9 citations · 14 across the 11 of their papers we have counts for
15 papers
When Misalignment Becomes Supervision: Structured Label Noise in Supervised Synthetic CT Generation
Valentin Boussot, Cedric Hemon, Caroline Lafond +2
Supervised synthetic CT (sCT) generation is commonly trained and evaluated as voxel-wise regression against registered reference CT images. In practice, MRI-CT and CBCT-CT pairs ar…
TotalSynth: Robust Whole-Body Synthetic CT from MRI and CBCT
Valentin Boussot, Cedric Hemon, Anais Barateau +3
Purpose: To develop and evaluate TotalSynth, a reusable pretrained framework for whole-body synthetic CT (sCT) generation from MRI and cone-beam CT (CBCT) images. Materials and Met…
Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report
Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl +30
Radiation therapy (RT) requires precise dose delivery over multiple fractions, with CT fundamental for treatment planning due to its electron density information. Repeated CT acqui…
Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark
M. Riera-Marín, O. K. Sikha, J. Rodríguez-Comas +23
Surgical resection remains the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC), and eligibility depends on accurate assessment of vascular invasion…
Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
Rongjun Ge, Xin Li, Yuxing Liu +8
The segmentation of 2D vascular structures via deep learning holds significant clinical value but is hindered by the scarcity of annotated data, severely limiting its widespread ap…
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…
CNN-based real-time 2D-3D deformable registration from a single X-ray projection
François Lecomte, Jean-Louis Dillenseger, Stéphane Cotin
Purpose: The purpose of this paper is to present a method for real-time 2D-3D non-rigid registration using a single fluoroscopic image. Such a method can find applications in surge…
Measurement and Analysis of Lobar Lung Deformation After a Change of Patient Position During Video-Assisted Thoracoscopic Surgery
Pablo Alvarez, Matthieu Chabanas, Stéphane Sikora +3
Video-assisted thoracoscopic surgery (VATS) is a minimally invasive surgical technique for the diagnosis and treatment of early-stage lung cancer. During VATS, large lung deformati…
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
Song Wang, Yuting He, Youyong Kong +7
Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and…
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Yuting He, Tiantian Li, Guanyu Yang +6
Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region cons…
Sub-pixel matching method for low-resolution thermal stereo images
Yannick Wend Kuni Zoetgnande, Geoffroy Cormier, Alain-Jérôme Fougères +1
In the context of a localization and tracking application, we developed a stereo vision system based on cheap low-resolution 80x60 pixels thermal cameras. We proposed a threefold s…