Copertina

Deep Learning for Gradient and BCG Artifacts Removal in EEG During Simultaneous fMRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shahriar, K. A., Bhuiyan, E. H., Luo, Q., Chowdhury, M. E. H., Zhou, X. J.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reconstructing physiological signals from fMRI across the adult lifespan
di: Wang, Shiyu, et al.
Pubblicazione: (2024)

Novel Models for High-Dimensional Imaging: High-Resolution fMRI Acceleration and Quantification
di: Guo, Shouchang
Pubblicazione: (2024)

Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS
di: Jun, Yohan, et al.
Pubblicazione: (2023)

Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
di: Patel, Jaykumar H., et al.
Pubblicazione: (2024)

Dynamic MRI Reconstruction Via Dual Deep Priors and Low-Rank Plus Sparse Modeling
di: Sun, Yongliang, et al.
Pubblicazione: (2026)

Motion-robust free-running volumetric cardiovascular MRI
di: Arshad, Syed M., et al.
Pubblicazione: (2023)

MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRI
di: Chen, Yuting, et al.
Pubblicazione: (2025)

Histogram Specification by Assignment of Optimal Unique Values
di: Ramos, V. S., et al.
Pubblicazione: (2021)

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
di: Yu, Hongze, et al.
Pubblicazione: (2025)

Parametric Modeling and Estimation of Photon Registrations for 3D Imaging
di: Zhang, Weijian, et al.
Pubblicazione: (2024)

An Optimized Binning and Probabilistic Slice Sharing Algorithm for Motion Correction in Abdominal DW-MRI
di: Su, Michelle, et al.
Pubblicazione: (2024)

A Feasibility Study of Task-Based fMRI at 0.55 T
di: Razmara, Parsa, et al.
Pubblicazione: (2025)

GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention
di: Janjusevic, Nikola, et al.
Pubblicazione: (2024)

SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS
di: Jun, Yohan, et al.
Pubblicazione: (2023)

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis
di: Duan, Peiyu, et al.
Pubblicazione: (2026)

EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection
di: Arshad, Syed M., et al.
Pubblicazione: (2025)

Causal Modeling of fMRI Time-series for Interpretable Autism Spectrum Disorder Classification
di: Duan, Peiyu, et al.
Pubblicazione: (2025)

Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems
di: Oved, Tal, et al.
Pubblicazione: (2025)

MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
di: Chowdhury, Mohammad Samin Nur, et al.
Pubblicazione: (2025)

TITAN: Bringing The Deep Image Prior to Implicit Representations
di: Luzi, Lorenzo, et al.
Pubblicazione: (2022)

Deep, convergent, unrolled half-quadratic splitting for image deconvolution
di: Zhao, Yanan, et al.
Pubblicazione: (2024)

Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography
di: Chowdhury, Mohammad Samin Nur, et al.
Pubblicazione: (2023)

Fast Hyperspectral Neutron Tomography
di: Chowdhury, Mohammad Samin Nur, et al.
Pubblicazione: (2024)

A Deep Automotive Radar Detector using the RaDelft Dataset
di: Roldan, Ignacio, et al.
Pubblicazione: (2024)

Deep Learning Methods for Device Identification Using Symbols Trace Plot
di: Huang, Da, et al.
Pubblicazione: (2023)

Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data
di: Saffarpour, Mahya, et al.
Pubblicazione: (2024)

In-Context Learning for Deep Joint Source-Channel Coding Over MIMO Channels
di: Hua, Meng, et al.
Pubblicazione: (2025)

A Deep Convolutional Network to Extract Real-Time Landmarks for UAV Navigation
di: Tokluoglu, Osman, et al.
Pubblicazione: (2026)

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging
di: Xue, Hui, et al.
Pubblicazione: (2025)

Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
di: Chowdhury, Mohammad Samin Nur, et al.
Pubblicazione: (2024)

Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising
di: Xie, Jianxin, et al.
Pubblicazione: (2024)

Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach
di: Sharifzadeh, Mostafa, et al.
Pubblicazione: (2023)

Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture
di: Hashemi, Seyed Hesam Odin, et al.
Pubblicazione: (2022)

Learned Hemodynamic Coupling Inference in Resting-State Functional MRI
di: Consagra, William, et al.
Pubblicazione: (2026)

Removing Structured Noise with Diffusion Models
di: Stevens, Tristan S. W., et al.
Pubblicazione: (2023)

A Deep Learning-Augmented Stand-off Radar Scheme for Rapidly Detecting Tree Defects
di: Qian, Jiwei, et al.
Pubblicazione: (2024)

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning
di: Chen, Z., et al.
Pubblicazione: (2026)

Transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients
di: Yan, Jipeng, et al.
Pubblicazione: (2023)

AI-Driven Radio Propagation Prediction in Automated Warehouses using Variational Autoencoders
di: Gulia, Rahul, et al.
Pubblicazione: (2025)

MR-Compass: Inertial Navigation-Driven Motion Correction for Brain MRI
di: Arslan, Musa Tunc, et al.
Pubblicazione: (2026)