Cover Image

High-quality tomographic image reconstruction integrating neural networks and mathematical optimization

Fuente: Zenodo

Saved in:

Bibliographic Details
Main Author:	Mishra, Anuraag
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonlinear tomographic reconstruction via nonsmooth optimization
by: Charisopoulos, Vasileios, et al.
Published: (2024)

Notes on the primal-dual algorithm for convex optimization applied to X-ray tomographic image reconstruction
by: Sidky, Emil Y., et al.
Published: (2026)

Iterative tomographic reconstruction with TV prior for low-dose CBCT dental imaging
by: Friot-Giroux, Louise, et al.
Published: (2024)

Hitting Time Distributions of Random Walks on Finite Graphs
by: Kumar, Anuraag
Published: (2025)

Computer-Based Education for Patients with Hypertension: A Systematic Review
by: Saksena, Anuraag
Published: (2010)

Quantum compressed sensing tomographic reconstruction algorithm
by: Ryou, Arim, et al.
Published: (2025)

Classification and reconstruction for single-pixel imaging with classical and quantum neural networks
by: Manko, Sofya, et al.
Published: (2024)

High-Quality Tomographic Image Reconstruction Integrating Neural Networks and Mathematical Optimization
by: Mishra, Anuraag, et al.
Published: (2025)

Dual-species atomic absorption image reconstruction using deep neural networks
by: Lee, Kyuhwan, et al.
Published: (2025)

Searching optimal scales for reconstructing cosmological initial conditions using convolutional neural networks
by: Nakashima, Koichiro, et al.
Published: (2025)

A primal-dual algorithm for image reconstruction with input-convex neural network regularizers
by: Ehrhardt, Matthias J., et al.
Published: (2024)

QSP ‐Copilot: An AI ‐Augmented Platform for Accelerating Quantitative Systems Pharmacology Model Development
by: Anuraag Saini, et al.
Published: (2025)

Experimental demonstration of a tomographic 5D phase-space reconstruction
by: Jaster-Merz, S., et al.
Published: (2025)

Scale-invariant projection optimization in tomographic volumetric additive manufacturing
by: Woo, Seungpyo, et al.
Published: (2026)

Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI
by: Siedler, Thomas M., et al.
Published: (2022)

Enhancing quality and speed in database‐free neural network reconstructions of undersampled MRI with SCAMPI
by: Thomas M. Siedler, et al.
Published: (2024)

Super‐resolution reconstruction of MR vessel wall images using a deep neural network
by: Wenjing Xu, et al.
Published: (2025)

Accurate, provable and fast polychromatic tomographic reconstruction: A variational inequality approach
by: Lou, Mengqi, et al.
Published: (2025)

Revisiting $Ψ$DONet: microlocally inspired filters for incomplete-data tomographic reconstructions
by: Bubba, Tatiana A., et al.
Published: (2025)

Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning
by: Kang, Iksung, et al.
Published: (2020)

A mathematical theory for understanding when abstract representations emerge in neural networks
by: Wang, Bin, et al.
Published: (2025)

To secure an e‐commerce system using epidemic mathematical modeling with neural network
by: Kumar Sachin Yadav, et al.
Published: (2024)

Enhanced cast-128 with adaptive s-box optimization via neural networks for image protection
by: Fadhil, Fadhil Abbas, et al.
Published: (2025)

MSPINN: Multiple scale method integrated physics-informed neural networks for reconstructing transient natural convection
by: Ohashi, Nagahiro, et al.
Published: (2024)

3D tomographic imaging of skyrmionic cocoons using HERALDO
by: Chiliquinga-Jacome, Jhon J., et al.
Published: (2026)

Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging
by: Xu, Shiqi, et al.
Published: (2023)

Coherent terahertz field tomographic imaging in warm Rydberg vapors
by: Nowosielski, Jan, et al.
Published: (2026)

Memory-efficient optimization of implicit neural representations for CT reconstruction
by: Najaf, Mahrokh, et al.
Published: (2026)

Fault detection in solar thermal images using Convolutional neural network and hybrid optimization approach
by: T. Tamilselvi, et al.
Published: (2025)

Non-utopian optical properties computed of a tomographically reconstructed real photonic nanostructure
by: van Willenswaard, Lars J. Corbijn, et al.
Published: (2024)

Scalable neural network-based blackbox optimization
by: Koratikere, Pavankumar, et al.
Published: (2025)

Towards optimal hierarchical training of neural networks
by: Feischl, Michael, et al.
Published: (2024)

NeDF: neural deflection fields for sparse-view tomographic background oriented Schlieren
by: Li, Jiawei, et al.
Published: (2024)

Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
by: Aamir, M., et al.
Published: (2024)

Do we need individualized interslice intervals for exoanal tomographic imaging?
by: H. P. Dietz, et al.
Published: (2025)

VIP -- Variational Inversion Package with example implementations of Bayesian tomographic imaging
by: Zhang, Xin, et al.
Published: (2023)

Coherent optical two-photon resonance tomographic imaging in three dimensions
by: Mazelanik, Mateusz, et al.
Published: (2022)

Light-scattering reconstruction of transparent shapes using neural networks
by: Miara, Tymoteusz, et al.
Published: (2023)

Artificial neural networks reconstruct missing perikymata in worn teeth
by: Mario Modesto‐Mata, et al.
Published: (2024)

Universality of physical neural networks with multivariate nonlinearity
by: Savinson, Benjamin, et al.
Published: (2025)