Cover Image

Compressibility Analysis for the differentiable shift-variant Filtered Backprojection Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ye, Chengze, Schneider, Linda-Sophie, Sun, Yipeng, Thies, Mareike, Maier, Andreas
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction
by: Sun, Yipeng, et al.
Published: (2024)

Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier Series
by: Sun, Yipeng, et al.
Published: (2024)

Segmentation-Guided Knee Radiograph Generation using Conditional Diffusion Models
by: Mei, Siyuan, et al.
Published: (2024)

Continuous Filtered Backprojection by Learnable Interpolation Network
by: Lin, Hui, et al.
Published: (2025)

Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
by: Sun, Yipeng, et al.
Published: (2025)

Learning Wavelet-Sparse FDK for 3D Cone-Beam CT Reconstruction
by: Sun, Yipeng, et al.
Published: (2025)

FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
by: Tasharofi, Farid, et al.
Published: (2025)

A 2D Sinogram-Based Approach to Defect Localization in Computed Tomography
by: Zhou, Yuzhong, et al.
Published: (2024)

A gradient-based approach to fast and accurate head motion compensation in cone-beam CT
by: Thies, Mareike, et al.
Published: (2024)

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

On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting
by: Wagner, Fabian, et al.
Published: (2022)

DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits
by: Ye, Chengze, et al.
Published: (2024)

Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology
by: Wilm, Frauke, et al.
Published: (2022)

Human Aligned Compression for Robust Models
by: Räber, Samuel, et al.
Published: (2025)

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
by: Islam, Md baharul, et al.
Published: (2025)

Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning
by: Liu, Daiqi, et al.
Published: (2025)

Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging
by: Kulyabin, Mikhail, et al.
Published: (2024)

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
by: Peng, Changhao, et al.
Published: (2025)

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion
by: Fan, Fuxin, et al.
Published: (2024)

AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation
by: Liu, Chang, et al.
Published: (2024)

Automated Segmentation and Analysis of Cone Photoreceptors in Multimodal Adaptive Optics Imaging
by: Shrestha, Prajol, et al.
Published: (2024)

CMamba: Learned Image Compression with State Space Models
by: Wu, Zhuojie, et al.
Published: (2025)

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
by: Liang, Yuanbang, et al.
Published: (2024)

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)

Generative Visual Compression: A Review
by: Chen, Bolin, et al.
Published: (2024)

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
by: Sun, Wei, et al.
Published: (2025)

Edge-based Denoising Image Compression
by: Morita, Ryugo, et al.
Published: (2024)

Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment
by: Liu, Yipeng, et al.
Published: (2025)

Unlocking the Potential of Digital Pathology: Novel Baselines for Compression
by: Fischer, Maximilian, et al.
Published: (2024)

A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
by: Ploner, Stefan, et al.
Published: (2024)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

Generative Human Video Compression with Multi-granularity Temporal Trajectory Factorization
by: Yin, Shanzhi, et al.
Published: (2024)

Lossy Compression with Pretrained Diffusion Models
by: Vonderfecht, Jeremy, et al.
Published: (2025)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

Embedding Compression Distortion in Video Coding for Machines
by: Sun, Yuxiao, et al.
Published: (2025)

Phase Guided Light Field for Spatial-Depth High Resolution 3D Imaging
by: Zhang, Geyou, et al.
Published: (2023)

Compressing Deep Image Super-resolution Models
by: Jiang, Yuxuan, et al.
Published: (2023)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

Lossy Image Compression with Foundation Diffusion Models
by: Relic, Lucas, et al.
Published: (2024)

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation
by: Rokuss, Maximilian, et al.
Published: (2025)