Cover Image

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Wei, Tang, Yuxing, Guo, Heng, Yuan, Mingze, Mok, Tony C. W., Yan, Ke, Yao, Jiawen, Chen, Xin, Liu, Zaiyi, Lu, Le, Zhang, Ling, Xu, Minfeng
Format:	Preprint
Published:	2024
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

Nexus-INR: Diverse Knowledge-guided Arbitrary-Scale Multimodal Medical Image Super-Resolution
by: Zhang, Bo, et al.
Published: (2025)

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

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

Arbitrary Scale Super-Resolution Assisted Lunar Crater Detection in Satellite Images
by: Tewari, Atal, et al.
Published: (2024)

Sampling Theory for Super-Resolution with Implicit Neural Representations
by: Najaf, Mahrokh, 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)

CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images
by: Pascale, Michele, et al.
Published: (2023)

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

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

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

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
by: Wei, Meiyi, et al.
Published: (2024)

CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution
by: Chen, Zixuan, et al.
Published: (2023)

Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle
by: Lowes, Mathias Micheelsen, et al.
Published: (2025)

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-View MRI Super-Resolution via Implicit Neural Representations
by: Kim, Heejong, et al.
Published: (2026)

Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components
by: Akita, Kazutoshi, et al.
Published: (2024)

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging
by: Wu, Yinzhe, et al.
Published: (2023)

Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
by: Li, Zelin, et al.
Published: (2025)

Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
by: Thaker, Darshan, et al.
Published: (2026)

Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks
by: Tsai, Yi Ting, et al.
Published: (2025)

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
by: Wu, Hanlin, et al.
Published: (2024)

CMISR: Circular Medical Image Super-Resolution
by: Li, Honggui, et al.
Published: (2023)

3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN
by: Ha, Juhyung, et al.
Published: (2024)

DiV-INR: Extreme Low-Bitrate Diffusion Video Compression with INR Conditioning
by: Çetin, Eren, et al.
Published: (2026)

Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
by: Chen, Du, et al.
Published: (2025)

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

Arbitrary Volumetric Refocusing of Dense and Sparse Light Fields
by: Samarakoon, Tharindu, et al.
Published: (2025)

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
by: Kui, Xiaoyan, et al.
Published: (2025)

RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations
by: Dummer, Sven, et al.
Published: (2023)

INR meets Multi-Contrast MRI Reconstruction
by: Niessen, Natascha, et al.
Published: (2025)

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

Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks
by: Bougaham, Arnaud, et al.
Published: (2023)

Versatile Volumetric Medical Image Coding for Human-Machine Vision
by: Chen, Jietao, et al.
Published: (2024)

An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
by: Xie, Lei, et al.
Published: (2025)

MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
by: Wang, Shu, et al.
Published: (2025)

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

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
by: Bai, Bizhe, et al.
Published: (2024)

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

MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction
by: Wu, Yinzhe, et al.
Published: (2026)

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
by: Zhang, Yuehan, et al.
Published: (2024)