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  • Currently displaying 81 - 100 of 313 publications
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data.
A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb
– Scientific data
(2023)
10,
493
(doi: 10.1038/s41597-023-02340-7)
Navigating the development challenges in creating complex data systems
S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
– Nature Machine Intelligence
(2023)
5,
681
(doi: 10.1038/s42256-023-00665-x)
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences
E Celledoni, J Jackaman, D Murari, B Owren
(2023)
(link to publication)
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Continuous U-Net: Faster, Greater and Noiseless
C-W Cheng, C Runkel, L Liu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, C-B Schönlieb
– Inverse Problems
(2023)
39,
034003
(doi: 10.1088/1361-6420/acb2ba)
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, C-B Schnlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
(2023)
40,
134
(doi: 10.1109/msp.2022.3205430)
Learning Hamiltonians of constrained mechanical systems
E Celledoni, A Leone, D Murari, B Owren
– Journal of Computational and Applied Mathematics
(2023)
417,
114608
(doi: 10.1016/j.cam.2022.114608)
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O ktem, M Pereyra, C-B Schnlieb
– IEEE Signal Processing Magazine
(2023)
40,
164
(doi: 10.1109/msp.2022.3207451)
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, C-B Schönlieb, C Etmann
(2023)
14009,
187
(doi: 10.1007/978-3-031-31975-4_15)
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)
GLPG1205 shows reduction in lung volume decline over 26 weeks vs placebo when measured with novel volumetric CT analysis in IPF patients
M Thillai, K Kirov, E Santermans, M Roberts, P Molyneaux, F Kanavati, D Gallagher, A De Haas-Amatsaleh, T Van Der Aa, P Ford, C Seemayer, B Van Den Blink, A Ruggiero
– 12.01 - Idiopathic interstitial pneumonias
(2022)
60,
836
(doi: 10.1183/13993003.congress-2022.836)
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)
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2022)
(doi: 10.48550/arxiv.2211.06885)
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
(doi: 10.1136/thorax-2022-BTSabstracts.298)
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
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT III
(2022)
13433 LNCS,
717
(doi: 10.1007/978-3-031-16437-8_69)

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