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most citedCalibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results

2 citations · 3 across the 8 of their papers we have counts for

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cs.CV2025

Fine-tuning Segment Anything for Real-Time Tumor Tracking in Cine-MRI

Valentin Boussot, Cédric Hémon, Jean-Claude Nunes +1

In this work, we address the TrackRAD2025 challenge of real-time tumor tracking in cine-MRI sequences of the thoracic and abdominal regions under strong data scarcity constraints.…

cs.CV2025

Why Registration Quality Matters: Enhancing sCT Synthesis with IMPACT-Based Registration

Valentin Boussot, Cédric Hémon, Jean-Claude Nunes +1

We participated in the SynthRAD2025 challenge (Tasks 1 and 2) with a unified pipeline for synthetic CT (sCT) generation from MRI and CBCT, implemented using the KonfAI framework. O…

cs.CV2025

Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation

Mathilde Monvoisin, Louise Piecuch, Blanche Texier +7

The objective of this paper is to significantly reduce the manual workload required from medical professionals in complex 3D segmentation tasks that cannot be yet fully automated.…

cs.CV2025★ 2 cited

Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results

Meritxell Riera-Marin, Sikha O K, Julia Rodriguez-Comas +29

Deep learning (DL) has become the dominant approach for medical image segmentation, yet ensuring the reliability and clinical applicability of these models requires addressing key…

cs.CV2025

IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration

Valentin Boussot, Cédric Hémon, Jean-Claude Nunes +5

Image registration is fundamental in medical imaging, enabling precise alignment of anatomical structures for diagnosis, treatment planning, image-guided interventions, and longitu…