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  • Currently displaying 121 - 140 of 330 publications
146 Ct radiomics in carotid artery atherosclerosis: a systematic evaluation of robustness, reproducibility and predictive performance for culprit lesions
E Le, L Rundo, J Tarkin, N Evans, M Chowdhury, P Coughlin, H Pavey, C Wall, F Zaccagna, F Gallagher, Y Huang, R Sriranjan, A Le, J Weir-McCall, M Roberts, F Gilbert, E Warburton, C-B Schönlieb, E Sala, J Rudd
– Imaging
(2022)
108,
A112.1
(doi: 10.1136/heartjnl-2022-BCS.146)
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Y Nan, JD Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, J Owen, J Neville, J Guiot, B Ernst, A Pastor, A Alberich-Bayarri, MI Menzel, S Walsh, W Vos, N Flerin, J-P Charbonnier, E van Rikxoort, A Chatterjee, H Woodruff, P Lambin, L Cerdá-Alberich, L Martí-Bonmatí, F Herrera, G Yang
– Inf Fusion
(2022)
82,
99
(doi: 10.1016/j.inffus.2022.01.001)
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, C-B Schönlieb, O Öktem
– Inverse Problems
(2022)
38,
075006
(doi: 10.1088/1361-6420/ac28ec)
Improving “Fast Iterative Shrinkage-Thresholding Algorithm”: Faster, Smarter, and Greedier
J Liang, T Luo, C-B Schönlieb
– SIAM Journal on Scientific Computing
(2022)
44,
a1069
(doi: 10.1137/21m1395685)
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence (vol 3, pg 1081, 2021)
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
– Nature Machine Intelligence
(2022)
4,
413
(doi: 10.1038/s42256-022-00485-5)
Comparative Performance of Fully-Automated and Semi-Automated Artificial Intelligence Methods for the Detection of Clinically Significant Prostate Cancer on MRI: a Systematic Review
N Sushentsev, N Moreira Da Silva, M Yeung, T Barrett, E Sala, M Roberts, L Rundo
– Insights Imaging
(2022)
13,
59
(doi: 10.1186/s13244-022-01199-3)
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review
N Sushentsev, N Moreira Da Silva, M Yeung, T Barrett, E Sala, M Roberts, L Rundo
– Insights into Imaging
(2022)
13,
59
(doi: 10.1186/s13244-022-01199-3)
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
R Ke, AI Aviles-Rivero, S Pandey, S Reddy, C-B Schonlieb
– IEEE Trans Image Process
(2022)
31,
1805
(doi: 10.1109/TIP.2022.3144036)
AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis
Y Chen, C-B Schönlieb, P Liò, T Leiner, PL Dragotti, G Wang, D Rueckert, D Firmin, G Yang
– Proceedings of the IEEE
(2022)
110,
224
(doi: 10.1109/JPROC.2022.3141367)
Learning Hamiltonians of constrained mechanical systems
E Celledoni, A Leone, D Murari, B Owren
(2022)
(link to publication)
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)
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,
On Biased Stochastic Gradient Estimation
D Driggs, J Liang, CB Schönlieb
– Journal of Machine Learning Research
(2022)
23,
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,
ARTN 1
(link to publication)
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)
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
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,
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
– Journal of Biomechanics
(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)

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