jacques M.G.J. Duijs, Hetty C. de Boer, Adriaan O. Kraaijeveld, +7 more
7citations -
Generalizable Deep Learning for the Detection of Incomplete and Complete Retinal Pigment Epithelium and Outer Retinal Atrophy: A MACUSTAR Report2024 Translational Vision Science & Technology article Medicine Retinal Imaging and Analysis Open access
Coen de Vente, Philippe Valmaggia, Carel B. Hoyng, Frank Gerhard Holz, Mohammad Mainul Islam, Caroline C. W. Klaver, +5 more
7citations -
Reducing false positives in strong lens detection through effective augmentation and ensemble learning2025 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Astrophysical Phenomena and Observations Open access
Samira Rezaei, Amirmohammad Chegeni, B.C Nagam, J. P. McKean, Mitra Baratchi, Konrad H. Kuijken, +1 more
4citations -
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging2025 Journal of Synchrotron Radiation article Computer Science Image and Signal Denoising Methods Open access
Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo
4citations -
Flow profile generation for a left ventricular assist device using iterative learning control2021 Current Directions in Biomedical Engineering article Engineering Mechanical Circulatory Support Devices Open access
Patrick Borchers, Marian Walter, Steffen K. Leonhardt, Dmitry V. Telyshev, Alexander A. Pugovkin
4citations -
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy2020 Physics in Medicine and Biology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W.E.M. van Dijk, J. Wiersma, P.S. Kroon, +8 more
3citations -
A deep learning methodology for fully-automated quantification of calcific burden in high-resolution intravascular ultrasound images2025 The International Journal of Cardiovascular Imaging article Medicine Coronary Interventions and Diagnostics Open access
Xingwei He, Mohamed Mohamed, Nicole Ng, Thamil Kumaran S M, Retesh Bajaj, Nathan Angelo Lecaros Yap, +9 more
3citations -
Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force2026 Annals of the Rheumatic Diseases review Decision Sciences Meta-analysis and systematic reviews Open access
Victoria Konzett, Faidra Laskou, Josef S Smolen, Christopher J. Edwards, Daniel Aletaha, Désirée M F M van der Heijde, +12 more
3citations -
Development of Machine Learning Algorithms for Identifying Patients With Limited Health Literacy2024 Journal of Evaluation in Clinical Practice article Health Professions Health Literacy and Information Accessibility Open access
Dylan Koole, Oscar Yuan-Jie Shen, Amanda Lans, Tom Maarten Groot, Jorrit‐Jan Verlaan, Joseph H. Schwab
3citations -
Guided Representation Learning for the Classification of Hematopoietic Cells2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2citations