Cover Image

Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great Again

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhe, Ru, Yuhua, Bauer, Fabian, Chetouani, Aladine, Chen, Fang, Zhang, Liping, Hans, Didier, Jennane, Rachid, Jarraya, Mohamed, Chen, Yung Hsin
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-Resolution
by: Wang, Zhe, et al.
Published: (2025)

Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information
by: Wang, Zhe, et al.
Published: (2024)

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis
by: Wang, Zhe, et al.
Published: (2023)

Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee Osteoarthritis Detection
by: Wang, Zhe, et al.
Published: (2023)

Transformer with Selective Shuffled Position Embedding and Key-Patch Exchange Strategy for Early Detection of Knee Osteoarthritis
by: Wang, Zhe, et al.
Published: (2023)

Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis
by: Wang, Zhe, et al.
Published: (2024)

Feasibility study for reconstruction of knee MRI from one corresponding X-ray via CNN
by: Wang, Zhe, et al.
Published: (2025)

Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
by: Wang, Zhe, et al.
Published: (2025)

Morphology-Aware KOA Classification: Integrating Graph Priors with Vision Models
by: Tliba, Marouane, et al.
Published: (2025)

Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment
by: Sekhri, Aymen, et al.
Published: (2024)

Combining Transformers and CNNs for Efficient Object Detection in High-Resolution Satellite Imagery
by: Drapier, Nicolas, et al.
Published: (2025)

Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
by: Drapier, Nicolas, et al.
Published: (2024)

Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models?
by: Kerkouri, Mohamed Amine, et al.
Published: (2024)

SPGen: Stochastic scanpath generation for paintings using unsupervised domain adaptation
by: Kerkouri, Mohamed Amine, et al.
Published: (2026)

Diffusion Model‐Based MRI Super‐Resolution Synthesis
by: Ji Ma, et al.
Published: (2025)

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality
by: Kerkouri, Mohamed Amine, et al.
Published: (2025)

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
by: Li, Guangyuan, et al.
Published: (2024)

Unpaired MRI Super Resolution with Contrastive Learning
by: Li, Hao, et al.
Published: (2023)

Deform-Mamba Network for MRI Super-Resolution
by: Ji, Zexin, et al.
Published: (2024)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

Physics-Driven 3D Gaussian Rendering for Zero-Shot MRI Super-Resolution
by: Liu, Shuting, et al.
Published: (2026)

What They Saw, Not Just Where They Looked: Semantic Scanpath Similarity via VLMs and NLP metric
by: Kerkouri, Mohamed Amine, et al.
Published: (2026)

FCN+: Global Receptive Convolution Makes FCN Great Again
by: Ren, Xiaoyu, et al.
Published: (2023)

SAM-SP: Self-Prompting Makes SAM Great Again
by: Zhou, Chunpeng, et al.
Published: (2024)

MRI Super-Resolution with Deep Learning: A Comprehensive Survey
by: Khateri, Mohammad, et al.
Published: (2025)

Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI
by: Masterl, Ema, et al.
Published: (2025)

Enhance the Image: Super Resolution using Artificial Intelligence in MRI
by: Li, Ziyu, et al.
Published: (2024)

Make Literature-Based Discovery Great Again through Reproducible Pipelines
by: Cestnik, Bojan, et al.
Published: (2025)

Self-Supervised Weighted Image Guided Quantitative MRI Super-Resolution
by: Samadifardheris, Alireza, et al.
Published: (2025)

Likelihood-Separable Diffusion Inference for Multi-Image MRI Super-Resolution
by: Remedios, Samuel W., et al.
Published: (2026)

A multilingual training strategy for low resource Text to Speech
by: Amalas, Asma, et al.
Published: (2024)

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
by: Zhou, Xuanru, et al.
Published: (2025)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
by: Wu, Ruoyou, et al.
Published: (2024)

Make America Great Again: ¿expresión de un nativismo blanco contemporáneo?
by: Antonio Alejo
Published: (2018)

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
by: Geng, Zigang, et al.
Published: (2025)

SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention
by: Zheng, Shaoming, et al.
Published: (2024)

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

Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images
by: Dubey, Vishal
Published: (2024)

Unrolled Reconstruction with Integrated Super-Resolution for Accelerated 3D LGE MRI
by: Hisham, Md Hasibul Husain, et al.
Published: (2026)

Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution
by: Lu, Rongchang, et al.
Published: (2025)