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  • Currently displaying 141 - 160 of 395 publications
Data-driven multivariate cohort selection and automated CT scan lung volume measurement identifies disease progression in Idiopathic Pulmonary Fibrosis (IPF)
H Manners, T Mclellan, K Kirov, M Roberts, F Kanavati, G Mckenzie, D Gallagher, J Hainsworth, D Dosanjh, P Molyneaux, A Ruggiero, M Thillai
– 12.01 - Idiopathic interstitial pneumonias
(2022)
60,
4502
(doi: 10.1183/13993003.congress-2022.4502)
On Krylov Methods for Large Scale CBCT Reconstruction
MS Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schonlieb
(2022)
(link to publication)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Chen, L Liu, S Wang, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Z Deng, R Ke, C-B Schonlieb, AI Aviles-Rivero
(2022)
(link to publication)
P164 Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax
I Selby, D Driggs, V Majcher, M Roberts, L Escudero Sanchez, J Rudd, E Sala, C Bibiane-Schönlieb, S Marciniak, J Babar
– ‘Infinity War’ – Ongoing clinical challenges in COVID-19
(2022)
77,
a169.3
(doi: 10.1136/thorax-2022-BTSabstracts.298)
Discretization of parameter identification in PDEs using neural networks
B Kaltenbacher, TTN Nguyen
– Inverse Problems
(2022)
38,
124007
(doi: 10.1088/1361-6420/ac9c25)
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, A-C Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2210.13191)
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 & 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,
5796
(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
– Scientific reports
(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)

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