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  • Currently displaying 181 - 200 of 303 publications
A multi-contrast MRI approach to thalamus segmentation.
V Corona, J Lellmann, P Nestor, C-B Schönlieb, J Acosta-Cabronero
– Human Brain Mapping
(2020)
41,
2104
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
Deeply learned spectral total variation decomposition
TG Grossmann, Y Korolev, G Gilboa, CB Schönlieb
– Advances in Neural Information Processing Systems
(2020)
2020-December,
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
– 37th International Conference on Machine Learning Icml 2020
(2020)
PartF168147-14,
10089
Classification of Human Gait Acceleration Data Using Convolutional Neural Networks
D Kreuter, H Takahashi, Y Omae, T Akiduki, Z Zhang
– International Journal of Innovative Computing, Information and Control
(2020)
16,
609
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
M Roberts, D Driggs, M Thorpe, JD Gilbey, M Yeung, S Ursprung, AI Avilés-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, JHF Rudd, E Sala, C-B Schönlieb
– CoRR
(2020)
abs/2008.06388,
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
(2019)
Linkage between piecewise constant mumford-shah model and rudin-osher-fatemi model and its virtue in image segmentation
X Cai, R Chan, C-B Schönlieb, G Steidl, T Zeng
– SIAM Journal on Scientific Computing
(2019)
41,
b1310
Deep learning as optimal control problems: Models and numerical methods
M Benning, E Celledoni, MJ Ehrhardt, B Owren, C-B Schönlieb
– Journal of Computational Dynamics
(2019)
6,
179
Faster PET reconstruction with non-smooth priors by randomization and preconditioning.
MJ Ehrhardt, P Markiewicz, C-B Schönlieb
– Physics in medicine and biology
(2019)
64,
225019
Stability Analysis of Line Patterns of an Anisotropic Interaction Model
JA Carrillo, B Düring, LM Kreusser, C-B Schönlieb
– SIAM E-Journal on Applied Dynamical Systems
(2019)
18,
1798
GraphX$^\mathbf{\small NET } -$ Chest X-Ray Classification Under Extreme Minimal Supervision
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2019)
11769 LNCS,
504
On an effective multigrid solver for solving a class of variational problems with application to image segmentation
M Roberts, K Chen, J Li, KL Irion
– International Journal of Computer Mathematics
(2019)
97,
2015
RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
R Li, RT Tan, L-F Cheong, AI Aviles-Rivero, Q Fan, C-B Schönlieb
– Proceedings of the IEEE International Conference on Computer Vision
(2019)
00,
7303
Artificial intelligence in clinical imaging: a health system approach.
FJ Gilbert, SW Smye, C-B Schönlieb
– Clinical Radiology
(2019)
75,
3
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
S Collins, K MacArthur, L Longley, R Tovey, M Benning, C Schoenlieb, T Bennett, P Midgley
– APL Materials
(2019)
7,
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
SM Collins, KE MacArthur, L Longley, R Tovey, M Benning, C-B Schönlieb, TD Bennett, PA Midgley
– APL Materials
(2019)
7,
091111
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
(2019)
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
V Corona, M Benning, LF Gladden, A Reci, AJ Sederman, C-B Schoenlieb
– CoRR
(2019)
abs/1908.05285,
Chan–Vese Reformulation for Selective Image Segmentation
M Roberts, J Spencer
– Journal of Mathematical Imaging and Vision
(2019)
61,
1173