:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gao, Ziqi, Yang, Wendi, Li, Yujia, Xing, Lei, Zhou, S. Kevin
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.23577
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive field
by: Gao, Ziqi, et al.
Published: (2023)

MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
by: Gao, Ziqi, et al.
Published: (2024)

Longitudinal Causal Image Synthesis
by: Li, Yujia, et al.
Published: (2024)

SEL-CIE: Knowledge-Guided Self-Supervised Learning Framework for CIE-XYZ Reconstruction from Non-Linear sRGB Images
by: Barzel, Shir, et al.
Published: (2024)

Supervised Reconstruction for Silhouette Tomography
by: Bell, Evan, et al.
Published: (2024)

Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
by: Yang, Chenxi, et al.
Published: (2024)

DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
by: Gao, Ziqi, et al.
Published: (2024)

Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
by: Zheng, Taoran, et al.
Published: (2025)

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

Cross-conditioned Diffusion Model for Medical Image to Image Translation
by: Xing, Zhaohu, et al.
Published: (2024)

NeRF-based CBCT Reconstruction needs Normalization and Initialization
by: Xu, Zhuowei, et al.
Published: (2025)

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
by: Liu, Yujia, et al.
Published: (2024)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
by: Wu, Chenxu, et al.
Published: (2025)

Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives
by: Yang, Chenxi, et al.
Published: (2024)

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
by: Zhang, Dan, et al.
Published: (2023)

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

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
by: Yao, Xing, et al.
Published: (2024)

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
by: Xing, Xiaodan, et al.
Published: (2024)

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
by: Cheng, Yuxuan, et al.
Published: (2024)

Self-Supervised Elimination of Non-Independent Noise in Hyperspectral Imaging
by: Ding, Guangrui, et al.
Published: (2024)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)

Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
by: Han, Luyi, et al.
Published: (2024)

LFMamba: Light Field Image Super-Resolution with State Space Model
by: xia, Wang, et al.
Published: (2024)

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

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

Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging
by: Megahed, Youssef, et al.
Published: (2025)

Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
by: Hashmi, Anam, et al.
Published: (2025)

Seeing Clearly and Deeply: An RGBD Imaging Approach with a Bio-inspired Monocentric Design
by: Yu, Zongxi, et al.
Published: (2025)

Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume
by: Zhou, Langrui, et al.
Published: (2024)

Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
by: Ahmed, Md. Toukir, et al.
Published: (2024)

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

Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization
by: Jiang, Qi, et al.
Published: (2024)

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
by: Shui, Zhongyi, et al.
Published: (2025)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
by: Yang, Jie, et al.
Published: (2026)

Low-resolution Prior Equilibrium Network for CT Reconstruction
by: Yang, Yijie, et al.
Published: (2024)

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
by: Li, Wenxuan, et al.
Published: (2025)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
by: Vasa, Vamsi Krishna, et al.
Published: (2024)

Efficient HDR Reconstruction from Real-World Raw Images
by: Yang, Qirui, et al.
Published: (2023)

Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images
by: Gong, Zheng, et al.
Published: (2024)

Multi-View Learning with Context-Guided Receptance for Image Denoising
by: Chen, Binghong, et al.
Published: (2025)