26 citations · 77 across the 14 of their papers we have counts for
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eess.IV2023
Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
Minh Hieu Phan, Zhibin Liao, Johan W. Verjans +1
Medical image synthesis is a challenging task due to the scarcity of paired data. Several methods have applied CycleGAN to leverage unpaired data, but they often generate inaccurat…
cs.CV2023
Multi-Head Multi-Loss Model Calibration
Adrian Galdran, Johan Verjans, Gustavo Carneiro +1
Delivering meaningful uncertainty estimates is essential for a successful deployment of machine learning models in the clinical practice. A central aspect of uncertainty quantifica…