End-to-end reconstruction meets data-driven regularization for inverse problems

7 June 2021

Subhadip Mukherjee

M. Carioni

Ozan Oktem

Carola-Bibiane Schönlieb

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Papers citing "End-to-end reconstruction meets data-driven regularization for inverse problems"

26 / 26 papers shown

Title
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport Taoran Zheng Xing Li Yan Yang Xiang Gu Zongben Xu Jian Sun MedIm 74 0 0 23 May 2025
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping Xiaojian Xu Weijie Gan Satya V. V. N. Kothapalli D. Yablonskiy Ulugbek S. Kamilov MedIm 141 5 0 21 Feb 2025
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction Xiaojian Xu Marc Klasky Michael T. McCann Jason Hu Jeffrey A. Fessler 3DPC MedIm 56 0 0 29 Sep 2024
Neural Incremental Data Assimilation Matthieu Blanke Ronan Fablet Marc Lelarge AI4CE 66 1 0 21 Jun 2024
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems Rafael Orozco Ali Siahkoohi M. Louboutin Felix J. Herrmann 72 2 0 08 May 2024
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 95 1 0 08 Apr 2024
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction Ishak Ayad Nicolas Larue Mai K. Nguyen 73 4 0 28 Feb 2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning Renan D. B. Brotto Jean-Michel Loubes Laurent Risser J. Florens K. Filho João Marcos Travassos Romano 64 1 0 23 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 72 0 0 19 Feb 2024
Learned reconstruction methods for inverse problems: sample error estimates Luca Ratti 60 0 0 21 Dec 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 78 4 0 15 Nov 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 86 12 0 22 Oct 2023
Provably Convergent Data-Driven Convex-Nonconvex Regularization Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb 102 5 0 09 Oct 2023
LCOT: Linear circular optimal transport Rocio Diaz Martin Ivan Medri Yikun Bai Xinran Liu Kangbai Yan Gustavo K. Rohde Soheil Kolouri 53 1 0 09 Oct 2023
Solving Low-Dose CT Reconstruction via GAN with Local Coherence Wenjie Liu MedIm 23 2 0 24 Sep 2023
Learning end-to-end inversion of circular Radon transforms in the partial radial setup Deep Ray Souvik Roy 48 0 0 27 Aug 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 67 4 0 17 Apr 2023
Learned Interferometric Imaging for the SPIDER Instrument Matthijs Mars M. Betcke Jason D. McEwen 47 3 0 24 Jan 2023
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 76 3 0 02 Nov 2022
Estimating a potential without the agony of the partition function E. Haber Moshe Eliasof L. Tenorio 61 2 0 19 Aug 2022
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 87 51 0 11 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 112 27 0 25 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 84 27 0 24 May 2022
Trust the Critics: Generatorless and Multipurpose WGANs with Initial Convergence Guarantees Tristan Milne Étienne Bilocq A. Nachman 31 3 0 30 Nov 2021
Stochastic Primal-Dual Deep Unrolling Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 96 4 0 19 Oct 2021
Deep Bayesian inference for seismic imaging with tasks Ali Siahkoohi G. Rizzuti Felix J. Herrmann BDL UQCV 97 21 0 10 Oct 2021