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  • Currently displaying 201 - 220 of 395 publications
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
– 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
(2021)
00,
8153
(doi: 10.1109/ICASSP39728.2021.9413687)
On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging
TTN Nguyen, A Wald
(2021)
(link to publication)
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)
HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation.
H Peng, AI Aviles-Rivero, C-B Schönlieb
– 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
(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
(2021)
12679,
540
(doi: 10.1007/978-3-030-75549-2_43)
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)
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
(doi: 10.1038/s41551-021-00704-1)
Dynamic spectral residual superpixels
J Zhang, AI Aviles-Rivero, D Heydecker, X Zhuang, R Chan, C-B Schönlieb
– Pattern Recognition
(2021)
112,
107705
(doi: 10.1016/j.patcog.2020.107705)
Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition-Induced Hypertension: The HYPAZ Trial
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 (Dallas, Tex. : 1979)
(2021)
77,
1591
(doi: 10.1161/hypertensionaha.120.16454)
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
(doi: 10.1109/TIP.2021.3062726)
Machine learning for covid-19 diagnosis and prognostication: Lessons for amplifying the signal while 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
(doi: 10.1148/ryai.2021210011)
The tangential cone condition for some coefficient identification model problems in parabolic PDEs
B Kaltenbacher, TTN Nguyen, O Scherzer
(2021)
121
(doi: 10.1007/978-3-030-57784-1_5)
Parameter Identification for the Landau–Lifshitz–Gilbert Equation in Magnetic Particle Imaging
B Kaltenbacher, TTN Nguyen, A Wald, T Schuster
(2021)
377
(doi: 10.1007/978-3-030-57784-1_13)
Toward on-the-fly trajectory optimization for C-arm CBCT under strong kinematic constraints
S Hatamikia, A Biguri, G Kronreif, M Figl, T Russ, J Kettenbach, M Buschmann, W Birkfellner
– PloS one
(2021)
16,
e0245508
(doi: 10.1371/journal.pone.0245508)
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, JHF Rudd, E Sala, C-B Schönlieb
– Nature Machine Intelligence
(2021)
3,
199
(doi: 10.1038/s42256-021-00307-0)

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