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- Currently displaying 181 - 200 of 310 publications
A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
– SIAM Journal on Imaging Sciences
(2020)
13,
351
(doi: 10.1137/19m1271907)
A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography
– Journal of the Royal Society Interface
(2020)
17,
20190831
(doi: 10.1098/rsif.2019.0831)
Bregman Itoh-Abe Methods for Sparse Optimisation
– Journal of Mathematical Imaging and Vision
(2020)
62,
842
(doi: 10.1007/s10851-020-00944-x)
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
(2020)
(doi: 10.1109/tgrs.2019.2940146)
Three-dimensional Segmentation of Trees Through a
Flexible Multi-Class Graph Cut Algorithm (MCGC)
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
754
(doi: 10.1109/TGRS.2019.2940146)
IUNets: Learnable invertible up-and downsampling for large-scale inverse problems
– PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
(2020)
00,
1
A multi-contrast MRI approach to thalamus segmentation.
– Hum Brain Mapp
(2020)
abs/1807.10757,
2104
(doi: 10.1002/hbm.24933)
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
(doi: 10.1109/tgrs.2019.2961599)
Deeply learned spectral total variation decomposition
– Advances in Neural Information Processing Systems
(2020)
2020-December,
Classification of Human Gait Acceleration Data Using Convolutional Neural Networks
– International Journal of Innovative Computing, Information and Control
(2020)
16,
609
(doi: 10.24507/ijicic.16.02.609)
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
– 37th International Conference on Machine Learning Icml 2020
(2020)
PartF168147-14,
10089
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
– CoRR
(2020)
abs/2008.06388,
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video
Recovery
(2019)
Linkage between piecewise constant mumford-shah model and rudin-osher-fatemi model and its virtue in image segmentation
– SIAM Journal on Scientific Computing
(2019)
41,
b1310
(doi: 10.1137/18m1202980)
Deep learning as optimal control problems: Models and numerical methods
– Journal of Computational Dynamics
(2019)
6,
179
(doi: 10.3934/jcd.2019009)
Faster PET reconstruction with non-smooth priors by randomization and preconditioning
– Physics in Medicine and Biology
(2019)
64,
225019
(doi: 10.1088/1361-6560/ab3d07)
On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems
– Journal of Mathematical Imaging and Vision
(2019)
62,
376
(doi: 10.1007/s10851-019-00902-2)
Stability analysis of line patterns of an anisotropic interaction model
– SIAM E-Journal on Applied Dynamical Systems
(2019)
18,
1798
(doi: 10.1137/18m1181638)
GraphX$^\mathbf{\small NET } -$ Chest X-Ray Classification Under Extreme Minimal Supervision
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2019)
11769,
504
(doi: 10.1007/978-3-030-32226-7_56)
On an effective multigrid solver for solving a class of variational problems with application to image segmentation
– International Journal of Computer Mathematics
(2019)
97,
2015