Learning Based Image Reconstruction

Learning-based image reconstruction leverages deep learning to improve the quality and speed of reconstructing images from incomplete or noisy data, particularly in medical imaging. Current research focuses on enhancing robustness by addressing out-of-distribution data and quantifying uncertainty in reconstructions, often employing architectures like UNet, variational networks, and deep unrolling methods within optimization frameworks. These advancements are crucial for improving diagnostic accuracy and reliability in applications such as MRI and CT, where accurate and trustworthy image reconstruction is paramount. The development of reproducible research tools, such as extensions to existing toolboxes, is also a significant area of focus.

Papers

May 12, 2023

Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Hongwei B. Li, Bruce R. Rosen, Matthew S. Rosen
Distribution Detection Uncertainty Estimation Magnetic Resonance Imaging Image Reconstruction Magnetic Resonance Imaging Denoising Learning Based Image Reconstruction Local Lipschitz

March 2, 2023

Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis
Wanyu Bian
Deep Learning Critical Synthesis dMRI Reconstruction Variational Model Magnetic Resonance Image Reconstruction Learning Based Image Reconstruction

September 27, 2022

Scaling Laws For Deep Learning Based Image Reconstruction
Tobit Klug, Reinhard Heckel
Deep Neural Network Super Resolution Deep Network Image Denoising Scaling Law Power Law Scaling Learning Based Image Reconstruction

July 2, 2022

Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci, Mujdat Cetin
Uncertainty Quantification Computational Imaging Deep Unrolling Learning Based Image Reconstruction

March 23, 2022

A Deep Learning Framework to Reconstruct Face under Mask
Gourango Modak, Shuvra Smaran Das, Md. Ajharul Islam Miraj, Md. Kishor Morol
Deep Learning Framework Mask Frozen DETR Binary Mask Face Reconstruction Mask R CNN Learning Based Image Reconstruction

February 28, 2022

Deep, Deep Learning with BART
Moritz Blumenthal, Guanxiong Luo, Martin Schilling, H. Christian M. Holme, Martin Uecker
Deep Learning Reconstruction Algorithm Learning Based Reconstruction Generative Transformer Model BART Learning Based Image Reconstruction