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Currently displaying 121 - 140 of 388 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

– Nat. Mac. Intell.

(2023)

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)

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

(2023)

(doi: 10.48550/arxiv.2211.06885)

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)

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 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)

Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data.

D Kreuter, S Tull, JD Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, NS Gleadall, M Roberts

– CoRR

(2023)

abs/2306.09177,

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)

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)