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  • Currently displaying 241 - 260 of 618 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
– Sci Data
(2023)
10,
493
(doi: 10.1038/s41597-023-02340-7)
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
W Sun, S Chretien, A Biguri, M Soleimani, T Blumensath, J Talbott
(2023)
(link to publication)
Uneven extraction in coffee brewing
WT Lee, A Smith, A Arshad
– Physics of Fluids
(2023)
35,
054110
(doi: 10.1063/5.0138998)
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)
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation
C Li, W Huang, X Chen, Y Wei, L Zhang, J Zhang, S Price, C-B Schönlieb
– Proceedings International Symposium on Biomedical Imaging
(2023)
2023-April,
1
(doi: 10.1109/isbi53787.2023.10230573)
ViGU: Vision GNN U-Net for fast MRI
J Huang, AI Aviles-Rivero, C-B Schönlieb, G Yang
– 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
(2023)
00,
1
(doi: 10.1109/ISBI53787.2023.10230600)
Predicting Conversion of Mild Cognitive Impairment to Alzheimer’s Disease by Modelling Healthy Ageing Trajectories
Y Wei, X Chen, C-B Schönlieb, SJ Price, C Li
– 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
(2023)
2023-April,
1
(doi: 10.1109/isbi53787.2023.10230694)
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)
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging
H Fu, Y Zhao, P-T Yap, C-B Schönlieb, AF Frangi
– IEEE Transactions on Medical Imaging
(2023)
42,
332
(doi: 10.1109/tmi.2022.3231755)
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)
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
K Jin, J Latz, C Liu, CB Schönlieb
– Journal of Machine Learning Research
(2023)
24,
Image Reconstruction in Dynamic Inverse Problems with Temporal Models
A Hauptmann, O Öktem, C Schönlieb
(2023)
1707
(doi: 10.1007/978-3-030-98661-2_83)
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)
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)
Preface
K Chen, CB Schönlieb, XC Tai, L Younes
– Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging Mathematical Imaging and Vision
(2023)
v
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,
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging
(2023)
1
(doi: 10.1007/978-3-030-98661-2)

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