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- Currently displaying 181 - 200 of 306 publications
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,
171
(doi: 10.3934/jcd.2019009)
Bifurcation analysis of stationary solutions of two-dimensional coupled
Gross-Pitaevskii equations using deflated continuation
(2019)
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)
Stability Analysis of Line Patterns of an Anisotropic Interaction Model
– SIAM Journal on Applied Dynamical Systems
(2019)
18,
1798
(doi: 10.1137/18M1181638)
GraphX $^\mathbf{\small NET } -$ N E T - 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 LNCS,
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
RainFlow: Optical flow under rain streaks and rain veiling effect
– 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
00,
7303
(doi: 10.1109/ICCV.2019.00740)
Artificial intelligence in clinical imaging: a health system approach
– Clinical radiology
(2019)
75,
3
(doi: 10.1016/j.crad.2019.09.122)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
091111
(doi: 10.1063/1.5120093)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
(doi: 10.1063/1.5120093)
Variational Multi-Task MRI Reconstruction: Joint Reconstruction,
Registration and Super-Resolution
(2019)
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
– CoRR
(2019)
abs/1908.05285,
Chan-Vese Reformulation for Selective Image Segmentation.
– J Math Imaging Vis
(2019)
61,
1173
(doi: 10.1007/s10851-019-00893-0)
Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations
(2019)
(doi: 10.1101/686261)
Mirror, Mirror, on the Wall, Who’s Got the Clearest Image of Them All?—A Tailored Approach to Single Image Reflection Removal
– IEEE Trans Image Process
(2019)
28,
6185
(doi: 10.1109/TIP.2019.2923559)
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
– International Geoscience and Remote Sensing Symposium (IGARSS)
(2019)
00,
592
(doi: 10.1109/IGARSS.2019.8898189)