Copertina

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ayad, Ishak, Larue, Nicolas, Nguyen, Maï K.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation
di: Yang, Jin, et al.
Pubblicazione: (2024)

UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction
di: Ayad, Ishak, et al.
Pubblicazione: (2024)

GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
di: Li, Daxin, et al.
Pubblicazione: (2024)

MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
di: Mitha, Samir, et al.
Pubblicazione: (2023)

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
di: Zhang, Junyan, et al.
Pubblicazione: (2024)

PoCGM: Poisson-Conditioned Generative Model for Sparse-View CT Reconstruction
di: Fang, Changsheng, et al.
Pubblicazione: (2025)

Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction
di: Braure, Thomas, et al.
Pubblicazione: (2023)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
di: Yang, Liutao, et al.
Pubblicazione: (2024)

3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
di: Li, Yingtai, et al.
Pubblicazione: (2023)

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing
di: Grzeszczyk, Michal K., et al.
Pubblicazione: (2024)

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
di: Tang, Fenghe, et al.
Pubblicazione: (2022)

Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction
di: Xu, Shuo, et al.
Pubblicazione: (2023)

Efficient Flow Matching for Sparse-View CT Reconstruction
di: Shi, Jiayang, et al.
Pubblicazione: (2026)

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View CT Reconstruction
di: Yuluo, Yikuang, et al.
Pubblicazione: (2025)

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
di: Tian, Xuanyu, et al.
Pubblicazione: (2025)

Fan-Beam CT Reconstruction for Unaligned Sparse-View X-ray Baggage Dataset
di: Kim, Shin
Pubblicazione: (2024)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
di: Lin, Yiqun, et al.
Pubblicazione: (2024)

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction
di: Lin, Yiqun, et al.
Pubblicazione: (2025)

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
di: Fang, Changsheng, et al.
Pubblicazione: (2025)

Latent Space Consistency for Sparse-View CT Reconstruction
di: Chen, Duoyou, et al.
Pubblicazione: (2025)

Deep Inertia $L_p$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
di: Guo, Yu, et al.
Pubblicazione: (2024)

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
di: Yu, Pengfei, et al.
Pubblicazione: (2025)

Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction
di: Barba, Luis, et al.
Pubblicazione: (2026)

LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
di: Tran, Ngoc-Du, et al.
Pubblicazione: (2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
di: Xu, Xiaojian, et al.
Pubblicazione: (2024)

Resolution-Independent Neural Operators for Multi-Rate Sparse-View CT
di: Datta, Aujasvit, et al.
Pubblicazione: (2025)

Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction
di: Chen, Hanyu, et al.
Pubblicazione: (2024)

Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
di: Liu, Zhentao, et al.
Pubblicazione: (2023)

DVG-Diffusion: Dual-View Guided Diffusion Model for CT Reconstruction from X-Rays
di: Xie, Xing, et al.
Pubblicazione: (2025)

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
di: Lin, Yiqun, et al.
Pubblicazione: (2024)

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
di: Chen, Zini, et al.
Pubblicazione: (2025)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
di: Lin, Tianyu, et al.
Pubblicazione: (2025)

Structure-Aware Sparse-View X-ray 3D Reconstruction
di: Cai, Yuanhao, et al.
Pubblicazione: (2023)

Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
di: Liu, Chang, et al.
Pubblicazione: (2024)

TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
di: Bubba, Tatiana A., et al.
Pubblicazione: (2025)

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
di: Li, Haodong, et al.
Pubblicazione: (2025)

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays
di: Qiao, Zhi, et al.
Pubblicazione: (2024)

X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second
di: Zhang, Guofeng, et al.
Pubblicazione: (2025)

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
di: Su, Shiyan, et al.
Pubblicazione: (2026)

GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis
di: Nikolakakis, Emmanouil, et al.
Pubblicazione: (2024)