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  • Currently displaying 1 - 20 of 336 publications
Bifurcation analysis of a two-dimensional magnetic Rayleigh–Bénard problem
F Laakmann, N Boullé
– Physica D Nonlinear Phenomena
(2024)
467,
134270
(doi: 10.1016/j.physd.2024.134270)
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
C Huang, Z Wu, Y Cheng, T Zeng, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers
A Hauptmann, S Mukherjee, CB Schönlieb, F Sherry
– Foundations of Computational Mathematics
(2024)
1
(doi: 10.1007/s10208-024-09654-x)
A study on the adequacy of common IQA measures for medical images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
(2024)
(link to publication)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, AIX-COVNET Collaboration, C-B Schönlieb
(2024)
(link to publication)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA Journal of Applied Mathematics
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
Multiplicative Dynamic Mode Decomposition
N Boullé, MJ Colbrook
(2024)
(doi: 10.48550/arxiv.2405.05334)
(link to publication)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
(2024)
(link to publication)
REFORMS: Consensus-based Recommendations for Machine-learning-based Science.
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, JM Hofman, J Hullman, MA Lones, MM Malik, P Nanayakkara, RA Poldrack, ID Raji, M Roberts, MJ Salganik, M Serra-Garcia, BM Stewart, G Vandewiele, A Narayanan
– Science advances
(2024)
10,
eadk3452
(doi: 10.1126/sciadv.adk3452)
Reducing the Antigen Prevalence Target Threshold for Stopping and Restarting Mass Drug Administration for Lymphatic Filariasis Elimination: A Model-Based Cost-effectiveness Simulation in Tanzania, India and Haiti
MC Antony Oliver, M Graham, KM Gass, GF Medley, J Clark, EL Davis, LJ Reimer, JD King, KB Pouwels, TD Hollingsworth
– Clinical Infectious Diseases
(2024)
78,
s160
(doi: 10.1093/cid/ciae108)
Designing stable neural networks using convex analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, CB Schönlieb
– Physica D : Non-linear phenomena
(2024)
463,
134159
(doi: 10.1016/j.physd.2024.134159)
Publisher Correction: The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
6,
494
(doi: 10.1038/s42256-024-00834-6)
Non-contact, portable and stand-off infrared thermal imager for security scanning applications
WL Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
Riemannian geometry for inverse problems in cryogenic electron microscopy
W Diepeveen
(2024)
(doi: 10.17863/CAM.109508)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE transactions on neural networks and learning systems
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
Randomized Nyström approximation of non-negative self-adjoint operators
D Persson, N Boullé, D Kressner
(2024)
(link to publication)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, M Schut, F Asselbergs, S Kar, S Sivapalaratnam, S Williams, M Koh, Y Henskens, B de Wit, U D'Alessandro, B Bah, O Secka, P Nachev, R Gupta, S Trompeter, N Boeckx, C van Laer, GA Awandare, K Sarpong, L Amenga-Etego, M Leers, M Huijskens, S McDermott, WH Ouwehand, J Rudd, CB Schӧnlieb, N Gleadall, M Roberts, J Preller, JHF Rudd, JAD Aston, CB Schönlieb
– Patterns
(2024)
5,
101006
(doi: 10.1016/j.patter.2024.101006)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
AI Aviles-Rivero, C-W Cheng, Z Deng, Z Kourtzi, C-B Schönlieb
(2024)
(link to publication)
Pulling back symmetric Riemannian geometry for data analysis
W Diepeveen
(2024)
(link to publication)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
6,
373
(doi: 10.1038/s42256-024-00817-7)

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