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  • Currently displaying 221 - 240 of 312 publications
Mini-Workshop: Deep Learning and Inverse Problems
SR Arridge, MV de Hoop, P Maaß, C-B Schönlieb
– Oberwolfach Reports
(2019)
15,
559
(doi: 10.4171/owr/2018/11)
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
P Liu, C Li, CB Schönlieb
(2019)
11766,
110
(doi: 10.1007/978-3-030-32248-9_13)
On the connection between adversarial robustness and saliency map interpretability
C Etmann, S Lunz, P Maass, CB Schönlieb
– 36th International Conference on Machine Learning, ICML 2019
(2019)
2019-June,
3255
(link to publication)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
V Corona, AI Aviles-Rivero, N Debroux, M Graves, C Le Guyader, CB Schönlieb, G Williams
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11603 LNCS,
263
(doi: 10.1007/978-3-030-22368-7_21)
P29 Mechanisms of Vascular Endothelial Growth Factor Inhibition Induced Hypertension
K Maki-Petaja, A McGeoch, L Yang, A Hubsch, C McEniery, F Mir, P Gajendragadkar, N Ramenatte, G Anandappa, C Brune, Y Boink, C Bibiane-Schonlieb, P Meyer, S Bond, I Wilkinson, D Jodrell, J Cheriyan
– Artery Research
(2018)
24,
87
(doi: 10.1016/j.artres.2018.10.082)
Faster fista
J Liang, CB Schönlieb
– 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
(2018)
2018-September,
732
(doi: 10.23919/EUSIPCO.2018.8553411)
Variational Image Regularization with Euler's Elastica Using a Discrete Gradient Scheme
T Ringholm, J Lazić, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2018)
11,
2665
(doi: 10.1137/17M1162354)
A Convex Geodesic Selective Model for Image Segmentation
M Roberts, K Chen, KL Irion
– Journal of Mathematical Imaging and Vision
(2018)
61,
482
(doi: 10.1007/s10851-018-0857-2)
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts
L Calatroni, M d'Autume, R Hocking, S Panayotova, S Parisotto, P Ricciardi, C-B Schönlieb
– Heritage science
(2018)
abs/1803.07187,
56
(doi: 10.1186/s40494-018-0216-z)
Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models
M Roberts, K Chen, KL Irion
– International Journal of Computer Mathematics
(2018)
96,
1623
(doi: 10.1080/00207160.2018.1494827)
Local convergence properties of SAGA/Prox-SVRG and acceleration
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6585
Supplementary material for "local convergence properties of SAGA/Prox-SVRG and acceleration"
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6594
Liquid phase blending of metal-organic frameworks.
L Longley, SM Collins, C Zhou, GJ Smales, SE Norman, NJ Brownbill, CW Ashling, PA Chater, R Tovey, C-B Schönlieb, TF Headen, NJ Terrill, Y Yue, AJ Smith, F Blanc, DA Keen, PA Midgley, TD Bennett
– Nat Commun
(2018)
9,
2135
(doi: 10.1038/s41467-018-04553-6)
Sensory Substitution for Force Feedback Recovery
AI Aviles-Rivero, SM Alsaleh, J Philbeck, SP Raventos, N Younes, JK Hahn, A Casals
– ACM Transactions on Applied Perception
(2018)
15,
1
(doi: 10.1145/3176642)
Inverse scale space decomposition
MF Schmidt, M Benning, CB Schönlieb
– Inverse Problems
(2018)
34,
045008
(doi: 10.1088/1361-6420/aab0ae)
Blind image fusion for hyperspectral imaging with the directional total variation
L Bungert, DA Coomes, MJ Ehrhardt, J Rasch, R Reisenhofer, CB Schönlieb
– Inverse Problems
(2018)
34,
044003
(doi: 10.1088/1361-6420/aaaf63)
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration.
C Poon, J Liang, C-B Schönlieb
– ICML
(2018)
80,
4121
(link to publication)
Sliding to predict: vision-based beating heart motion estimation by modeling temporal interactions.
AI Aviles-Rivero, SM Alsaleh, A Casals
– Int J Comput Assist Radiol Surg
(2018)
13,
353
(doi: 10.1007/s11548-018-1702-1)
A Variational Model for Joint Motion Estimation and Image Reconstruction
M Burger, H Dirks, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2018)
11,
94
(doi: 10.1137/16M1084183)
Adversarial regularizers in inverse problems
S Lunz, O Öktem, CB Schönlieb
– ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018)
(2018)
31,
8507
(doi: 10.17863/CAM.40778)

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