most citedMRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting

13 citations · 21 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2025

An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation

Zach Eidex, Mojtaba Safari, Jie Ding +7

Objective: Gadolinium-based contrast agents (GBCAs) are commonly employed with T1w MRI to enhance lesion visualization but are restricted in patients at risk of nephrogenic systemi…

cs.CV2025

Generalizable 7T T1-map Synthesis from 1.5T and 3T T1 MRI with an Efficient Transformer Model

Zach Eidex, Mojtaba Safari, Tonghe Wang +6

Purpose: Ultra-high-field 7T MRI offers improved resolution and contrast over standard clinical field strengths (1.5T, 3T). However, 7T scanners are costly, scarce, and introduce a…

cs.CV2025

Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation

Shansong Wang, Zhecheng Jin, Mingzhe Hu +7

CLIP models pretrained on natural images with billion-scale image-text pairs have demonstrated impressive capabilities in zero-shot classification, cross-modal retrieval, and open-…

cs.CV2025★ 13 cited

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting

Mojtaba Safari, Shansong Wang, Zach Eidex +4

Objective:This study introduces a residual error-shifting mechanism that drastically reduces sampling steps while preserving critical anatomical details, thus accelerating MRI reco…

cs.CV2025★ 1 cited

Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging

Shansong Wang, Mojtaba Safari, Qiang Li +5

Vision foundation models (VFMs) are pre-trained on extensive image datasets to learn general representations for diverse types of data. These models can subsequently be fine-tuned…

cs.CV2025★ 6 cited

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction

Mojtaba Safari, Shansong Wang, Zach Eidex +4

Background: MRI is crucial for brain imaging but is highly susceptible to motion artifacts due to long acquisition times. This study introduces PI-MoCoNet, a physics-informed motio…

physics.med-ph2025

An Adaptive Proton FLASH Therapy Using Modularized Pin Ridge Filter

Ahmal Jawad Zafar, Xiaofeng Yang, Zachary Diamond +4

In this paper, we proposed a method to optimize adaptive proton FLASH therapy (ADP FLASH) using modularized pin ridge filters (pRFs) by recycling module pins from the initial plan…

eess.IV2024

T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning

Zach Eidex, Mojtaba Safari, Richard L. J. Qiu +4

Objective: Gadolinium-based contrast agents (GBCAs) are commonly used in MRI scans of patients with gliomas to enhance brain tumor characterization using T1-weighted (T1W) MRI. How…

physics.med-ph2024

Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT

Junbo Peng, Tonghe Wang, Huiqiao Xie +6

Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without h…

physics.med-ph2024

Unsupervised Bayesian Generation of Synthetic CT from CBCT Using Patient-Specific Score-Based Prior

Junbo Peng, Yuan Gao, Chih-Wei Chang +7

Background: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (…

physics.med-ph2024

Using Modularized Pin Ridge Filter in Proton FLASH Planning for Liver Stereotactic Ablative Body Radiotherapy

Chaoqiong Ma, Xiaofeng Yang, Yinan Wang +3

We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this…

physics.med-ph2024★ 1 cited

Adaptive Proton Therapy Using CBCT-Guided Digital Twins

Chih-Wei Chang, Zhen Tian, Richard L. J. Qiu +8

This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a l…