Cover Image

Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Heejong, Thanki, Abhishek, van Herten, Roel, Margolis, Daniel, Sabuncu, Mert R
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models
by: Kim, Heejong, et al.
Published: (2024)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
by: Wu, Ruoyou, et al.
Published: (2024)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2023)

A Multi-Grid Implicit Neural Representation for Multi-View Videos
by: Ling, Qingyue, et al.
Published: (2025)

AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy
by: Park, Seungbin, et al.
Published: (2026)

Sampling Theory for Super-Resolution with Implicit Neural Representations
by: Najaf, Mahrokh, et al.
Published: (2025)

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
by: Liu, Yi, et al.
Published: (2025)

Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI
by: Wu, Ruoyou, et al.
Published: (2025)

Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025)

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

QSMnet-INR: Single-Orientation Quantitative Susceptibility Mapping via Implicit Neural Representation in k-Space
by: Cai, Xuan, et al.
Published: (2025)

Multi-Resolution Data Fusion for Super Resolution Imaging
by: Reid, Emma J, et al.
Published: (2021)

Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution
by: Yang, Zhiyuan, et al.
Published: (2024)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
by: Do, Huu-Phu, et al.
Published: (2025)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
by: Fang, Wei, et al.
Published: (2024)

Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomography
by: Yao, Bowei, et al.
Published: (2024)

Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
by: Fu, Congrui, et al.
Published: (2024)

Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding
by: Chen, Haomiao, et al.
Published: (2025)

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
by: Yuan, Jiang, et al.
Published: (2025)

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging
by: Huang, Wenqi, et al.
Published: (2025)

GenMFSR: Generative Multi-Frame Image Restoration and Super-Resolution
by: Weligampola, Harshana, et al.
Published: (2026)

Neuromorphic Imaging with Super-Resolution
by: Zhang, Pei, et al.
Published: (2024)

Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
by: Janjušević, Nikola, et al.
Published: (2025)

INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction
by: Arefeen, Yamin, et al.
Published: (2024)

Subject-Specific Low-Field MRI Synthesis via a Neural Operator
by: Gao, Ziqi, et al.
Published: (2026)

ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction
by: Lozenski, Luke, et al.
Published: (2024)

Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by: Cicimen, Alp G., et al.
Published: (2024)

Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models
by: Chu, Jiayue, et al.
Published: (2024)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
by: Ekanayake, Mevan, et al.
Published: (2024)

NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
by: Xu, Zihao, et al.
Published: (2025)

The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
by: Vyas, Kushal, et al.
Published: (2026)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
by: Liu, Jianan, et al.
Published: (2022)

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
by: Hayami, Taiga, et al.
Published: (2025)

Multi-scale Attention Network for Single Image Super-Resolution
by: Wang, Yan, et al.
Published: (2022)

LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping
by: Liu, Yuanyuan, et al.
Published: (2024)

Hyperspectral Spatial Super-Resolution using Keystone Error
by: Garg, Ankur, et al.
Published: (2024)

Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism
by: Fang, Zhaomin, et al.
Published: (2024)

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

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis
by: Saraiva, Daniela, et al.
Published: (2025)