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  • Currently displaying 81 - 100 of 395 publications
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction
A Biguri, S Mukherjee, X Zhao, X Liu, X Wang, R Yang, Y Du, Y Peng, M Brudfors, M Graham, H Ryu, O Kutter, A Hauptmann, M Al-Rubaye, MT Nieminen, MAK Brix, A Yunker, R Kettimuthu, JC Roeske, S Alavala, S Gorthi, C-B Schönlieb
(2024)
(doi: 10.36227/techrxiv.172418119.96055599/v1)
Parallel-in-Time Solutions with Random Projection Neural Networks
MM Betcke, LM Kreusser, D Murari
(2024)
(link to publication)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
(2024)
(link to publication)
Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components
AC Whitehead, K-H Su, EC Emond, A Biguri, L Brusaferri, M Machado, JC Porter, H Garthwaite, SD Wollenweber, JR McClelland, K Thielemans
– Physics in medicine and biology
(2024)
69,
175008
(doi: 10.1088/1361-6560/ad5ef1)
Using machine learning to predict carotid artery symptoms from CT angiography: A radiomics and deep learning approach.
EPV Le, MYZ Wong, L Rundo, JM Tarkin, NR Evans, JR Weir-McCall, MM Chowdhury, PA Coughlin, H Pavey, F Zaccagna, C Wall, R Sriranjan, A Corovic, Y Huang, EA Warburton, E Sala, M Roberts, C-B Schönlieb, JHF Rudd
– European journal of radiology open
(2024)
13,
100594
(doi: 10.1016/j.ejro.2024.100594)
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Y Zhang, C-W Cheng, K Yu, Z He, C-B Schönlieb, AI Aviles-Rivero
(2024)
(link to publication)
Correcting common OCT artifacts enhances plaque classification and identification of higher-risk plaque features.
B Jessney, X Chen, S Gu, A Brown, D Obaid, C Costopoulos, M Goddard, N Shah, H Garcia-Garcia, Y Onuma, P Serruys, SP Hoole, M Mahmoudi, M Roberts, M Bennett
– Cardiovasc Revasc Med
(2024)
73,
50
(doi: 10.1016/j.carrev.2024.06.023)
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)
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)
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, C-B Schönlieb
– Physica D Nonlinear Phenomena
(2024)
463,
134159
(doi: 10.1016/j.physd.2024.134159)
The curious case of the test set AUROC (Apr, 10.1038/s42256-024-00817-7, 2024)
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)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification.
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
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
(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)

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