John Kang
John Kang
Dept. of Radiation Oncology, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning approaches for predicting radiation therapy outcomes: a clinician's perspective
J Kang, R Schwartz, J Flickinger, S Beriwal
International Journal of Radiation Oncology* Biology* Physics 93 (5), 1127-1135, 2015
1292015
Response of an actin filament network model under cyclic stretching through a coarse grained Monte Carlo approach
J Kang, RL Steward, YT Kim, RS Schwartz, PR LeDuc, KM Puskar
Journal of theoretical biology 274 (1), 109-119, 2011
492011
Machine learning and radiogenomics: lessons learned and future directions
J Kang, T Rancati, S Lee, JH Oh, SL Kerns, JG Scott, R Schwartz, S Kim, ...
Frontiers in oncology 8, 228, 2018
312018
Ddc2 mediates Mec1 activation through a Ddc1-or Dpb11-independent mechanism
A Bandhu, J Kang, K Fukunaga, G Goto, K Sugimoto
PLoS Genet 10 (2), e1004136, 2014
292014
Cervical cancer outcome prediction to high-dose rate brachytherapy using quantitative magnetic resonance imaging analysis of tumor response to external beam radiotherapy
D Minkoff, BS Gill, J Kang, S Beriwal
Radiotherapy and Oncology 115 (1), 78-83, 2015
172015
Structurally governed cell mechanotransduction through multiscale modeling
J Kang, KM Puskar, AJ Ehrlicher, PR LeDuc, RS Schwartz
Scientific reports 5 (1), 1-7, 2015
92015
Genomics models in radiotherapy: From mechanistic to machine learning
J Kang, JT Coates, RL Strawderman, BS Rosenstein, SL Kerns
Medical physics 47 (5), e203-e217, 2020
8*2020
Fellowship Training in Radiation Oncology
J Kang, RF Thompson, CD Fuller, KA Camphausen, PE Gabriel, ...
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 106 (1), 217-218, 2020
2*2020
Stereotactic body radiotherapy in patients with multiple lung tumors: a focus on lung dosimetric constraints
MT Milano, A Mihai, J Kang, DP Singh, V Verma, H Qiu, Y Chen, FM Kong
Expert review of anticancer therapy 19 (11), 959-969, 2019
22019
Modeling Mechanotransduction Signaling through Actin Filament Network Deformation Linked to Biochemical Response
J Kang, KM Puskar, RS Schwartz, PR LeDuc
Biophysical Journal 104 (2), 317a-318a, 2013
22013
Machine learning to predict postradical prostatectomy pathology outcomes in intermediate risk prostate cancer
J Kang, CW Doucette, H Zhang
International Journal of Radiation Oncology• Biology• Physics 99 (2), E245-E246, 2017
12017
A free multi-model program for comparing linear-quadratic and non-linear quadratic models in TCP prediction of SABR-treated NSCLC
J Kang, Y Zhang, DA Clump, JC Flickinger, X Li, MS Huq
International Journal of Radiation Oncology• Biology• Physics 90 (1), S854-S855, 2014
12014
Spatiotemporal modeling of actin cytoskeletal mechanics linked to morphology and mechanotransduction
J Kang
Carnegie Mellon University Pittsburgh, PA, 2013
12013
National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation
J Kang, RF Thompson, S Aneja, C Lehman, A Trister, J Zou, C Obcemea, ...
Practical Radiation Oncology 11 (1), 74-83, 2021
2021
Closing the Gap Between Machine Learning and Clinical Cancer Care—First Steps Into a Larger World
J Kang, O Morin, JC Hong
JAMA Oncology, 2020
2020
Provider engagement in radiation oncology data science: workshop report
AK Jain, S Aneja, CD Fuller, AP Dicker, C Chung, E Kim, JS Kirby, ...
JCO Clinical Cancer Informatics 4, 2020
2020
Predicting Prostate Radiotherapy Toxicity in a Phase III Trial Using Clinical/Dosimetric Variables in Logistic Regression and Random Forest Models
J Kang, R Strawderman, D Dearnaley, E Hall, N Burnet, CML West, ...
International Journal of Radiation Oncology• Biology• Physics 105 (1), E285, 2019
2019
Reviewer Acknowledgment 2019
P Alderson, TC Allen, R Alvarez, S Bhatia, A Campbell, I Cass, A Cheville, ...
CA CANCER J CLIN 69, 521, 2019
2019
Comparing the Kattan Nomogram to a Random Forest Model to Predict Post-Prostatectomy Pathology
J Kang, CW Doucette, I El Naqa, H Zhang
International Journal of Radiation Oncology• Biology• Physics 102 (3), S61-S62, 2018
2018
Long-term CT surveillance after primary lung cancer treatment captures events in all risk groups
J Kang, AK Chowdhry, MT Milano
Translational lung cancer research 7 (Suppl 1), S49, 2018
2018
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Articles 1–20