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John Kang
John Kang
Dept. of Radiation Oncology, University of Washington
Bestätigte E-Mail-Adresse bei uw.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2132015
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
562018
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
562011
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
352015
Ddc2 mediates Mec1 activation through a Ddc1-or Dpb11-independent mechanism
A Bandhu, J Kang, K Fukunaga, G Goto, K Sugimoto
PLoS genetics 10 (2), e1004136, 2014
332014
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
22*2020
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
192021
Structurally governed cell mechanotransduction through multiscale modeling
J Kang, KM Puskar, AJ Ehrlicher, PR LeDuc, RS Schwartz
Scientific Reports 5 (1), 8622, 2015
152015
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
102020
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
82019
Integrating artificial intelligence and machine learning into cancer clinical trials
J Kang, AK Chowdhry, SL Pugh, JH Park
Seminars in Radiation Oncology 33 (4), 386-394, 2023
72023
In regard to Fornacon-Wood et al.
AK Chowdhry, D Mayo, SL Pugh, J Park, CD Fuller, J Kang
International Journal of Radiation Oncology, Biology, Physics 115 (1), 249-250, 2023
22023
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
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 and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians
J Kang, T Rattay, BS Rosenstein
Academic Press, 2023
12023
Predicted Inferior Outcomes for Lung SBRT With Treatment Planning Systems That Fail Independent Phantom-Based Audits
MD Greer, B Koger, M Glenn, J Kang, R Rengan, J Zeng, E Ford
International Journal of Radiation Oncology* Biology* Physics 115 (5), 1301-1308, 2023
12023
A glimmer of hope within the mountain of hype–Reviewing the role of artificial intelligence in radiotherapy
R Jena, A Dekker, J Kang
Clinical Oncology 34 (2), 71-73, 2022
12022
Extracting knowledge of NCI research directions from funding data using language processing.
P Beidler, M Nguyen, J Kang
Journal of Clinical Oncology 39 (15_suppl), e13547-e13547, 2021
12021
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
12018
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
12018
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