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  • Currently displaying 141 - 160 of 618 publications
Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach
M Eliasof, D Murari, F Sherry, C-B Schönlieb
– Frontiers in Artificial Intelligence and Applications
(2024)
392,
1607
Practical Acceleration of the Condat–Vũ Algorithm
D Driggs, MJ Ehrhardt, C-B Schönlieb, J Tang
– SIAM Journal on Imaging Sciences
(2024)
17,
2076
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
R Yan, C-B Schönlieb, C Li
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT II
(2024)
15002 LNCS,
411
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
C-W Cheng, J Huang, Y Zhang, G Yang, C-B Schönlieb, AI Aviles-Rivero
(2024)
Bi-level regularization via iterative mesh refinement for aeroacoustics
C Aarset, TTN Nguyen
(2024)
Can generative AI replace immunofluorescent staining processes? A comparison study of synthetically generated cellpainting images from brightfield
X Xing, S Murdoch, C Tang, G Papanastasiou, J Cross-Zamirski, Y Guo, X Xiao, C-B Schönlieb, Y Wang, G Yang
– Comput Biol Med
(2024)
182,
109102
Sequential bi-level regularized inversion with application to hidden reaction law discovery
TTN Nguyen
(2024)
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
J Huang, L Yang, F Wang, Y Wu, Y Nan, W Wu, C Wang, K Shi, AI Aviles-Rivero, C-B Schönlieb, D Zhang, G Yang
– Medical Image Analysis
(2024)
99,
103334
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)
Parallel-in-Time Solutions with Random Projection Neural Networks
MM Betcke, LM Kreusser, D Murari
(2024)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
(2024)
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
Riemannian geometry for efficient analysis of protein dynamics data
W Diepeveen, C Esteve-Yagüe, J Lellmann, O Öktem, C-B Schönlieb
– Proceedings of the National Academy of Sciences
(2024)
121,
e2318951121
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
– Eur J Radiol Open
(2024)
13,
100594
Proximal Langevin Sampling with Inexact Proximal Mapping
MJ Ehrhardt, L Kuger, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2024)
17,
1729
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
Y Li, C Li, Y Wei, S Price, C-B Schönlieb, X Chen
– Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
(2024)
116,
102420
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)
A geometric integration approach to smooth optimization: foundations of the discrete gradient method
MJ Ehrhardt, ES Riis, T Ringholm, C-B Schönlieb
– IMA Journal of Numerical Analysis
(2024)
45,
1269
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
– Cardiovascular revascularization medicine : including molecular interventions
(2024)
73,
50
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)