VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data

14 September 2020

Papers citing "VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data"

4 / 4 papers shown

Title
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis Mostafa EL HABIB DAHO Yi-Hsuan Li Rachid Zeghlache Hugo Le Boité Pierre Deman ... A. Couturier R. Tadayoni Pierre-Henri Conze M. Lamard G. Quellec 46 7 0 10 Jan 2024
Contaminated Images Recovery by Implementing Non-negative Matrix Factorisation Pengwei Yang Angel Teng Jack Mangos 16 0 0 08 Nov 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 41 36 0 13 Apr 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016