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  • Currently displaying 141 - 160 of 388 publications
Dynamical systems' based neural networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
(2022)
(link to publication)
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
(2022)
(link to publication)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MICCAI 2022
(2022)
(doi: 10.48550/arxiv.2204.02399)
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art
S Hatamikia, A Biguri, G Herl, G Kronreif, T Reynolds, J Kettenbach, T Russ, A Tersol, A Maier, M Figl, JH Siewerdsen, W Birkfellner
– Physics in Medicine and Biology
(2022)
67,
16TR03
(doi: 10.1088/1361-6560/ac8590)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Transactions on Pattern Analysis and Machine Intelligence
(2022)
44,
1
(doi: 10.1109/tpami.2021.3070382)
Effects of fast x-ray cone-beam tomographic measurement on dimensional metrology
C Rossides, H Towsyfyan, A Biguri, H Deyhle, R Lindroos, M Mavrogordato, R Boardman, W Sun, T Blumensath
– Metrologia
(2022)
59,
044003
(doi: 10.1088/1681-7575/ac7926)
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torne, E Sala, P Lio, M Patel, A-C Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2206.08478)
Label-Free Prediction of Cell Painting from Brightfield Images
JO Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
– Sci Rep
(2022)
12,
10001
(doi: 10.1038/s41598-022-12914-x)
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
– An international journal on information 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)
Parameter identification for elliptic boundary value problems: An abstract framework and applications
H Hoffmann, A Wald, TTN Nguyen
– Inverse Problems
(2022)
38,
075005
(doi: 10.1088/1361-6420/ac6d02)
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: 10.17863/CAM.83790)
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)
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)
Learning-informed parameter identification in nonlinear time-dependent PDEs
C Aarset, M Holler, TTN Nguyen
(2022)
(link to publication)
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
R Ke, AI Aviles-Rivero, S Pandey, S Reddy, C-B Schonlieb
– IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
(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)
On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging
TTN Nguyen, A Wald
– Inverse Problems & Imaging
(2022)
16,
89
(doi: 10.3934/ipi.2021042)

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