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Cambridge Mathematics of Information in Healthcare Hub (CMIH)

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  • Currently displaying 1 - 20 of 1304 publications
Extracting chain lines and laid lines from digital images of medieval paper using spectral total variation decomposition
T Großmann, C-B Schönlieb, O Da Rold
– Herit Sci
Mathematics of biomedical imaging today—a perspective
MM Betcke, CB Schönlieb
– Progress in Biomedical Engineering
On Krylov methods for large-scale CBCT reconstruction.
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Phys Med Biol
Inference in High-Dimensional Online Changepoint Detection
Y Chen, T Wang, RJ Samworth
– Journal of the American Statistical Association
Isotonic subgroup selection
MM Müller, HWJ Reeve, TI Cannings, RJ Samworth
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
T Wang, E Dobriban, M Gataric, RJ Samworth
Efficient functional estimation and the super-oracle phenomenon
TB Berrett, RJ Samworth
– Annals of Statistics
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, C Li
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
L Jiang, Y Mao, X Chen, X Wang, C Li
Learning Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images
TG Grossmann, C-B Schönlieb, OD Rold
Multi-modal learning for predicting the genotype of glioma.
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE transactions on medical imaging
Can Physics-Informed Neural Networks beat the Finite Element Method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
Continuous U-Net: Faster, Greater and Noiseless
C-W Cheng, C Runkel, L Liu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
Spectral decomposition of atomic structures in heterogeneous cryo-EM
C Esteve-Yagüe, W Diepeveen, O Öktem, CB Schönlieb
– Inverse Problems
Learning Posterior Distributions in Underdetermined Inverse Problems
C Runkel, M Moeller, CB Schönlieb, C Etmann
The effects of communicating scientific uncertainty on trust and decision making in a public health context
CR Schneider, ALJ Freeman, D Spiegelhalter, S van der Linden
– Judgment and Decision Making
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning
D Chen, M Davies, MJ Ehrhardt, CB Schonlieb, F Sherry, J Tachella
– IEEE Signal Processing Magazine
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
S Mukherjee, A Hauptmann, O Oktem, M Pereyra, CB Schonlieb
– IEEE Signal Processing Magazine