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  • Currently displaying 81 - 100 of 600 publications
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
A Biguri, T Sadakane, R Lindroos, Y Liu, MS Landman, Y Du, M Lohvithee, S Kaser, S Hatamikia, R Bryll, E Valat, S Wonglee, T Blumensath, C-B Schönlieb
– Engineering Research Express
(2025)
7,
015011
(doi: 10.1088/2631-8695/adbb3a)
Domain generalization and punch mark classification
W Peaslee, L Wrapson, C-B Schönlieb
– Journal of Cultural Heritage
(2025)
72,
226
(doi: 10.1016/j.culher.2025.02.001)
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, C-B Schönlieb, J Del Ser, G Yang
– Nature Machine Intelligence
(2025)
7,
172
(doi: 10.1038/s42256-025-00984-1)
A Pipeline for Automated Quality Control of Chest Radiographs
IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall, AIX-COVNET Collaboration
– Radiology. Artificial intelligence
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
A Essakine, Y Cheng, CW Cheng, L Zhang, Z Deng, L Zhu, CB Schönlieb, AI Aviles-Rivero
– Transactions on Machine Learning Research
(2025)
2025-February,
1
Dynamics of liquid infiltration into an espresso bed using time-resolved micro-computed tomography: Insights from experiment and modeling
J Foster, W Lee, K Moroney, D Prjamkov, M Salamon, A Smith, J Petrassem-de-Sousa, M Vynnycky
– Physics of Fluids
(2025)
37,
013383
(doi: 10.1063/5.0245167)
Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
X Chen, Y Huang, B Jessney, J Sangha, S Gu, C-B Schönlieb, M Bennett, M Roberts
(2025)
(doi: 10.48550/arxiv.2501.18614)
(link to publication)
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Trans Neural Netw Learn Syst
(2025)
36,
147
(doi: 10.1109/TNNLS.2023.3332003)
Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion
X Xing, C Tang, S Murdoch, G Papanastasiou, Y Guo, X Xiao, J Cross-Zamirski, C-B Schönlieb, KX Liang, Z Niu, EF Fang, Y Wang, G Yang
– Neurocomputing
(2025)
612,
128715
(doi: 10.1016/j.neucom.2024.128715)
Maximum entropy on the mean and the Cramér rate function in statistical estimation and inverse problems: properties, models, and algorithms
Y Vaisbourd, R Choksi, A Goodwin, T Hoheisel, C-B Schönlieb
– Mathematical Programming
(2025)
214,
441
(doi: 10.1007/s10107-024-02189-7)
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation
C Liu, Z Qiao, C Li, C-B Schönlieb
– SIAM Journal on Mathematics of Data Science
(2025)
7,
55
(doi: 10.1137/24M1633662)
Preface
TA Bubba, R Gaburro, S Gazzola, K Papafitsoros, M Pereyra, CB Schönlieb
– Lecture Notes in Computer Science
(2025)
15668 LNCS,
v
A Study on the Adequacy of Common IQA Measures for Medical Images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
(2025)
1372,
451
(doi: 10.1007/978-981-96-3863-5_41)
Bi-level Regularization via Iterative Mesh Refinement for Aeroacoustics
C Aarset, TTN Nguyen
(2025)
11,
149
(doi: 10.1007/978-3-031-87213-6_19)
Improving the generalisation of radiographic AI using automated data curation to mitigate shortcut learning
I Selby, EG Solares, A Breger, M Roberts, LE Sánchez, J Rudd, N Walton, J Babar, C-B Schönlieb, E Sala, J Weir-McCall
– The Royal College of Radiologists Open
(2025)
3,
100232
(doi: 10.1016/j.rcro.2024.100232)
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
J Lee, X Cai, CB Schönlieb, S Masnou
– Transactions on Machine Learning Research
(2025)
2025-June,
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
W Diepeveen, G Batzolis, Z Shumaylov, CB Schönlieb
– Proceedings of Machine Learning Research
(2025)
267,
13746
Preface
TA Bubba, R Gaburro, S Gazzola, K Papafitsoros, M Pereyra, CB Schönlieb
– Lecture Notes in Computer Science
(2025)
15667 LNCS,
v
LIE ALGEBRA CANONICALIZATION: EQUIVARIANT NEURAL OPERATORS UNDER ARBITRARY LIE GROUPS
Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, CB Schönlieb
– 13th International Conference on Learning Representations Iclr 2025
(2025)
13401
SpeedyAnnotate: An Intuitive and Open-Source Tool for Efficient Image Annotation and Quality Comparison
I Selby, A Breger, M Roberts, LE Sánchez, J Babar, J Rudd, E Sala, C-B Schönlieb, J Weir-McCall
– The Royal College of Radiologists Open
(2025)
3,
100233
(doi: 10.1016/j.rcro.2024.100233)

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