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  • Currently displaying 81 - 100 of 1413 publications
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)
A Study of Posterior Stability for Time-Series Latent Diffusion
Y Li, Y Cheng, MVD Schaar
(2024)
(link to publication)
Generalization-a key challenge for responsible AI in patient-facing clinical applications.
L Goetz, N Seedat, R Vandersluis, M van der Schaar
– npj Digital Medicine
(2024)
7,
126
(doi: 10.1038/s41746-024-01127-3)
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning
T Wang, E Dobriban, M Gataric, R Samworth
– Journal of the American Statistical Association
(2024)
120,
395
(doi: 10.1080/01621459.2024.2340792)
Fast and High-Resolution T2 Mapping Based on Echo Merging Plus k-t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI
H Li, AN Priest, I Horvat-Menih, Y Huang, S Li, GD Stewart, IA Mendichovszky, ST Francis, FA Gallagher
– Magnetic resonance in medicine
(2024)
92,
1138
(doi: 10.1002/mrm.30115)
A lumped parameter model for evaluating coronary artery blood supply capacity.
L Cai, Q Zhong, J Xu, Y Huang, H Gao
– Mathematical biosciences and engineering : MBE
(2024)
21,
5838
(doi: 10.3934/mbe.2024258)
Why Tabular Foundation Models Should Be a Research Priority
BV Breugel, MVD Schaar
(2024)
(link to publication)
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
16,
185
(doi: 10.1007/s12532-024-00252-0)
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)
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)
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
(link to publication)
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)
CT pericoronary adipose tissue density predicts coronary allograft vasculopathy and adverse clinical outcomes after cardiac transplantation
C Wall, J Weir-McCall, K Tweed, SP Hoole, D Gopalan, Y Huang, A Corovic, M Peverelli, D Dey, MR Bennett, JHF Rudd, A Kydd, S Bhagra, JM Tarkin
– European Heart Journal Cardiovascular Imaging
(2024)
25,
1018
(doi: 10.1093/ehjci/jeae069)
Improvements in Between‐Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation
H Li, AJ Daniel, CE Buchanan, F Nery, DM Morris, S Li, Y Huang, JA Sousa, S Sourbron, IA Mendichovszky, DL Thomas, AN Priest, ST Francis
– Journal of Magnetic Resonance Imaging
(2024)
60,
2144
(doi: 10.1002/jmri.29282)
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.
R Giddings, A Joseph, T Callender, SM Janes, M van der Schaar, J Sheringham, N Navani
– Lancet Digit Health
(2024)
6,
e131
(doi: 10.1016/S2589-7500(23)00241-8)
On Barenblatt's pseudoparabolic equation with forcing on the half-line via the Fokas method
A Chatziafratis, AS Fokas, EC Aifantis
– ZAMM Zeitschrift Fur Angewandte Mathematik Und Mechanik
(2024)
104,
e202300614
(doi: 10.1002/zamm.202300614)
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities
A Curth, RW Peck, E McKinney, J Weatherall, M van der Schaar
– Clinical Pharmacology and Therapeutics
(2024)
115,
710
(doi: 10.1002/cpt.3159)
Comprehensive biomechanical and anatomical atherosclerotic plaque metrics predict major adverse cardiovascular events: A new tool for clinical decision making.
M Bennett
– Atherosclerosis
(2024)
390,
117449
(doi: 10.1016/j.atherosclerosis.2024.117449)
CT Pericoronary Adipose Tissue Density Predicts Coronary Allograft Vasculopathy And Adverse Clinical Outcomes After Cardiac Transplantation
C Wall, J Weir-McCall, K Tweed, S Hoole, D Gopalan, Y Huang, A Corovic, M Peverelli, D Dey, M Bennettt, J Rudd, A Kydd, S Bhagra, J Tarkin
– Journal of Cardiovascular Computed Tomography
(2024)
18,
s24
(doi: 10.1016/j.jcct.2023.11.063)

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