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  • Currently displaying 1 - 20 of 270 publications
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)
PP,
1
From Euler-Jacobi to Bogoyavlensky and back
D Murari, N Sansonetto
(2025)
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)
Enhancing Fourier Neural Operators with Local Spatial Features
C Liu, D Murari, C Budd, L Liu, C-B Schönlieb
(2025)
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)
1
Approximation properties of neural ODEs
AD Marinis, D Murari, E Celledoni, N Guglielmi, B Owren, F Tudisco
(2025)
FCN+: Global receptive convolution makes FCN great again
X Ren, Z Deng, J Ye, J He, D Yang
– Neurocomputing
(2025)
631,
129655
A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation
Z Huang, Z Deng, J Ye, H Wang, Y Su, T Li, H Sun, J Cheng, J Chen, J He, Y Gu, S Zhang, L Gu, Y Qiao
– Medical image analysis
(2025)
101,
103499
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, CB Schönlieb, J Del Ser, G Yang
– Nature Machine Intelligence
(2025)
7,
172
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, members of the AIX-COVNET collaboration
– Radiology Artificial Intelligence
(2025)
e240003
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)
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
Symplectic Neural Flows for Modeling and Discovery
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero
– IEEE Transactions on Intelligent Transportation Systems
(2024)
26,
2747
Training Data Reconstruction: Privacy due to Uncertainty?
C Runkel, KV Gandikota, J Geiping, C-B Schönlieb, M Moeller
(2024)
Neural networks for the approximation of Euler’s elastica
E Celledoni, E Çokaj, A Leone, S Leyendecker, D Murari, B Owren, RTSM de Almagro, M Stavole
– Computer Methods in Applied Mechanics and Engineering
(2024)
435,
117584
Operator learning regularization for macroscopic permeability prediction in dual-scale flow problem
C Runkel, S Xiao, N Boullé, Y Chen
(2024)
PARAMETER CHOICES IN HAARPSI FOR IQA WITH MEDICAL IMAGES
A Breger, M Roberts, J Rudd, C Schoenlieb, J Weir-McCall
– Arxiv
(2024)
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Liò, CB Schönlieb, A Aviles-Rivero
– MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia
(2024)
abs/2311.18839,
1265
Hamiltonian Matching for Symplectic Neural Integrators
P Canizares, D Murari, C-B Schönlieb, F Sherry, Z Shumaylov
(2024)