output
20112026
most citedHigh-resolution measurements of face-to-face contact patterns in a primary school

871 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans

Theo Di Piazza, Carole Lazarus, Olivier Nempont +1

With the growing volume of CT examinations, there is an increasing demand for automated tools such as organ segmentation, abnormality detection, and report generation to support ra…

cs.CV2025★ 1 cited

Self-Supervised Z-Slice Augmentation for 3D Bio-Imaging via Knowledge Distillation

Alessandro Pasqui, Sajjad Mahdavi, Benoit Vianay +6

Three-dimensional biological microscopy has significantly advanced our understanding of complex biological structures. However, limitations due to microscopy techniques, sample pro…

cs.CV2021★ 3 cited

Disentangled representations: towards interpretation of sex determination from hip bone

Kaifeng Zou, Sylvain Faisan, Fabrice Heitz +4

By highlighting the regions of the input image that contribute the most to the decision, saliency maps have become a popular method to make neural networks interpretable. In medica…

cs.CV2020★ 7 cited

Retinal vessel segmentation by probing adaptive to lighting variations

Guillaume Noyel, Christine Vartin, Peter Boyle +1

We introduce a novel method to extract the vessels in eye fun-dus images which is adaptive to lighting variations. In the Logarithmic Image Processing framework, a 3-segment probe…

cs.CV2018★ 10 cited

Hubless keypoint-based 3D deformable groupwise registration

Rémi Agier, Sébastien Valette, Razmig Kéchichian +2

We present a novel algorithm for Fast Registration Of image Groups (FROG), applied to large 3D image groups. Our approach extracts 3D SURF keypoints from images, computes matched p…

cs.CV2018★ 58 cited

Segmentation of Arterial Walls in Intravascular Ultrasound Cross-Sectional Images Using Extremal Region Selection

Mehdi Faraji, Irene Cheng, Iris Naudin +1

Intravascular Ultrasound (IVUS) is an intra-operative imaging modality that facilitates observing and appraising the vessel wall structure of the human coronary arteries. Segmentat…