9 citations · 14 across the 11 of their papers we have counts for
5 papers · 1 filter
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.…
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…
KonfAI: A Modular and Fully Configurable Framework for Deep Learning in Medical Imaging
Valentin Boussot, Jean-Louis Dillenseger
KonfAI is a modular, extensible, and fully configurable deep learning framework specifically designed for medical imaging tasks. It enables users to define complete training, infer…
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…
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…