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20192026
most citedDeep Learning in Medical Image Registration: A Review

666 citations · 918 across the 43 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

physics.med-ph2024

Patient-Specific CBCT Synthesis for Real-time Tumor Tracking in Surface-guided Radiotherapy

Shaoyan Pan, Vanessa Su, Junbo Peng +6

We present a new imaging system to support real-time tumor tracking for surface-guided radiotherapy (SGRT). SGRT uses optical surface imaging (OSI) to acquire real-time surface top…

physics.med-ph2024

A Review of Artificial Intelligence in Brachytherapy

Jingchu Chen, Richard Qiu, Tonghe Wang +2

Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine l…

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…

eess.IV2024★ 1 cited

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas

Zach Eidex, Mojtaba Safari, Jacob Wynne +6

Purpose: Apparent diffusion coefficient (ADC) maps derived from diffusion weighted (DWI) MRI provides functional measurements about the water molecules in tissues. However, DWI is…

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 (…

cs.CV2024

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration

Yang Lei, Luke A. Matkovic, Justin Roper +6

This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assum…

physics.med-ph2024★ 2 cited

Dual-Energy Cone-Beam CT Using Two Complementary Limited-Angle Scans with A Projection-Consistent Diffusion Model

Junbo Peng, Chih-Wei Chang, Richard L. J. Qiu +5

Background: Dual-energy imaging on cone-beam CT (CBCT) scanners has great potential in different clinical applications, including image-guided surgery and adaptive proton therapy.…