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  • Currently displaying 61 - 80 of 330 publications
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 : 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, 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)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
– Nature Machine Intelligence
(2024)
6,
373
(doi: 10.1038/s42256-024-00817-7)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin, J Huang, Z Deng, G Yang, C-B Schönlieb, A Aviles-Rivero
(2024)
(link to publication)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
– 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
(2024)
00,
1
(doi: 10.1109/MLSP58920.2024.10734760)
Continuous U-Net: Faster, Greater and Noiseless
CW Cheng, C Runkel, L Liu, RH Chan, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2024)
2024,
Artificial Intelligence-Led Intracoronary OCT Analysis to Identify Drug Efficacy and Predict Patient Events
B Jessney, X Chen, S Gu, Y Huang, S Hoole, M Roberts, M Bennett
– JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
(2024)
84,
B17
(link to publication)
The curious case of the test set AUROC
M Roberts, A Hazan, S Dittmer, JHF Rudd, C-B Schönlieb
(2023)
(doi: 10.48550/arxiv.2312.16188)
Dynamical Systems–Based Neural Networks
E Celledoni, D Murari, B Owren, C-B Schönlieb, F Sherry
– SIAM Journal on Scientific Computing
(2023)
45,
a3071
(doi: 10.1137/22m1527337)
Neural networks for the approximation of Euler's elastica
E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSMD Almagro, M Stavole
(2023)
(link to publication)
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, C-B Schönlieb, A Aviles-Rivero
(2023)
(doi: 10.48550/arxiv.2311.18839)

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