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  • Currently displaying 141 - 160 of 600 publications
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, C-B Schönlieb, F Sherry
– Foundations of Computational Mathematics
(2024)
25,
1087
(doi: 10.1007/s10208-024-09654-x)
Optimised Propainter for Video Diminished Reality Inpainting
P Li, L Liu, C-B Schönlieb, AI Aviles-Rivero
– 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
(2024)
00,
1
(doi: 10.1109/isbi56570.2024.10635380)
Can physics-informed neural networks beat the finite element method?
TG Grossmann, UJ Komorowska, J Latz, C-B Schönlieb
– IMA Journal of Applied Mathematics Institute of Mathematics and Its Applications
(2024)
89,
143
(doi: 10.1093/imamat/hxae011)
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
– Clin Infect Dis
(2024)
78,
s160
(doi: 10.1093/cid/ciae108)
Data-Driven Convex Regularizers for Inverse Problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, C-B Schönlieb
– ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
(2024)
00,
13386
(doi: 10.1109/icassp48485.2024.10447719)
Designing stable neural networks using convex analysis and ODEs
F Sherry, E Celledoni, MJ Ehrhardt, D Murari, B Owren, C-B Schönlieb
– Physica D: Nonlinear Phenomena
(2024)
463,
134159
(doi: 10.1016/j.physd.2024.134159)
Correction to: The curious case of the test set AUROC (Nature Machine Intelligence, (2024), 6, 4, (373-376), 10.1038/s42256-024-00817-7)
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B 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
W Khor, YK Chen, M Roberts, F Ciampa
– Aip Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks.
W Khor, YK Chen, M Roberts, F Ciampa
– Scientific Reports
(2024)
14,
8353
(doi: 10.1038/s41598-024-56636-8)
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks
W Khor, YK Chen, M Roberts, F Ciampa
– Scientific Reports
(2024)
14,
8353
(doi: 10.1038/s41598-024-56636-8)
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems
Z Cai, J Tang, S Mukherjee, J Li, C-B Schönlieb, X Zhang
– SIAM Journal on Imaging Sciences
(2024)
17,
820
(doi: 10.1137/23M1581807)
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)
Provably Convergent Plug-and-Play Quasi-Newton Methods
HY Tan, S Mukherjee, J Tang, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2024)
17,
785
(doi: 10.1137/23m157185x)
Recent methodological advances in federated learning for healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
– Patterns (N Y)
(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)
(doi: 10.48550/arxiv.2403.12719)
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes.
A Chambolle, C Delplancke, MJ Ehrhardt, C-B Schönlieb, J Tang
– Journal of mathematical imaging and vision
(2024)
66,
294
(doi: 10.1007/s10851-024-01174-1)
Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study.
J Huang, PF Ferreira, L Wang, Y Wu, AI Aviles-Rivero, C-B Schönlieb, AD Scott, Z Khalique, M Dwornik, R Rajakulasingam, R De Silva, DJ Pennell, S Nielles-Vallespin, G Yang
– Scientific reports
(2024)
14,
5658
(doi: 10.1038/s41598-024-55880-2)

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