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Author Details
Full Name
Jun Deng
Affiliation
Yale University
ORCID
Career Start Year
1996
Papers
66
H Index
22
Expertise
CM4AI Collaborator
Jake Y. Chen (CM4AI)
PMID
Paper Title
Journal Title
Published Year
36732358
Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysis.
Sci Rep
2023
37619587
A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols.
Phys Med Biol
2023
37211681
Liver cancer risk quantification through an artificial neural network based on personal health data.
Acta Oncol
2023
36744110
Statistical biopsy: An emerging screening approach for early detection of cancers.
Front Artif Intell
2023
36732358
Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysis.
Sci Rep
2023
37619587
A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols.
Phys Med Biol
2023
37211681
Liver cancer risk quantification through an artificial neural network based on personal health data.
Acta Oncol
2023
36744110
Statistical biopsy: An emerging screening approach for early detection of cancers.
Front Artif Intell
2023
35098115
Editorial: Big Data Analytics for Precision Health and Prevention.
Front Big Data
2022
36274654
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.
Front Digit Health
2022
35128393
Editorial: Artificial Intelligence for Precision Medicine.
Front Artif Intell
2022
35098115
Editorial: Big Data Analytics for Precision Health and Prevention.
Front Big Data
2022
36274654
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.
Front Digit Health
2022
35128393
Editorial: Artificial Intelligence for Precision Medicine.
Front Artif Intell
2022
32555530
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation.
Sci Rep
2020
31908350
Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique.
Acta Crystallogr A Found Adv
2020
31679157
Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157.
Med Phys
2020
33693381
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification.
Front Big Data
2020
33733200
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.
Front Artif Intell
2020
32933759
Impact of radiation source activity on short- and long-term outcomes of cervical carcinoma patients treated with high-dose-rate brachytherapy: A retrospective cohort study.
Gynecol Oncol
2020
32872466
Radiomics at a Glance: A Few Lessons Learned from Learning Approaches.
Cancers (Basel)
2020
33134173
A Preliminary Simulation Study of Dose-Guided Adaptive Radiotherapy Based on Halcyon MV Cone-Beam CT Images With Retrospective Data From a Phase II Clinical Trial.
Front Oncol
2020
32776500
Practice patterns and recommendations for pediatric image-guided radiotherapy: A Children's Oncology Group report.
Pediatr Blood Cancer
2020
32555530
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation.
Sci Rep
2020
33733200
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.
Front Artif Intell
2020
33693381
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification.
Front Big Data
2020
31908350
Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique.
Acta Crystallogr A Found Adv
2020
31679157
Beam modeling and beam model commissioning for Monte Carlo dose calculation-based radiation therapy treatment planning: Report of AAPM Task Group 157.
Med Phys
2020
33134173
A Preliminary Simulation Study of Dose-Guided Adaptive Radiotherapy Based on Halcyon MV Cone-Beam CT Images With Retrospective Data From a Phase II Clinical Trial.
Front Oncol
2020
32776500
Practice patterns and recommendations for pediatric image-guided radiotherapy: A Children's Oncology Group report.
Pediatr Blood Cancer
2020
32933759
Impact of radiation source activity on short- and long-term outcomes of cervical carcinoma patients treated with high-dose-rate brachytherapy: A retrospective cohort study.
Gynecol Oncol
2020
32872466
Radiomics at a Glance: A Few Lessons Learned from Learning Approaches.
Cancers (Basel)
2020
31437221
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.
PLoS One
2019
31881042
Predicting breast cancer risk using personal health data and machine learning models.
PLoS One
2019
33693347
Stratifying Ovarian Cancer Risk Using Personal Health Data.
Front Big Data
2019
33733091
Pancreatic Cancer Prediction Through an Artificial Neural Network.
Front Artif Intell
2019
31437221
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.
PLoS One
2019
33733091
Pancreatic Cancer Prediction Through an Artificial Neural Network.
Front Artif Intell
2019
33693347
Stratifying Ovarian Cancer Risk Using Personal Health Data.
Front Big Data
2019
31881042
Predicting breast cancer risk using personal health data and machine learning models.
PLoS One
2019
29374196
Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.
Sci Rep
2018
30356283
A multi-parameterized artificial neural network for lung cancer risk prediction.
PLoS One
2018
29973695
Imaging Dose, Cancer Risk and Cost Analysis in Image-guided Radiotherapy of Cancers.
Sci Rep
2018
30652591
Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification.
JCO Clin Cancer Inform
2018
30319978
Editorial: Machine Learning With Radiation Oncology Big Data.
Front Oncol
2018
29713615
Lung Nodule Detection <i>via</i> Deep Reinforcement Learning.
Front Oncol
2018
29374196
Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.
Sci Rep
2018
29973695
Imaging Dose, Cancer Risk and Cost Analysis in Image-guided Radiotherapy of Cancers.
Sci Rep
2018
30319978
Editorial: Machine Learning With Radiation Oncology Big Data.
Front Oncol
2018
30652591
Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification.
JCO Clin Cancer Inform
2018
1 - 50 of 132
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Radhe Mohan
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row(s) 1 - 30 of 30
Collaborators
Tina Hernandez-Boussard
Stanford University
Co-authored papers
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Co-authored papers
1
Enrico Capobianco
Institute of Data Science and Computing, University of Miami
Co-authored papers
1
Matthew D McCoy
Lombardi Comprehensive Cancer Center, Georgetown University
Co-authored papers
1
Frank Emmert-Streib
Tampere University
Co-authored papers
1
Jake Y Chen
Co-authored papers
1
Thomas Hartung
University of Konstanz
Co-authored papers
1
Ilya Shmulevich
Institute for Systems Biology
Co-authored papers
1
Jake Y. Chen (CM4AI)
University of Alabama at Birmingham
Co-authored papers
1
David S Followill
University of Texas MD Anderson Cancer Center
Co-authored papers
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Subha Madhavan
Innovation Center for Biomedical Informatics, Georgetown University Medical Center
Co-authored papers
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1 - 11