:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Yiqiong, Yuan, Yitian, Ren, Baoxing, Wu, Ye, Feng, Yanqiu, Zhang, Xinyuan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Medical Physics
Online Access:	https://arxiv.org/abs/2503.03329
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration
by: Safari, Mojtaba, et al.
Published: (2025)

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction
by: Safari, Mojtaba, et al.
Published: (2025)

From Diagnostic CT to DTI Tractography labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage
by: Murray, Olivia N, et al.
Published: (2024)

Weakly Supervised Spatial Implicit Neural Representation Learning for 3D MRI-Ultrasound Deformable Image Registration in HDR Prostate Brachytherapy
by: Wang, Jing, et al.
Published: (2025)

Automated Dose-Based Anatomic Region Classification of Radiotherapy Treatment for Big Data Applications
by: Hink, Justin, et al.
Published: (2026)

Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging
by: Shamaei, Amirmohammad, et al.
Published: (2025)

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
by: Ren, Jintao, et al.
Published: (2024)

Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI Reconstruction
by: Xie, Xin, et al.
Published: (2025)

CPT-4DMR: Continuous sPatial-Temporal Representation for 4D-MRI Reconstruction
by: Wu, Xinyang, et al.
Published: (2025)

Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
by: Wang, Shanshan, et al.
Published: (2024)

DDTracking: A Deep Generative Framework for Diffusion MRI Tractography with Streamline Local-Global Spatiotemporal Modeling
by: Li, Yijie, et al.
Published: (2025)

HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI
by: Snoussi, Haykel, et al.
Published: (2024)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
by: Ren, Jintao, et al.
Published: (2024)

Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction
by: Zhang, Liping, et al.
Published: (2025)

Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning
by: Grover, James, et al.
Published: (2026)

Robust High-Resolution Multi-Organ Diffusion MRI Using Synthetic-Data-Tuned Prompt Learning
by: Qian, Chen, et al.
Published: (2025)

Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
by: Chalcroft, Liam, et al.
Published: (2025)

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
by: Feng, Jie, et al.
Published: (2022)

Application of Quantum Convolutional Neural Networks for MRI-Based Brain Tumor Detection and Classification
by: Nugraha, Sugih Pratama, et al.
Published: (2025)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
by: Lei, Yang, et al.
Published: (2024)

Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance
by: Narimani, Sam, et al.
Published: (2025)

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
by: Wang, Qi, et al.
Published: (2023)

Supervised Diffusion-Model-Based PET Image Reconstruction
by: Webber, George, et al.
Published: (2025)

Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction
by: Safari, Mojtaba, et al.
Published: (2025)

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
by: Safari, Mojtaba, et al.
Published: (2025)

DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI
by: Guo, Bocheng, et al.
Published: (2025)

Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
by: Safari, Mojtaba, et al.
Published: (2025)

Generalizable synthetic MRI with physics-informed convolutional networks
by: Jacobs, Luuk, et al.
Published: (2023)

Diffusion Schrödinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning
by: Li, Muheng, et al.
Published: (2024)

Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI
by: Safari, Mojtaba, et al.
Published: (2025)

Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
by: Mao, Andrew, et al.
Published: (2023)

Physics-Constrained Diffusion Reconstruction with Posterior Correction for Quantitative and Fast PET Imaging
by: Hou, Yucun, et al.
Published: (2025)

Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT
by: Wang, Tianqi, et al.
Published: (2026)

Anatomically Constrained Tractography of the Fetal Brain
by: Calixto, Camilo, et al.
Published: (2024)

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy
by: Wang, Zilin, et al.
Published: (2024)

Physically Consistent Image Augmentation for Deep Learning in Mueller Matrix Polarimetry
by: Hahne, Christopher, et al.
Published: (2024)

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography
by: Chen, Yuqian, et al.
Published: (2024)

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
by: Liu, Jianan, et al.
Published: (2022)

TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View
by: Chen, Yuqian, et al.
Published: (2025)

Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
by: Weragoda, Sugandima, et al.
Published: (2024)