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  • Currently displaying 321 - 340 of 599 publications
Learning optical flow for fast MRI reconstruction
T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, C-B Schönlieb
– Inverse Problems
(2021)
37,
095007
(doi: 10.1088/1361-6420/ac164a)
Radiological tumour classification across imaging modality and histology
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature machine intelligence
(2021)
3,
787
(doi: 10.1038/s42256-021-00377-0)
EQUILIBRIA OF AN ANISOTROPIC NONLOCAL INTERACTION EQUATION: ANALYSIS AND NUMERICS
JA Carrillo, B Düring, LM Kreusser, C-B Schönlieb
– Discrete and Continuous Dynamical Systems
(2021)
41,
3985
(doi: 10.3934/dcds.2021025)
Author Correction: A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images (Nature Biomedical Engineering, (2021), 5, 6, (509-521), 10.1038/s41551-021-00704-1)
G Wang, X Liu, J Shen, C Wang, Z Li, L Ye, X Wu, T Chen, K Wang, X Zhang, Z Zhou, J Yang, Y Sang, R Deng, W Liang, T Yu, M Gao, J Wang, Z Yang, H Cai, G Lu, L Zhang, L Yang, W Xu, W Wang, A Olvera, I Ziyar, C Zhang, O Li, W Liao, J Liu, W Chen, W Chen, J Shi, L Zheng, L Zhang, Z Yan, X Zou, G Lin, G Cao, LL Lau, L Mo, Y Liang, M Roberts, E Sala, C-B Schönlieb, M Fok, JY-N Lau, T Xu, J He, K Zhang, W Li, T Lin
– Nature Biomedical Engineering
(2021)
5,
943
(doi: 10.17863/CAM.74831)
A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation
ES Riis, MJ Ehrhardt, GRW Quispel, C-B Schönlieb
– Foundations of Computational Mathematics
(2021)
22,
1351
(doi: 10.1007/s10208-020-09489-2)
Equivariant neural networks for inverse problems.
E Celledoni, MJ Ehrhardt, C Etmann, B Owren, C-B Schönlieb, F Sherry
– Inverse Probl
(2021)
37,
085006
(doi: 10.1088/1361-6420/ac104f)
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
D Kloepfer, AI Aviles-Rivero, D Heydecker
(2021)
(link to publication)
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning
M van Eijnatten, L Rundo, KJ Batenburg, F Lucka, E Beddowes, C Caldas, FA Gallagher, E Sala, C-B Schönlieb, R Woitek
– Computer Methods and Programs in Biomedicine
(2021)
208,
106261
(doi: 10.1016/j.cmpb.2021.106261)
Efficient Global Optimization of Non-Differentiable, Symmetric Objectives for Multi Camera Placement
ML Hänel, C-B Schönlieb
– IEEE Sensors Journal
(2021)
22,
5278
(doi: 10.1109/JSEN.2021.3086037)
Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework
M Benning, MM Betcke, MJ Ehrhardt, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2021)
14,
814
(doi: 10.1137/20m1357500)
Point of Care Image Analysis for COVID-19
D Yaron, D Keidar, E Goldstein, Y Shachar, A Blass, O Frank, N Schipper, N Shabshin, A Grubstein, D Suhami, NR Bogot, CS Weiss, E Sela, AA Dror, M Vaturi, F Mento, E Torri, R Inchingolo, A Smargiassi, G Soldati, T Perrone, L Demi, M Galun, S Bagon, YM Elyada, YC Eldar
– ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(2021)
00,
8153
(doi: 10.1109/icassp39728.2021.9413687)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
– IEEE Transactions on Neural Networks and Learning Systems 2022
(2021)
(link to publication)
On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging
TTN Nguyen, A Wald
(2021)
(link to publication)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, C-B Schönlieb
– Proceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022
(2021)
abs/2106.03755,
72
(doi: 10.1109/wacv51458.2022.00015)
Deep learning as optimal control problems
M Benning, E Celledoni, MJ Ehrhardt, B Owren, C-B Schönlieb
– IFAC Papersonline
(2021)
54,
620
(doi: 10.1016/j.ifacol.2021.06.124)
Structure-preserving deep learning
E CELLEDONI, MJ EHRHARDT, C ETMANN, RI MCLACHLAN, B OWREN, C-B SCHONLIEB, F SHERRY
– European Journal of Applied Mathematics
(2021)
32,
888
(doi: 10.1017/S0956792521000139)
Machine churning
M Roberts
– NEW SCIENTIST
(2021)
245,
23
(link to publication)
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems
S Mukherjee, O Öktem, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2021)
12679,
540
(doi: 10.1007/978-3-030-75549-2_43)
Predicting Lift-Off Time When Deep-Frying Potato Dough Snacks
T Babb, GP Benham, J Bows, R Gonzalez-Farina, KB Kiradjiev, WT Lee, S Tibos
– SIAM Journal on Applied Mathematics
(2021)
81,
574
(doi: 10.1137/19M1294253)
A model reference adaptive system approach for nonlinear online parameter identification
B Kaltenbacher, TTN Nguyen
– Inverse Problems
(2021)
37,
055006
(doi: 10.1088/1361-6420/abf164)

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