14 citations · 34 across the 5 of their papers we have counts for
5 papers
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…
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…
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-…
Machine-learning-based Classification of Lower-grade gliomas and High-grade gliomas using Radiomic Features in Multi-parametric MRI
Ge Cui, Jiwoong Jeong, Bob Press +6
Objectives: Glioblastomas are the most aggressive brain and central nervous system (CNS) tumors with poor prognosis in adults. The purpose of this study is to develop a machine-lea…
Air, bone and soft-tissue Segmentation on 3D brain MRI Using Semantic Classification Random Forest with Auto-Context Model
Xue Dong, Yang Lei, Sibo Tian +7
As bone and air produce weak signals with conventional MR sequences, segmentation of these tissues particularly difficult in MRI. We propose to integrate patch-based anatomical sig…