Copertina

A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hamlomo, Sisipho, Atemkeng, Marcellin, Brima, Yusuf, Nunhokee, Chuneeta, Baxter, Jeremy
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Clustering-Based Low-Rank Matrix Approximation for Medical Image Compression
di: Hamlomo, Sisipho, et al.
Pubblicazione: (2025)

An Empirical Study of Machine Learning Robustness and Scalability for Imbalanced Tabular Clinical Data in Emergency and Critical Care
di: Brima, Yusuf, et al.
Pubblicazione: (2025)

WaRA: Wavelet Low Rank Adaptation
di: Heidari, Moein, et al.
Pubblicazione: (2025)

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation
di: He, Guanghua, et al.
Pubblicazione: (2025)

MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation
di: Aalishah, Romina, et al.
Pubblicazione: (2025)

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
di: Li, Dongyi, et al.
Pubblicazione: (2024)

Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric
di: Chen, Haiyang, et al.
Pubblicazione: (2023)

Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
di: Patel, Jaykumar H., et al.
Pubblicazione: (2024)

HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
di: Liu, Fengbei, et al.
Pubblicazione: (2026)

SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
di: You, Xin, et al.
Pubblicazione: (2024)

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

Low-Rank Adaptation of Pre-trained Vision Backbones for Energy-Efficient Image Coding for Machine
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution
di: Korkmaz, Cansu, et al.
Pubblicazione: (2025)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
di: Zhang, Li, et al.
Pubblicazione: (2024)

Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging
di: Chen, Jingkun, et al.
Pubblicazione: (2025)

SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation
di: Elsayed, Abdelrahman, et al.
Pubblicazione: (2025)

Nuclear Diffusion Models for Low-Rank Background Suppression in Videos
di: Stevens, Tristan S. W., et al.
Pubblicazione: (2025)

Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
di: Babu, Silpa, et al.
Pubblicazione: (2022)

Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
di: Babu, Silpa, et al.
Pubblicazione: (2022)

A Systematic Review of Generalization Research in Medical Image Classification
di: Matta, Sarah, et al.
Pubblicazione: (2024)

Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
di: Wang, Yunxuan, et al.
Pubblicazione: (2025)

AdaLoRA-QAT: Adaptive Low-Rank and Quantization-Aware Segmentation
di: Deb, Prantik, et al.
Pubblicazione: (2026)

Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D Diffusion MRI
di: Baul, Abhijit, et al.
Pubblicazione: (2021)

Compressed BC-LISTA via Low-Rank Convolutional Decomposition
di: Wang, Han, et al.
Pubblicazione: (2026)

DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
di: Huang, Yuliang, et al.
Pubblicazione: (2025)

Dynamic MRI Reconstruction Via Dual Deep Priors and Low-Rank Plus Sparse Modeling
di: Sun, Yongliang, et al.
Pubblicazione: (2026)

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
di: Kebaili, Aghiles, et al.
Pubblicazione: (2023)

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
di: Zhao, Haoyu, et al.
Pubblicazione: (2024)

Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction
di: Zhang, Haonan, et al.
Pubblicazione: (2025)

When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis
di: Moradizeyveh, Sahar, et al.
Pubblicazione: (2024)

RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training
di: Feng, Chen, et al.
Pubblicazione: (2022)

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
di: Lyu, Pengfei, et al.
Pubblicazione: (2025)

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection
di: Li, Chenyu, et al.
Pubblicazione: (2024)

Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
di: Ashtari, Pooya, et al.
Pubblicazione: (2024)

A Systematic Review on Data-Driven Brain Deformation Modeling for Image-Guided Neurosurgery
di: Assis, Tiago, et al.
Pubblicazione: (2026)

Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
di: Gajamannage, Kelum, et al.
Pubblicazione: (2022)

Denoising Diffusion Models for Anomaly Localization in Medical Images
di: Bercea, Cosmin I., et al.
Pubblicazione: (2024)

Segmenting Medical Images with Limited Data
di: Liua, Zhaoshan, et al.
Pubblicazione: (2024)

Linear Algebraic Approaches to Neuroimaging Data Compression: A Comparative Analysis of Matrix and Tensor Decomposition Methods for High-Dimensional Medical Images
di: Kim, Jaeho, et al.
Pubblicazione: (2025)

Troublemaker Learning for Low-Light Image Enhancement
di: Song, Yinghao, et al.
Pubblicazione: (2024)