An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction R Barbano, J Leuschner, M Schmidt, A Denker, A Hauptmann, P Maaß, ...
IEEE Transactions on Computational Imaging 8, 1210-1222, 2022
28 * 2022 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning J Antorán, D Janz, JU Allingham, E Daxberger, RR Barbano, E Nalisnick, ...
International Conference on Machine Learning, 796-821, 2022
26 2022 Uncertainty quantification in medical image synthesis R Barbano, S Arridge, B Jin, R Tanno
Biomedical Image Synthesis and Simulation, 601-641, 2022
23 2022 Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent R Barbano, C Zhang, S Arridge, B Jin
2020 25th International Conference on Pattern Recognition (ICPR), 1392-1399, 2020
19 2020 Conditional Variational Autoencoder for Learned Image Reconstruction C Zhang, R Barbano, B Jin
Computation 9 (11), 114, 2021
18 2021 Sampling-based inference for large linear models, with application to linearised Laplace J Antorán, S Padhy, R Barbano, E Nalisnick, D Janz, ...
International Conference on Learning Representations (ICLR), 2023, 2022
17 2022 Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior J Antorán, R Barbano, J Leuschner, JM Hernández-Lobato, B Jin
Transactions on Machine Learning Research (12/2023), 2022
13 * 2022 Steerable conditional diffusion for out-of-distribution adaptation in imaging inverse problems R Barbano, A Denker, H Chung, TH Roh, S Arrdige, P Maass, B Jin, ...
arXiv preprint arXiv:2308.14409, 2023
10 2023 Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction R Barbano, Ž Kereta, C Zhang, A Hauptmann, S Arridge, B Jin
NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020
10 2020 Score-based generative models for PET image reconstruction IRD Singh, A Denker, R Barbano, Ž Kereta, B Jin, K Thielemans, P Maass, ...
arXiv preprint arXiv:2308.14190, 2023
8 2023 Unsupervised Knowledge-Transfer for Learned Image Reconstruction R Barbano, Z Kereta, A Hauptmann, SR Arridge, B Jin
Inverse Problems 38 (10), 104004, 2022
8 2022 Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior R Barbano, J Leuschner, J Antorán, B Jin, JM Hernández-Lobato
Adaptive Experimental Design and Active Learning workshop at ICML 2022, 2022
8 2022 SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction M Nittscher, M Lameter, R Barbano, J Leuschner, B Jin, P Maass
Medical Imaging with Deep Learning, 2023, 2023
6 2023 Image Reconstruction via Deep Image Prior Subspaces R Barbano, J Antorán, J Leuschner, JM Hernández-Lobato, Ž Kereta, ...
Transactions on Machine Learning Research (1/2024), 2023
5 * 2023 A Probabilistic Deep Image Prior over Image Space R Barbano, J Antorán, JM Hernández-Lobato, B Jin
Fourth Symposium on Advances in Approximate Bayesian Inference, 2022
4 2022 DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised A Denker, F Vargas, S Padhy, K Didi, S Mathis, V Dutordoir, R Barbano, ...
arXiv preprint arXiv:2406.01781, 2024
3 2024 3D PET-DIP reconstruction with relative difference prior using a SIRF-based objective I Singh, R Barbano, Z Kereta, B Jin, K Thielemans, S Arridge
Fully3D, 2023
1 2023 Deep Image Prior PET Reconstruction using a SIRF-Based Objective IRD Singh, R Barbano, R Twyman, Ž Kereta, B Jin, S Arridge, ...
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022
1 2022 Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research V Sabanza-Gil, R Barbano, DP Gutiérrez, JS Luterbacher, ...
arXiv preprint arXiv:2410.00544, 2024
2024 Scalable Uncertainty Quantification and Learning for Deep Computed Tomography Reconstruction R Barbano
UCL (University College London), 2024
2024 
Bangti JinDepartment of Mathematics, The Chinese University of Hong KongПотвърден имейл адрес: math.cuhk.edu.hk
