5 papers
Learning Common and Salient Generative Factors Between Two Image Datasets
Yunlong He, Gwilherm Lesné, Ziqian Liu +2
Recent advancements in image synthesis have enabled high-quality image generation and manipulation. Most works focus on: 1) conditional manipulation, where an image is modified con…
Visionerves: Automatic and Reproducible Hybrid AI for Peripheral Nervous System Recognition Applied to Endometriosis Cases
Giammarco La Barbera, Enzo Bonnot, Thomas Isla +10
Endometriosis often leads to chronic pelvic pain and possible nerve involvement, yet imaging the peripheral nerves remains a challenge. We introduce Visionerves, a novel hybrid AI…
Self-Supervised Multiview Xray Matching
Mohamad Dabboussi, Malo Huard, Yann Gousseau +1
Accurate interpretation of multi-view radiographs is crucial for diagnosing fractures, muscular injuries, and other anomalies. While significant advances have been made in AI-based…
First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images
Isabelle Bloch, Enzo Bonnot, Pietro Gori +2
This article deals with the description and recognition of fiber bundles, in particular nerves, in medical images, based on the anatomical description of the fiber trajectories. To…
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
E. Sarfati, A. Bône, M-M. Rohé +4
Hepatocellular carcinoma is the most spread primary liver cancer across the world (80\% of the liver tumors). The gold standard for HCC diagnosis is liver biopsy. However, in…