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  • Currently displaying 121 - 140 of 600 publications
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
L Zhang, Y Cheng, L Liu, C-B Schönlieb, AI Aviles-Rivero
– Lecture Notes in Computer Science
(2024)
15012 LNCS,
3
(doi: 10.1007/978-3-031-72390-2_1)
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
(doi: 10.3233/faia240667)
Practical Acceleration of the Condat-V\ũ Algorithm
D Driggs, MJ Ehrhardt, C-B Schönlieb, J Tang
– SIAM Journal on Imaging Sciences
(2024)
17,
2076
(doi: 10.1137/23M159473X)
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
R Yan, C-B Schönlieb, C Li
– Lecture Notes in Computer Science
(2024)
15002 LNCS,
411
(doi: 10.1007/978-3-031-72069-7_39)
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)
(link to publication)
Bi-level regularization via iterative mesh refinement for aeroacoustics
C Aarset, TTN Nguyen
(2024)
(link to publication)
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
– Computers in biology and medicine
(2024)
182,
109102
(doi: 10.1016/j.compbiomed.2024.109102)
Sequential bi-level regularized inversion with application to hidden reaction law discovery
TTN Nguyen
(2024)
(link to publication)
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
– Med Image Anal
(2024)
99,
103334
(doi: 10.1016/j.media.2024.103334)
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)
(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
– Phys Med Biol
(2024)
69,
175008
(doi: 10.1088/1361-6560/ad5ef1)
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 of the United States of America
(2024)
121,
e2318951121
(doi: 10.1073/pnas.2318951121)
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)
Proximal Langevin Sampling with Inexact Proximal Mapping
MJ Ehrhardt, L Kuger, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2024)
17,
1729
(doi: 10.1137/23m1593565)
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
– Comput Med Imaging Graph
(2024)
116,
102420
(doi: 10.1016/j.compmedimag.2024.102420)
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)
(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)
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
(doi: 10.1093/imanum/drae037)

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