Equivariant Imaging: Learning Beyond the Range Space

26 March 2021

Dongdong Chen

Julián Tachella

Mike E. Davies

SSL

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Papers citing "Equivariant Imaging: Learning Beyond the Range Space"

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Title
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for MRI Reconstruction without High-Quality Training Reference Haoyang Pei Ding Xia Xiang Xu William Moore Yao Wang Hersh Chandarana Li Feng 34 0 0 09 May 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging M. Terris Samuel Hurault Maxime Song Julian Tachella MedIm DiffM 75 2 0 11 Mar 2025
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction Andrew Wang Steven McDonagh Mike Davies OOD SSL 114 0 0 19 Feb 2025
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance Andrew Wang Mike Davies MedIm 32 2 0 11 Oct 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds Hong Ye Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 57 0 0 13 Aug 2024
From Learning to Optimize to Learning Optimization Algorithms Camille Castera Peter Ochs 65 1 0 28 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 73 1 0 08 Apr 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 36 1 0 01 Jan 2024
Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction Hang Xu A. Perelli 18 1 0 19 Dec 2023
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 31 11 0 22 Oct 2023
Deep Physics-Guided Unrolling Generalization for Compressed Sensing Bin Chen Jie Song Jingfen Xie Jian Zhang AI4CE 22 14 0 18 Jul 2023
Single-photon Image Super-resolution via Self-supervised Learning Yiwei Chen Chenbo Jiang Yu Pan 19 2 0 03 Mar 2023
Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction Hengrong Lan Lijie Huang Zhiqiang Li Jing Lv Jianwen Luo ViT OOD 40 1 0 17 Jan 2023
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 36 21 0 29 Sep 2022
Imaging with Equivariant Deep Learning Dongdong Chen Mike Davies Matthias Joachim Ehrhardt Carola-Bibiane Schönlieb Ferdia Sherry Julián Tachella 22 28 0 05 Sep 2022
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction Elena Sizikova Xu Cao A. Lewis K. Moise Megan Coffee 25 3 0 23 Aug 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction Beliz Gunel Arda Sahiner Arjun D Desai Akshay S. Chaudhari S. Vasanawala Mert Pilanci John M. Pauly MedIm 14 7 0 21 Apr 2022
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 27 24 0 23 Mar 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 25 5 0 22 Feb 2022
Equivariance Regularization for Image Reconstruction Junqi Tang 24 2 0 10 Feb 2022
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 25 60 0 25 Nov 2021
Stochastic Primal-Dual Deep Unrolling Junqi Tang Subhadip Mukherjee Carola-Bibiane Schönlieb 24 4 0 19 Oct 2021
Improving Transformation Invariance in Contrastive Representation Learning Adam Foster Rattana Pukdee Tom Rainforth 53 22 0 19 Oct 2020