Articles with public access mandates - Subhadip MukherjeeLearn more
Not available anywhere: 1
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems
Z Cai, J Tang, S Mukherjee, J Li, CB Schönlieb, X Zhang
SIAM Journal on Imaging Sciences 17 (2), 820-860, 2024
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Available somewhere: 14
End-to-end reconstruction meets data-driven regularization for inverse problems
S Mukherjee, M Carioni, O Öktem, CB Schönlieb
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Data-driven mirror descent with input-convex neural networks
HY Tan, S Mukherjee, J Tang, CB Schönlieb
accepted to the SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Provably convergent plug-and-play quasi-Newton methods
HY Tan, S Mukherjee, J Tang, CB Schönlieb
SIAM Journal on Imaging Sciences 17 (2), 785-819, 2024
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Deep learning-based Segmentation of Multi-site Disease in Ovarian Cancer
T Buddenkotte, L Rundo, R Woitek, L Escudero Sanchez, L Beer, ...
medRxiv, 2023
Mandates: US National Institutes of Health, Cancer Research UK, UK Engineering and …
Convergent regularization in inverse problems and linear plug-and-play denoisers
A Hauptmann, S Mukherjee, CB Schönlieb, F Sherry
arXiv:2307.09441, 2023
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers
V Stergiopoulou, S Mukherjee, L Calatroni, L Blanc-Féraud
International Conference on Scale Space and Variational Methods in Computer …, 2023
Mandates: European Commission, Agence Nationale de la Recherche
INSIDEnet: Interpretable nonexpansive data‐efficient network for denoising in grating interferometry breast CT
S van Gogh, Z Wang, M Rawlik, C Etmann, S Mukherjee, CB Schönlieb, ...
Medical physics 49 (6), 3729-3748, 2022
Mandates: Swiss National Science Foundation
DNNs for sparse coding and dictionary learning
S Mukherjee, D Mahapatra, CS Seelamantula
NIPS Bayesian Deep Learning Workshop, 2017
Mandates: Department of Science & Technology, India
Towards clinical-dose grating interferometry breast CT with fused intensity-based iterative reconstruction
S Van Gogh, M Rawlik, A Pereira, S Spindler, S Mukherjee, MC Zdora, ...
Optics Express 31 (5), 9052-9071, 2023
Mandates: Swiss National Science Foundation
Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior
S van Gogh, S Mukherjee, J Xu, Z Wang, M Rawlik, Z Varga, R Alaifari, ...
Plos one 17 (9), e0272963, 2022
Mandates: Swiss National Science Foundation
Data-driven gradient regularization for quasi-newton optimization in iterative grating interferometry CT reconstruction
S Van Gogh, S Mukherjee, M Rawlik, A Pereira, S Spindler, MC Zdora, ...
IEEE Transactions on Medical Imaging, 2023
Mandates: Swiss National Science Foundation
Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems
J Tang, G Xu, S Mukherjee, CB Schönlieb
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
MS Salehi, S Mukherjee, L Roberts, MJ Ehrhardt
Mandates: UK Engineering and Physical Sciences Research Council
Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems
J Tang, S Mukherjee, CB Schönlieb
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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