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Renjie He
Observed names:
He, Renjie,
R He,
R. He
Institution:
The University of Texas MD Anderson Cancer Center
Observed institutions:
The University of Texas MD Anderson Cancer Center,
Mansoura University,
University of California, Los Angeles,
Hebei University of Technology,
United Imaging Healthcare (China),
The University of Texas Health Science Center at Houston,
Tsinghua University
show all 7
ORCID:
0000-0001-9166-6286
Observed ORCID:
0000-0001-9166-6286
OpenAlex ID:
A5005504553
The challenge of mapping the human connectome based on diffusion tractography
2017
·
Klaus H. Maier-Hein
, Peter F. Neher
, et al.
·
Nature Communications
·
1,332
PDF
Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry
2021
·
Kareem A. Wahid
, Sara Ahmed
, et al.
·
Clinical and Translational Radiation Oncology
·
55
PDF
Intensity standardization methods in magnetic resonance imaging of head and neck cancer
2021
·
Kareem A. Wahid
, Renjie He
, et al.
·
Physics and Imaging in Radiation Oncology
·
45
A novel combination method of electrical impedance tomography inverse problem for brain imaging
2005
·
Ying Li
, Liyun Rao
, et al.
·
IEEE Transactions on Magnetics
·
44
Mixed Effect Modeling of Dose and Linear Energy Transfer Correlations With Brain Image Changes After Intensity Modulated Proton Therapy for Skull Base Head and Neck Cancer
2021
·
Grete May Engeseth
, Renjie He
, et al.
·
International Journal of Radiation Oncology*Biology*Physics
·
41
PDF
Prospective evaluation of in vivo and phantom repeatability and reproducibility of diffusion-weighted MRI sequences on 1.5 T MRI-linear accelerator (MR-Linac) and MR simulator devices for head and neck cancers
2023
·
Brigid A. McDonald
, Travis Salzillo
, et al.
·
Radiotherapy and Oncology
·
38
PDF
Tumor Segmentation in Patients with Head and Neck Cancers Using Deep Learning Based-on Multi-modality PET/CT Images
2021
·
Mohamed A. Naser
, Lisanne V. van Dijk
, et al.
·
Lecture notes in computer science
·
38
An efficient improvement of modified Newton-Raphson algorithm for electrical impedance tomography
1999
·
Liyun Rao
, Renjie He
, et al.
·
IEEE Transactions on Magnetics
·
36
Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients
2019
·
Kendall Kiser
, Mohamed A.M. Meheissen
, et al.
·
Clinical and Translational Radiation Oncology
·
35
PDF
A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations
2017
·
Joint Head and Neck Radiotherapy-MRI Development Cooperative
, Rachel B. Ger
, et al.
·
Scientific Reports
·
34
PDF
Perfusion Deficits Detected by Arterial Spin-Labeling in Patients with TIA with Negative Diffusion and Vascular Imaging
2013
·
X.J. Qiao
, N. Salamon
, et al.
·
American Journal of Neuroradiology
·
33
PDF
Prospective validation of diffusion-weighted MRI as a biomarker of tumor response and oncologic outcomes in head and neck cancer: Results from an observational biomarker pre-qualification study
2023
·
Abdallah S.R. Mohamed
, Abdelrahman Abusaif
, et al.
·
Radiotherapy and Oncology
·
28
PDF
Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
2022
·
Kareem A. Wahid
, Enrico Glerean
, et al.
·
Seminars in Radiation Oncology
·
28
PDF
Head and Neck Cancer Primary Tumor Auto Segmentation Using Model Ensembling of Deep Learning in PET/CT Images
2022
·
Mohamed A. Naser
, Kareem A. Wahid
, et al.
·
Lecture notes in computer science
·
27
PDF
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancer
2022
·
Mohamed A. Naser
, Kareem A. Wahid
, et al.
·
Frontiers in Oncology
·
26
Progression Free Survival Prediction for Head and Neck Cancer Using Deep Learning Based on Clinical and PET/CT Imaging Data
2022
·
Mohamed A. Naser
, Kareem A. Wahid
, et al.
·
Lecture notes in computer science
·
25
PDF
Imaging for Target Delineation and Treatment Planning in Radiation Oncology
2019
·
Sonja Stieb
, Brigid McDonald
, et al.
·
Hematology/Oncology Clinics of North America
·
22
E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation
2023
·
Diana Lin
, Kareem A. Wahid
, et al.
·
Journal of medical imaging
·
21
PDF
Morphometry-based measurements of the structural response to whole-brain radiation
2014
·
D. Fuentes
, J. Contreras
, et al.
·
International Journal of Computer Assisted Radiology and Surgery
·
17
Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers
2018
·
Joint Head and Neck Radiotherapy-MRI Development Cooperative
, Hesham Elhalawani
, et al.
·
Scientific Data
·
16
PDF
Research on MRI brain segmentation algorithm with the application in model-based EEG/MEG
2001
·
Shijuan He
, Xueqin Shen
, et al.
·
IEEE Transactions on Magnetics
·
16
Hemodynamic Parameter Estimation From Magnetic Resonance Perfusion Imaging With the Tikhonov Regularization Method
2015
·
Ying Li
, Mingjie Gao
, et al.
·
IEEE Transactions on Magnetics
·
15
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites
2023
·
Kareem A. Wahid
, Diana Lin
, et al.
·
Scientific Data
·
14
Author Correction: The challenge of mapping the human connectome based on diffusion tractography
2019
·
Klaus H. Maier-Hein
, Peter F. Neher
, et al.
·
Nature Communications
·
14
PDF
Image reconstruction of EIT using differential evolution algorithm
2004
·
Ying Li
, Liyun Rao
, et al.
·
14
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Works count:
100
Citation count:
2,212
H-index:
18
I10-index:
30
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