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  • Currently displaying 141 - 160 of 335 publications
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
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)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, CB Schonlieb
– CoRR
(2021)
abs/2106.03755,
72
Deep learning as optimal control problems
M Benning, E Celledoni, MJ Ehrhardt, B Owren, CB Schonlieb
– IFAC-PapersOnLine
(2021)
54,
620
Control of bifurcation structures using shape optimization
N Boullé, PE Farrell, A Paganini
(2021)
A generalization of the randomized singular value decomposition
N Boullé, A Townsend
(2021)
Structure-preserving deep learning
E Celledoni, MJ Ehrhardt, C Etmann, RI Mclachlan, B Owren, CB Schonlieb, F Sherry
– European Journal of Applied Mathematics
(2021)
32,
888
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images.
JD Gilbey, C-B Schönlieb
– CoRR
(2021)
abs/2105.04515,
Data-driven discovery of Green's functions with human-understandable deep learning
N Boullé, CJ Earls, A Townsend
(2021)
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems
S Mukherjee, O Öktem, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
12679 LNCS,
540
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images.
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,
509
Dynamic spectral residual superpixels
J Zhang, AI Aviles-Rivero, D Heydecker, X Zhuang, R Chan, CB Schönlieb
– Pattern Recognition
(2021)
112,
107705
An optimal complexity spectral method for Navier--Stokes simulations in the ball
N Boullé, J Słomka, A Townsend
(2021)
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension
KM Mäki-Petäjä, A McGeoch, LL Yang, A Hubsch, CM McEniery, PAR Meyer, F Mir, P Gajendragadkar, N Ramenatte, G Anandappa, S Santos Franco, SJ Bond, C-B Schönlieb, Y Boink, C Brune, IB Wilkinson, DI Jodrell, J Cheriyan
– Hypertension
(2021)
77,
1591
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, C-B Schonlieb
– IEEE Transactions on Image Processing
(2021)
30,
3555
Machine learning for COVID-19 diagnosis and prognostication: lessons for amplifying the signal whilst reducing the noise
D Driggs, I Selby, M Roberts, E Gkrania-Klotsas, J Rudd, G Yang, J Babar, E Sala, C Schoenlieb
– Radiology Artificial Intelligence
(2021)
3,
e210011
Bifurcation analysis of two-dimensional Rayleigh--Bénard convection using deflation
N Boullé, V Dallas, PE Farrell
(2021)
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization
C Runkel, C Etmann, M Möller, C-B Schönlieb
(2021)
Accurate numerical simulation of electrodiffusion and water movement in brain tissue
AJ Ellingsrud, N Boullé, PE Farrell, ME Rognes
(2021)
Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences
K Abraham, I Castillo, E Roquain
(2021)