Copertina

Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Guixian, Wang, Huihui, Zhou, Qingping
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition 78A46, 68U10, 68T07
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography
di: Zhou, Qingping, et al.
Pubblicazione: (2023)

Diffusion assisted image reconstruction in optoacoustic tomography
di: González, M. G., et al.
Pubblicazione: (2024)

Neural-network methods for two-dimensional finite-source reflector design
di: Hacking, Roel, et al.
Pubblicazione: (2026)

Low-light phase retrieval with implicit generative priors
di: Manekar, Raunak, et al.
Pubblicazione: (2024)

Bayesian optimization approach for tracking the location and orientation of a moving target using far-field data
di: Lee, Woojoo, et al.
Pubblicazione: (2024)

Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
di: Zhou, Qingping, et al.
Pubblicazione: (2023)

Inverse Electromagnetic Scattering for Doubly-Connected Cylinders using Convolutional Neural Networks
di: Mindrinos, Leonidas, et al.
Pubblicazione: (2025)

Learning pseudo-contractive denoisers for inverse problems
di: Wei, Deliang, et al.
Pubblicazione: (2024)

Roughness and entropy measures of a soft set
di: Acharjee, Santanu, et al.
Pubblicazione: (2026)

$μ$NeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation
di: Zhao, Shihan, et al.
Pubblicazione: (2025)

EatGAN: An Edge-Attention Guided Generative Adversarial Network for Single Image Super-Resolution
di: Rao, Penghao, et al.
Pubblicazione: (2025)

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models
di: Rakib, Mazharul Islam, et al.
Pubblicazione: (2025)

An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention
di: Zhao, Shuo, et al.
Pubblicazione: (2025)

Approximation and Gradient Descent Training with Neural Networks
di: Welper, G.
Pubblicazione: (2024)

Multifractal Recalibration of Neural Networks for Medical Imaging Segmentation
di: Martins, Miguel L., et al.
Pubblicazione: (2025)

Isolated Sign Language Recognition with Segmentation and Pose Estimation
di: Perkins, Daniel, et al.
Pubblicazione: (2025)

Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing
di: Gad, Eyad, et al.
Pubblicazione: (2025)

A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
di: Kopriva, Ivica, et al.
Pubblicazione: (2024)

CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
di: Kang, Ming, et al.
Pubblicazione: (2024)

MaizeEar-SAM: Zero-Shot Maize Ear Phenotyping
di: Zaremehrjerdi, Hossein, et al.
Pubblicazione: (2025)

Lightweight MRI-Based Automated Segmentation of Pancreatic Cancer with Auto3DSeg
di: Jha, Keshav, et al.
Pubblicazione: (2025)

BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
di: Hu, Tianzheng, et al.
Pubblicazione: (2025)

A Physics-Inspired Deep Learning Framework with Polar Coordinate Attention for Ptychographic Imaging
di: Yue, Han, et al.
Pubblicazione: (2024)

Topological Invariant-Based Iris Identification via Digital Homology and Machine Learning
di: Öztel, Ahmet, et al.
Pubblicazione: (2025)

Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
di: Gruber, Nadja, et al.
Pubblicazione: (2023)

UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
di: Shi, Tangqi, et al.
Pubblicazione: (2025)

DOD-SA: Infrared-Visible Decoupled Object Detection with Single-Modality Annotations
di: Jin, Hang, et al.
Pubblicazione: (2025)

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection
di: Kang, Ming, et al.
Pubblicazione: (2023)

A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities
di: Kang, Ming, et al.
Pubblicazione: (2024)

Learning Sign Language Representation using CNN LSTM, 3DCNN, CNN RNN LSTM and CCN TD
di: Louison, Nikita, et al.
Pubblicazione: (2024)

To be or not to be stable, that is the question: understanding neural networks for inverse problems
di: Evangelista, Davide, et al.
Pubblicazione: (2022)

Hybrid SIFT-SNN for Efficient Anomaly Detection of Traffic Flow-Control Infrastructure
di: Rathee, Munish, et al.
Pubblicazione: (2025)

A Deep Learning-Enhanced Fourier Method for the Multi-Frequency Inverse Source Problem with Sparse Far-Field Data
di: Chen, Hao, et al.
Pubblicazione: (2026)

Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation
di: Preložnik, Domen, et al.
Pubblicazione: (2026)

A Machine Learning Approach for the Efficient Estimation of Ground-Level Air Temperature in Urban Areas
di: Delgado-Enales, Iñigo, et al.
Pubblicazione: (2024)

A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
di: Gad, Eyad, et al.
Pubblicazione: (2025)

ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation
di: Kang, Ming, et al.
Pubblicazione: (2023)

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
di: Kang, Ming, et al.
Pubblicazione: (2023)

MRI Brain Tumor Detection with Computer Vision
di: Krolik, Jack, et al.
Pubblicazione: (2025)

A comprehensive review and new taxonomy on superpixel segmentation
di: Barcelos, I. B., et al.
Pubblicazione: (2024)