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20192021
most citedMedical Imaging Synthesis using Deep Learning and its Clinical Applications: A Review

14 citations · 62 across the 12 of their papers we have counts for

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11 papers · 1 filter

physics.med-ph20204 cited

Generative Adversarial Network for Image Synthesis

Yang Lei, Richard L. J. Qiu, Tonghe Wang +3

This chapter reviews recent developments of generative adversarial networks (GAN)-based methods for medical and biomedical image synthesis tasks. These methods are classified into…

physics.med-ph2020

Synthetic MRI-aided Head-and-Neck Organs-at-Risk Auto-Delineation for CBCT-guided Adaptive Radiotherapy

Xianjin Dai, Yang Lei, Tonghe Wang +7

Purpose: Organ-at-risk (OAR) delineation is a key step for cone-beam CT (CBCT) based adaptive radiotherapy planning that can be a time-consuming, labor-intensive, and subject-to-va…

physics.med-ph20208 cited

Knowledge-based Radiation Treatment Planning: A Data-driven Method Survey

Shadab Momin, Yabo Fu, Yang Lei +5

This paper surveys the data-driven dose prediction approaches introduced for knowledge-based planning (KBP) in the last decade. These methods were classified into two major categor…

physics.med-ph20203 cited

Learning-Based Synthetic Dual Energy CT Imaging from Single Energy CT for Stopping Power Ratio Calculation in Proton Radiation Therapy

Serdar Charyyev, Tonghe Wang, Yang Lei +7

Purpose: Dual-energy CT (DECT) has been shown to derive stopping power ratio (SPR) map with higher accuracy than conventional single energy CT (SECT) by obtaining the energy depend…

physics.med-ph20207 cited

Deep learning-based Real-time Volumetric Imaging for Lung Stereotactic Body Radiation Therapy: A Proof of Concept Study

Yang Lei, Zhen Tian, Tonghe Wang +5

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body ra…

physics.med-ph20201 cited

Intensity Non-uniformity Correction in MR Imaging Using Residual Cycle Generative Adversarial Network

Xianjin Dai, Yang Lei, Yingzi Liu +6

Purpose: Correcting or reducing the effects of voxel intensity non-uniformity (INU) within a given tissue type is a crucial issue for quantitative MRI image analysis in daily clini…