24 citations
- Radboud University NijmegenNL7 papers
- Eindhoven University of TechnologyNL6 papers
- University Medical Center UtrechtNL4 papers
- Agostino Gemelli University PolyclinicIT1 paper
- Amsterdam University Medical CentersNL1 paper
- CambiaAU1 paper
- Czech Technical University in PragueCZ1 paper
- German Centre for Cardiovascular ResearchDE1 paper
- LMU KlinikumDE1 paper
- Ludwig-Maximilians-Universität MünchenDE1 paper
- Philips (Netherlands)NL1 paper
- Policlinico Abano TermeIT1 paper
7 papers
TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy
Yiling Wang, Elia Lombardo, Adrian Thummerer +25
Purpose: Magnetic resonance imaging (MRI) to visualize anatomical motion is becoming increasingly important when treating cancer patients with radiotherapy. Hybrid MRI-linear accel…
Scaling up self-supervised learning for improved surgical foundation models
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yiping Li +12
Foundation models have revolutionized computer vision by achieving vastly superior performance across diverse tasks through large-scale pretraining on extensive datasets. However,…
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil +9
Over the past decade, computer vision applications in minimally invasive surgery have rapidly increased. Despite this growth, the impact of surgical computer vision remains limited…
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning
Hongxu Yang, Caifeng Shan, R. Arthur Bouwman +3
Medical instrument segmentation in 3D ultrasound is essential for image-guided intervention. However, to train a successful deep neural network for instrument segmentation, a large…
A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use
A. van Diepen, T. H. G. F. Bakkes, A. J. R. De Bie +4
Although mechanical ventilation is a lifesaving intervention in the ICU, it has harmful side-effects, such as barotrauma and volutrauma. These harms can occur due to asynchronies.…
Technical feasibility of Magnetic Resonance Fingerprinting on a 1.5T MRI-Linac
T. Bruijnen, O. van der Heide, M. P. W. Intven +4
Hybrid MRI-linac (MRL) systems enable daily multiparametric quantitative MRI to assess tumor response to radiotherapy. Magnetic Resonance Fingerprinting (MRF) may provide time effi…