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Kenny Heekon Cha
Kenny Heekon Cha
Verified email at fda.hhs.gov
Title
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Cited by
Year
Deep learning in medical imaging and radiation therapy
B Sahiner, A Pezeshk, LM Hadjiiski, X Wang, K Drukker, KH Cha, ...
Medical physics 46 (1), e1-e36, 2019
7712019
Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets
KH Cha, L Hadjiiski, RK Samala, HP Chan, EM Caoili, RH Cohan
Medical physics 43 (4), 1882-1896, 2016
3012016
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
RK Samala, HP Chan, L Hadjiiski, MA Helvie, J Wei, K Cha
Medical physics 43 (12), 6654-6666, 2016
2962016
Breast cancer diagnosis in digital breast tomosynthesis: effects of training sample size on multi-stage transfer learning using deep neural nets
RK Samala, HP Chan, L Hadjiiski, MA Helvie, CD Richter, KH Cha
IEEE transactions on medical imaging 38 (3), 686-696, 2018
2262018
Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms
RK Samala, HP Chan, LM Hadjiiski, MA Helvie, KH Cha, CD Richter
Physics in Medicine & Biology 62 (23), 8894, 2017
2252017
Bladder cancer treatment response assessment in CT using radiomics with deep-learning
KH Cha, L Hadjiiski, HP Chan, AZ Weizer, A Alva, RH Cohan, EM Caoili, ...
Scientific reports 7 (1), 8738, 2017
2022017
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
SG Armato III, H Huisman, K Drukker, L Hadjiiski, JS Kirby, N Petrick, ...
Journal of Medical Imaging 5 (4), 044501-044501, 2018
1562018
Radiomics of lung nodules: a multi-institutional study of robustness and agreement of quantitative imaging features
J Kalpathy-Cramer, A Mamomov, B Zhao, L Lu, D Cherezov, S Napel, ...
Tomography 2 (4), 430-437, 2016
1352016
Urinary bladder cancer staging in CT urography using machine learning
SS Garapati, L Hadjiiski, KH Cha, HP Chan, EM Caoili, RH Cohan, ...
Medical physics 44 (11), 5814-5823, 2017
1202017
Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis
RK Samala, HP Chan, LM Hadjiiski, MA Helvie, C Richter, K Cha
Physics in Medicine & Biology 63 (9), 095005, 2018
1162018
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis
RK Samala, HP Chan, LM Hadjiiski, K Cha, MA Helvie
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 234-240, 2016
992016
Bladder cancer segmentation in CT for treatment response assessment: application of deep-learning convolution neural network—a pilot study
KH Cha, LM Hadjiiski, RK Samala, HP Chan, RH Cohan, EM Caoili, ...
Tomography 2 (4), 421-429, 2016
842016
U‐Net based deep learning bladder segmentation in CT urography
X Ma, LM Hadjiiski, J Wei, HP Chan, KH Cha, RH Cohan, EM Caoili, ...
Medical physics 46 (4), 1752-1765, 2019
722019
Diagnostic accuracy of CT for prediction of bladder cancer treatment response with and without computerized decision support
KH Cha, LM Hadjiiski, RH Cohan, HP Chan, EM Caoili, MS Davenport, ...
Academic radiology 26 (9), 1137-1145, 2019
602019
Deep learning approach for assessment of bladder cancer treatment response
E Wu, LM Hadjiiski, RK Samala, HP Chan, KH Cha, C Richter, RH Cohan, ...
Tomography 5 (1), 201-208, 2019
582019
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning
KH Cha, N Petrick, A Pezeshk, CG Graff, D Sharma, A Badal, B Sahiner
Journal of Medical Imaging 7 (1), 012703-012703, 2020
422020
AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
L Hadjiiski, K Cha, HP Chan, K Drukker, L Morra, JJ Näppi, B Sahiner, ...
Medical Physics 50 (2), e1-e24, 2023
342023
Spie-aapm-nci breastpathq challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
N Petrick, S Akbar, KH Cha, S Nofech-Mozes, B Sahiner, MA Gavrielides, ...
Journal of Medical Imaging 8 (3), 034501-034501, 2021
252021
Deep‐learning convolutional neural network: inner and outer bladder wall segmentation in CT urography
MN Gordon, LM Hadjiiski, KH Cha, RK Samala, HP Chan, RH Cohan, ...
Medical physics 46 (2), 634-648, 2019
232019
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography
M Gordon, L Hadjiiski, K Cha, HP Chan, R Samala, RH Cohan, EM Caoili
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 1013402, 2017
232017
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