activity
20192021
most citedDeep Learning in Medical Image Registration: A Review

666 citations · 732 across the 15 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

physics.med-ph2020★ 4 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★ 4 cited

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-ph2020★ 8 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-ph2020★ 3 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-ph2020★ 7 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-ph2020★ 1 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…

physics.med-ph2020★ 14 cited

Medical Imaging Synthesis using Deep Learning and its Clinical Applications: A Review

Tonghe Wang, Yang Lei, Yabo Fu +3

This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning…

physics.med-ph2020

Learning-Based Stopping Power Mapping on Dual Energy CT for Proton Radiation Therapy

Tonghe Wang, Yang Lei, Joseph Harms +8

Purpose: Dual-energy CT (DECT) has been used to derive relative stopping power (RSP) map by obtaining the energy dependence of photon interactions. The DECT-derived RSP maps could…

eess.IV2020★ 5 cited

Deep Learning in Multi-organ Segmentation

Yang Lei, Yabo Fu, Tonghe Wang +4

This paper presents a review of deep learning (DL) in multi-organ segmentation. We summarized the latest DL-based methods for medical image segmentation and applications. These met…

eess.IV2020★ 6 cited

Machine Learning in Quantitative PET Imaging

Tonghe Wang, Yang Lei, Yabo Fu +3

This paper reviewed the machine learning-based studies for quantitative positron emission tomography (PET). Specifically, we summarized the recent developments of machine learning-…