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20182023
most citedArticulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

126 citations · 164 across the 8 of their papers we have counts for

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9 papers · 1 filter

cs.CV20233 cited

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,…

cs.CV2020126 cited

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…

cs.CV2020

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…

cs.CV202033 cited

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…

cs.CV2020

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…

cs.CV2019

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…