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20242026
most citedDeep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

physics.med-ph2026

CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model

Junbo Peng, Huiqiao Xie, Tonghe Wang +2

Daily or weekly cone-beam computed tomography (CBCT) is employed in image-guided radiotherapy (IGRT) for precise patient alignment. However, its clinical utility in quantitative ta…

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…

physics.med-ph2025

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy

Tonghe Wang, Yining Feng, Xiaofeng Yang

Purpose: In high-dose-rate (HDR) prostate brachytherapy procedures, the pattern of needle placement solely relies on physician experience. We investigated the feasibility of using…

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…

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…