126 citations · 164 across the 8 of their papers we have counts for
9 papers · 1 filter
Ultrasound Image Reconstruction with Denoising Diffusion Restoration Models
Yuxin Zhang, Clément Huneau, Jérôme Idier +1
Ultrasound image reconstruction can be approximately cast as a linear inverse problem that has traditionally been solved with penalized optimization using the or norm,…
Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration
Diana Mateus, Radu Horaud, David Knossow +2
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to…
Lightweight U-Net for High-Resolution Breast Imaging
Mickael Tardy, Diana Mateus
We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We work on a supervised segmentation task looking for an accept…
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound
Dawood Al Chanti, Vanessa Gonzalez Duque, Marion Crouzier +3
We present an accurate, fast and efficient method for segmentation and muscle mask propagation in 3D freehand ultrasound data, towards accurate volume quantification. A deep Siames…
Medical-based Deep Curriculum Learning for Improved Fracture Classification
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff +5
Current deep-learning based methods do not easily integrate to clinical protocols, neither take full advantage of medical knowledge. In this work, we propose and compare several st…
Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni +5
We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray ima…