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  • Currently displaying 281 - 300 of 2028 publications
Avoiding methane emission rate underestimates when using the divergence method
C Roberts, R IJzermans, D Randell, M Jones, P Jonathan, K Mandel, B Hirst, O Shorttle
– Environmental Research Letters
(2023)
18,
114033
(doi: 10.1088/1748-9326/ad0252)
Optimal Self-Concordant Barriers for Quantum Relative Entropies
H Fawzi, J Saunderson
– SIAM J. Optim.
(2023)
33,
2858
(doi: 10.1137/22m1500216)
Bird-Snack: Bayesian inference of dust law RV distributions using SN Ia apparent colours at peak
SM Ward, S Dhawan, KS Mandel, M Grayling, S Thorp
– Monthly Notices of the Royal Astronomical Society
(2023)
526,
5715
(doi: 10.1093/mnras/stad3159)
Relative Intrinsic Scatter in Hierarchical Type Ia Supernova Sibling Analyses: Application to SNe 2021hpr, 1997bq, and 2008fv in NGC 3147
SM Ward, S Thorp, KS Mandel, S Dhawan, DO Jones, K Taggart, RJ Foley, G Narayan, KC Chambers, DA Coulter, KW Davis, T de Boer, K de Soto, N Earl, A Gagliano, H Gao, J Hjorth, ME Huber, L Izzo, D Langeroodi, EA Magnier, P McGill, A Rest, C Rojas-Bravo, R Wojtak
– Astrophysical Journal
(2023)
956,
111
(doi: 10.3847/1538-4357/acf7bb)
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping
Y Li, C Li, Y Wei, S Price, C-B Schönlieb, X Chen
– Lecture Notes in Computer Science
(2023)
14243 LNCS,
21
(doi: 10.1007/978-3-031-45087-7_3)
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
JO Cross-Zamirski, P Anand, G Williams, E Mouchet, Y Wang, C-B Schönlieb
– 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
(2023)
00,
3802
(doi: 10.1109/ICCVW60793.2023.00411)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
(doi: 10.48550/arxiv.2310.02874)
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Y Yang, H Fu, AI Aviles-Rivero, C-B Schönlieb, L Zhu
– Lecture Notes in Computer Science
(2023)
14225,
95
(doi: 10.1007/978-3-031-43987-2_10)
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
J Huang, AI Aviles-Rivero, C-B Schönlieb, G Yang
– Lecture Notes in Computer Science
(2023)
14229,
3
(doi: 10.1007/978-3-031-43999-5_1)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
A Bastounis, AN Gorban, AC Hansen, DJ Higham, D Prokhorov, O Sutton, IY Tyukin, Q Zhou
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2023)
14254,
530
(doi: 10.1007/978-3-031-44207-0_44)
The Impact of Imputation Quality on Machine Learning Classifier Performance for Datasets with Missing Values
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Communications medicine
(2023)
3,
139
(doi: 10.1038/s43856-023-00356-z)
Integrating Artificial Intelligence Tools in the Clinical Research Setting: the Ovarian Cancer Use Case
L Escudero Sanchez, T Buddenkotte, M Al Sa'd, C McCague, J Darcy, L Rundo, A Samoshkin, MJ Graves, V Hollamby, P Browne, M Crispin-Ortuzar, R Woitek, E Sala, C-B Schönlieb, SJ Doran, O Öktem
– Diagnostics (Basel)
(2023)
13,
2813
(doi: 10.3390/diagnostics13172813)
Rapid Artefact Removal and H&E-Stained Tissue Segmentation
BA Schreiber, J Denholm, F Jaeckle, MJ Arends, KM Branson, C-B Schönlieb, EJ Soilleux
(2023)
(link to publication)
Extracting Chain Lines and Laid Lines from Digital Images of Medieval Paper using Spectral Total Variation Decomposition
T Großmann, C-B Schönlieb, O Da Rold
– Heritage science
(2023)
11,
180
(doi: 10.1186/s40494-023-01013-3)
Effectiveness of international border control measures during the COVID-19 pandemic: a narrative synthesis of published systematic reviews.
KA Grépin, J Aston, J Burns
– Philos Trans A Math Phys Eng Sci
(2023)
381,
20230134
(doi: 10.1098/rsta.2023.0134)
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds
W Diepeveen, J Lellmann, O Öktem, C-B Schönlieb
– SIAM Journal on Imaging Sciences
(2023)
16,
1440
(doi: 10.1137/22m1520773)
Common methodological pitfalls in ICI pneumonitis risk prediction studies.
YK Chen, S Welsh, AM Pillay, B Tannenwald, K Bliznashki, E Hutchison, JAD Aston, C-B Schönlieb, JHF Rudd, J Jones, M Roberts
– Front Immunol
(2023)
14,
1228812
(doi: 10.3389/fimmu.2023.1228812)
Mathematics of biomedical imaging today-a perspective
MM Betcke, C-B Schönlieb
– Progress in Biomedical Engineering
(2023)
5,
043002
(doi: 10.1088/2516-1091/acd973)
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness
Y Cheng, L Liu, S Wang, Y Jin, C-B Schönlieb, AI Aviles-Rivero
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2023)
13932 LNCS,
177
(doi: 10.1007/978-3-031-39539-0_15)
SN 2023ixf in Messier 101: A Variable Red Supergiant as the Progenitor Candidate to a Type II Supernova
CD Kilpatrick, RJ Foley, WV Jacobson-Galán, AL Piro, SJ Smartt, MR Drout, A Gagliano, C Gall, J Hjorth, DO Jones, KS Mandel, R Margutti, E Ramirez-Ruiz, CL Ransome, VA Villar, DA Coulter, H Gao, DJ Matthews, K Taggart, Y Zenati
– The Astrophysical Journal Letters
(2023)
952,
l23
(doi: 10.3847/2041-8213/ace4ca)

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