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  • Currently displaying 201 - 220 of 387 publications
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 LNCS,
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
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 Trans Image Process
(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: 10.17863/CAM.74057)
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)
Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.
EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, H Pavey, C Wall, F Zaccagna, FA Gallagher, Y Huang, R Sriranjan, A Le, JR Weir-McCall, M Roberts, FJ Gilbert, EA Warburton, C-B Schönlieb, E Sala, JHF Rudd
– Nature Scientific Reports
(2021)
11,
3499
(doi: 10.1038/s41598-021-82760-w)
Learning to Segment Microscopy Images with Lazy Labels
R Ke, A Bugeau, N Papadakis, P Schuetz, C-B Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2021)
12535 LNCS,
411
(doi: 10.1007/978-3-030-66415-2_27)
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
(2021)
(doi: 10.48550/arxiv.2008.06388)
Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination
D Kimanius, G Zickert, T Nakane, J Adler, S Lunz, C-B Schönlieb, O Öktem, SHW Scheres
– Iucrj
(2021)
8,
60
(doi: 10.1107/s2052252520014384)
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, JD Gilbey, M Yeung, S Ursprung, AI Avilés-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, JHF Rudd, E Sala, C-B Schönlieb
– Nat. Mach. Intell.
(2021)
3,
199
Improving a Stochastic Algorithm for Regularized PET Image Reconstruction
C Delplancke, M Gurnell, J Latz, PJ Markiewicz, C-B Schönlieb, MJ Ehrhardt
– 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
(2020)
00,
1
(doi: 10.1109/nss/mic42677.2020.9508013)
A model reference adaptive system approach for nonlinear online parameter identification
B Kaltenbacher, TTN Nguyen
(2020)
(link to publication)

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