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  • Currently displaying 21 - 40 of 330 publications
Training Data Reconstruction: Privacy Due to Uncertainty?
C Runkel, KV Gandikota, J Geiping, C-B Schönlieb, M Moeller
– IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
(2025)
00,
3502
(doi: 10.1109/cvprw67362.2025.00335)
Predictions based on pixel data: Insights from PDEs and finite differences
E Celledoni, J Jackaman, D Murari, B Owren
– Journal of Computational Physics
(2025)
538,
114166
(doi: 10.1016/j.jcp.2025.114166)
ADFound: A Foundation Model for Diagnosis and Prognosis of Alzheimer's Disease.
G Yang, K Du, Z Yang, Y Du, EYW Cheung, Y Zheng, M Yang, Z Kourtzi, C-B Schonlieb, S Wang
– IEEE journal of biomedical and health informatics
(2025)
29,
8395
(doi: 10.1109/jbhi.2025.3576436)
Smooth Model Compression without Fine-Tuning
C Runkel, NK Meli, J Lukasik, A Biguri, C-B Schönlieb, M Moeller
(2025)
(link to publication)
Approximation theory for 1-Lipschitz ResNets
D Murari, T Furuya, C-B Schönlieb
(2025)
(link to publication)
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
– European Heart Journal Digital Health
(2025)
6,
529
(doi: 10.1093/ehjdh/ztaf053)
Parameter choices in HaarPSI for IQA with medical images
C Karner, J Gröhl, I Selby, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, JHF Rudd, C-B Schönlieb, JR Weir-McCall, A Breger
(2025)
(doi: 10.48550/arxiv.2410.24098)
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
L Yang, J Huang, Y Fang, AI Aviles-Rivero, C-B Schönlieb, D Zhang, G Yang
– IEEE Transactions on Instrumentation and Measurement
(2025)
74,
1
(doi: 10.1109/TIM.2025.3554318)
From Euler-Jacobi to Bogoyavlensky and back
D Murari, N Sansonetto
(2025)
(link to publication)
Enhancing Brain Age Prediction and Neurodegeneration Detection with Contrastive Learning on Regional Biomechanical Properties.
J Träuble, LV Hiscox, C Johnson, A Aviles-Rivero, CB Schönlieb, GSK Schierle
(2025)
(doi: 10.1101/2025.03.25.645330)
Enhancing Fourier Neural Operators with Local Spatial Features
C Liu, D Murari, L Liu, Y Li, C Budd, C-B Schönlieb
(2025)
(link to publication)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, AIX-COVNET Collaboration, C-B Schönlieb
– Journal of imaging informatics in medicine
(2025)
38,
3444
(doi: 10.1007/s10278-025-01462-1)
Approximation properties of neural ODEs
AD Marinis, D Murari, E Celledoni, N Guglielmi, B Owren, F Tudisco
(2025)
(link to publication)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, A-C Collaboration, C-B Schönlieb
(2025)
(doi: 10.48550/arxiv.2405.19097)
(link to publication)
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
– Radiol Artif Intell
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
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 transactions on neural networks and learning systems
(2025)
36,
147
(doi: 10.1109/TNNLS.2023.3332003)
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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