Cover Image

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Serino, Daniel A., Klasky, Marc L., Nadiga, Balasubramanya T., Xu, Xiaojian, Wilcox, Trevor
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography
by: Gautam, Siddhant, et al.
Published: (2024)

Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling
by: Messenger, Daniel, et al.
Published: (2025)

Score-based Diffusion Models for Bayesian Image Reconstruction
by: McCann, Michael T., et al.
Published: (2023)

Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling
by: Iskender, Berk, et al.
Published: (2022)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
by: Xu, Xiaojian, et al.
Published: (2024)

Supervised Reconstruction for Silhouette Tomography
by: Bell, Evan, et al.
Published: (2024)

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
by: Serino, Daniel A., et al.
Published: (2024)

Application of attention-based Siamese composite neural network in medical image recognition
by: Huang, Zihao, et al.
Published: (2023)

PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
by: Kamran, Sharif A., et al.
Published: (2025)

Estimation of non-uniform motion blur using a patch-based regression convolutional neural network (CNN)
by: Varela, Luis G., et al.
Published: (2024)

Reconstruction of partially occluded objects with a physics-driven self-training neural network
by: Xiang, Mingjun, et al.
Published: (2024)

Fire in SRRN: Next-Gen 3D Temperature Field Reconstruction Technology
by: Feng, Shenxiang, et al.
Published: (2024)

Estimation of motion blur kernel parameters using regression convolutional neural networks
by: Varela, Luis G., et al.
Published: (2023)

Estimating temperatures with low-cost infrared cameras using deep neural networks
by: Oz, Navot, et al.
Published: (2023)

Material Identification From Radiographs Without Energy Resolution
by: McCann, Michael T., et al.
Published: (2023)

Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
by: Hong, Tao, et al.
Published: (2024)

RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
by: Iskender, Berk, et al.
Published: (2023)

LUMEN: Low-light Unified Multi-stage Enhancement Network using depth-guided flash, clustering, and attention-based Transformers
by: Debnath, Bibhabasu, et al.
Published: (2026)

χ-sepnet: Deep neural network for magnetic susceptibility source separation
by: Kim, Minjun, et al.
Published: (2024)

Spiking neural networks: Towards bio-inspired multimodal perception in robotics
by: Oikonomou, Katerina Maria, et al.
Published: (2024)

Multi-modal deformable image registration using untrained neural networks
by: Nguyen, Quang Luong Nhat, et al.
Published: (2024)

Atomic number estimation of dual energy cargo radiographs using a semiempirical transparency model
by: Lalor, Peter, et al.
Published: (2023)

Three-dimensional neural network driving self-interference digital holography enables high-fidelity, non-scanning volumetric fluorescence microscopy
by: Man, Tianlong, et al.
Published: (2025)

Unsupervised patch-based dynamic MRI reconstruction using learnable tensor function with implicit neural representation
by: Liu, Yuanyuan, et al.
Published: (2025)

Reconstruction-free segmentation from undersampled k-space using transformers
by: Zhang, Yundi, et al.
Published: (2025)

A reproducible 3D convolutional neural network with dual attention module (3D-DAM) for Alzheimer's disease classification
by: Hoang, Gia Minh, et al.
Published: (2023)

DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
by: Saunders, Adam M., et al.
Published: (2025)

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
by: Xu, Siying, et al.
Published: (2026)

Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
by: Alkhimova, Svitlana, et al.
Published: (2023)

Designing robust diffractive neural networks with improved transverse shift tolerance
by: Soshnikov, Daniil V., et al.
Published: (2024)

Boosting multiple sclerosis lesion segmentation through attention mechanism
by: Rondinella, Alessia, et al.
Published: (2023)

Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
by: Millard, Charles, et al.
Published: (2022)

An event-based implementation of saliency-based visual attention for rapid scene analysis
by: Chane, Camille Simon, et al.
Published: (2024)

Design of diffractive neural networks solving different classification problems at different wavelengths
by: Motz, Georgy A., et al.
Published: (2024)

Reconstruction of three-dimensional shapes of normal and disease-related erythrocytes from partial observations using multi-fidelity neural networks
by: Wen, Haizhou, et al.
Published: (2025)

Passive freeze-out of the Richtmyer-Meshkov instability
by: Strucka, J., et al.
Published: (2026)

Self-supervised feature learning for cardiac Cine MR image reconstruction
by: Xu, Siying, et al.
Published: (2025)

Embedded event based object detection with spiking neural network
by: Courtois, Jonathan, et al.
Published: (2024)

Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet
by: Khatun, Rupali, et al.
Published: (2023)

Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration
by: Chen, Xiaojian, et al.
Published: (2025)