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  • Currently displaying 161 - 180 of 388 publications
Learning Hamiltonians of constrained mechanical systems
E Celledoni, A Leone, D Murari, B Owren
(2022)
(link to publication)
Navigating the challenges in creating complex data systems: a development philosophy.
S Dittmer, M Roberts, JD Gilbey, A Biguri, A-C Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
– CoRR
(2022)
abs/2210.13191,
Dynamics of the N-fold Pendulum in the Framework of Lie Group Integrators
E Celledoni, E Çokaj, A Leone, D Murari, B Owren
(2022)
39,
297
(doi: 10.1007/978-3-031-11818-0_39)
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, C-B Schonlieb
– Journal of Machine Learning Research
(2022)
23,
1
(link to publication)
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, JD Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, A-C Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
– CoRR
(2022)
abs/2206.08478,
AI and Point of Care Image Analysis for COVID-19
M Roberts, O Frank, S Bagon, YC Eldar, C-B Schönlieb
(2022)
85
(doi: 10.1007/978-3-031-08506-2_4)
On Biased Stochastic Gradient Estimation
D Driggs, J Liang, CB Schönlieb
– Journal of Machine Learning Research
(2022)
23,
Preface
G Yang, A Aviles-Rivero, M Roberts, CB Schönlieb
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2022)
13413 LNCS,
v
Medical Image Understanding and Analysis
(2022)
(doi: 10.1007/978-3-031-12053-4)
Estimation of the zero-pressure computational start shape of atherosclerotic plaques: Improving the backward displacement method with deformation gradient tensor.
Y Huang, S Wang, T Luo, MH-F Du, C Sun, U Sadat, C-B Schönlieb, JH Gillard, J Zhang, Z Teng
– J Biomech
(2021)
131,
110910
(doi: 10.1016/j.jbiomech.2021.110910)
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, L Escudero Sanchez, E Sala, D Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C-B Schönlieb, T Xia
– ArXiv
(2021)
3,
1081
(doi: 10.1038/s42256-021-00421-z)
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence.
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, LE Sanchez, E Sala, DL Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C Schönlieb, T Xia
– Nat Mach Intell
(2021)
3,
1081
(doi: 10.1038/s42256-021-00421-z)
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
M Yeung, E Sala, C-B Schönlieb, L Rundo
– Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
(2021)
95,
102026
(doi: 10.1016/j.compmedimag.2021.102026)
Late Breaking Abstract - Fully automated airway measurement correlates with radiological disease progression in Idiopathic Pulmonary Fibrosis
M Roberts, K Kirov, T Mclellan, E Morgan, F Kanavati, D Gallagher, P Molyneaux, C-B Schönlieb, A Ruggiero, M Thillai
– m-Health/e-health
(2021)
58,
OA3951
(doi: 10.1183/13993003.congress-2021.oa3951)
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection
L Zhu, X Wang, P Li, X Yang, Q Zhang, W Wang, C-B Schnlieb, CLP Chen
– IEEE Transactions on Multimedia
(2021)
25,
676
(doi: 10.1109/TMM.2021.3129730)
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
X Bai, H Wang, L Ma, Y Xu, J Gan, Z Fan, F Yang, K Ma, J Yang, S Bai, C Shu, X Zou, R Huang, C Zhang, X Liu, D Tu, C Xu, W Zhang, X Wang, A Chen, Y Zeng, D Yang, M-W Wang, N Holalkere, NJ Halin, IR Kamel, J Wu, X Peng, X Wang, J Shao, P Mongkolwat, J Zhang, W Liu, M Roberts, Z Teng, L Beer, LE Sanchez, E Sala, D Rubin, A Weller, J Lasenby, C Zheng, J Wang, Z Li, C-B Schönlieb, T Xia
(2021)
(doi: 10.48550/arxiv.2111.09461)
Label-Free Prediction of Cell Painting from Brightfield Images
J Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
(2021)
(doi: 10.1101/2021.11.05.467394)
Enhancing the spatial resolution of hyperpolarized carbon-13 MRI of human brain metabolism using structure guidance
MJ Ehrhardt, FA Gallagher, MA McLean, C-B Schönlieb
– Magn Reson Med
(2021)
87,
1301
(doi: 10.1002/mrm.29045)
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.
SE Hickman, R Woitek, EPV Le, YR Im, C Mouritsen Luxhøj, AI Aviles-Rivero, GC Baxter, JW MacKay, FJ Gilbert
– Radiology
(2021)
302,
210391
(doi: 10.1148/radiol.2021210391)
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data
MS Kotzagiannidis, C-B Schönlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2021)
60,
1
(doi: 10.1109/tgrs.2021.3112298)

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