Copertina

Supervised Reconstruction for Silhouette Tomography

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bell, Evan, McCann, Michael T., Klasky, Marc
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

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

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
di: Gan, Weijie, et al.
Pubblicazione: (2023)

Deep Parameter Interpolation for Scalar Conditioning
di: Park, Chicago Y., et al.
Pubblicazione: (2025)

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
di: Liang, Shijun, et al.
Pubblicazione: (2024)

Plug-and-Play Priors as a Score-Based Method
di: Park, Chicago Y., et al.
Pubblicazione: (2024)

See Silhouettes in Motion with Neuromorphic Vision
di: Zhang, Pei, et al.
Pubblicazione: (2026)

Score-based Diffusion Models for Bayesian Image Reconstruction
di: McCann, Michael T., et al.
Pubblicazione: (2023)

RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
di: Iskender, Berk, et al.
Pubblicazione: (2023)

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
di: Liang, Shijun, et al.
Pubblicazione: (2024)

DYRECT Computed Tomography: DYnamic Reconstruction of Events on a Continuous Timescale
di: Goethals, Wannes, et al.
Pubblicazione: (2024)

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

Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction
di: Bell, Evan, et al.
Pubblicazione: (2025)

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

Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention
di: Li, Zhenghong, et al.
Pubblicazione: (2024)

TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography
di: Xu, Di, et al.
Pubblicazione: (2024)

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
di: Liu, Yifan, et al.
Pubblicazione: (2025)

Self-Supervised Training For Low Dose CT Reconstruction
di: Unal, Mehmet Ozan, et al.
Pubblicazione: (2020)

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
di: Korkmaz, Yilmaz, et al.
Pubblicazione: (2023)

Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
di: Seibel, Marc S., et al.
Pubblicazione: (2024)

Prompt-Guided Patch UNet-VAE with Adversarial Supervision for Adrenal Gland Segmentation in Computed Tomography Medical Images
di: Ghouse, Hania, et al.
Pubblicazione: (2025)

Deep learning Based Correction Algorithms for 3D Medical Reconstruction in Computed Tomography and Macroscopic Imaging
di: Les, Tomasz, et al.
Pubblicazione: (2026)

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
di: Safari, Mojtaba, et al.
Pubblicazione: (2024)

Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
di: Sun, Liyan, et al.
Pubblicazione: (2025)

Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction
di: Duba-Sullivan, Haley, et al.
Pubblicazione: (2025)

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

Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
di: Pei, Haoyang, et al.
Pubblicazione: (2025)

RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging
di: Iskender, Berk, et al.
Pubblicazione: (2025)

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
di: Wodzinski, Marek, et al.
Pubblicazione: (2024)

A Gaussian Parameterization for Direct Atomic Structure Identification in Electron Tomography
di: Singh, Nalini M., et al.
Pubblicazione: (2025)

Learned Regularization for Microwave Tomography
di: Tong, Bowen, et al.
Pubblicazione: (2025)

Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
di: Zhang, Hao, et al.
Pubblicazione: (2025)

Stochastic Generative Plug-and-Play Priors
di: Park, Chicago Y., et al.
Pubblicazione: (2026)

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

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
di: Chen, Jingjia, et al.
Pubblicazione: (2025)

Vision Foundation Models for Computed Tomography
di: Pai, Suraj, et al.
Pubblicazione: (2025)

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

From Pixel to Cancer: Cellular Automata in Computed Tomography
di: Lai, Yuxiang, et al.
Pubblicazione: (2024)

Intensity Field Decomposition for Tissue-Guided Neural Tomography
di: Li, Meng-Xun, et al.
Pubblicazione: (2024)

Diff-INR: Generative Regularization for Electrical Impedance Tomography
di: Tong, Bowen, et al.
Pubblicazione: (2024)

On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation
di: Thies, Mareike, et al.
Pubblicazione: (2024)