Kenny H Cha (Karen Drukker)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Positive Breast Cancer

Radical Prostatectomy

Artificial Intelligence

Magnetic Resonance

Top Venues

Journal of medical imaging (Bellingham, Wash.)

BJR artificial intelligence

Cancer imaging : the official publication of the International Cancer Imaging Society

This page only lists publications with an associated author ORCID identifier.

Publications

Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Kenny H Cha, Milica Medved, Carla B Harmath, Maryellen L Giger, Obianuju S Madueke-Laveaux
Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth. Journal of medical imaging (Bellingham, Wash.) 11 (5) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun J Kim, Heather M Whitney, Natalie Baughan, Kyle J Myers, Maryellen L Giger, Michael F McNitt-Gray
MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Heather M Whitney, Natalie Baughan, Kyle J Myers, Kenny H Cha, Judy Wawira Gichoya, Brad Bower, Weijie Chen, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Oluwasanmi O Koyejo, Rui Carlos Sá, Berkman Sahiner, Zi Zhang, Maryellen L Giger
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Lindsay Douglas, Roma Bhattacharjee, Jordan Fuhrman, Kenny H Cha, Qiyuan Hu, Alexandra Edwards, Deepa Sheth, Maryellen L Giger
U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Natalie Baughan, Heather M Whitney, Kenny H Cha, Berkman Sahiner, Tingting Hu, Grace Hyun Kim, Michael F McNitt-Gray, Kyle J Myers, Maryellen L Giger
Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Hui Li, Kenny H Cha, Qiyuan Hu, Heather M Whitney, Jordan D Fuhrman, Maryellen L Giger
Predicting intensive care need for COVID-19 patients using deep learning on chest radiography. Journal of medical imaging (Bellingham, Wash.) 10 (4) (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Heather M Whitney, Kenny H Cha, Maryellen L Giger
Performance metric curve analysis framework to assess impact of the decision variable threshold, disease prevalence, and dataset variability in two-class classification. Journal of medical imaging (Bellingham, Wash.) 9 (3) (2022)
Nicholas Petrick, Shazia Akbar, Kenny H Cha, Sharon Nofech-Mozes, Berkman Sahiner, Marios A Gavrielides, Jayashree Kalpathy-Cramer, Kenny H Cha, Anne L Martel, null null
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of medical imaging (Bellingham, Wash.) 8 (3) (2021)
Qiyuan Hu, Kenny H Cha, Maryellen L Giger
Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19. Journal of medical imaging (Bellingham, Wash.) 8 (Suppl 1) (2021)
Kenny H Cha, Alexandra Edwards, Christopher Doyle, John Papaioannou, Kirti Kulkarni, Maryellen L Giger
Breast MRI radiomics for the pretreatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)
Heather M Whitney, Kenny H Cha, Alexandra Edwards, John Papaioannou, Maryellen L Giger
Effect of biopsy on the MRI radiomics classification of benign lesions and luminal A cancers. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)
Samuel G Armato, Henkjan J Huisman, Kenny H Cha, Lubomir Hadjiiski, Justin S Kirby, Nicholas Petrick, George Redmond, Maryellen L Giger, Kenny H Cha, Artem Mamonov, Jayashree Kalpathy-Cramer, Keyvan Farahani
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Kenny H Cha, Hui Li, Natalia Antropova, Alexandra Edwards, John Papaioannou, Maryellen L Giger
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer. Cancer imaging : the official publication of the International Cancer Imaging Society 18 (1) (2018)
Kenny H Cha, Maryellen L Giger, Bonnie N. Joe, Karla Kerlikowske, Heather Greenwood, Jennifer S Drukteinis, Bethany Niell, Bo Fan, Serghei Malkov, Jesus Avila, Leila Kazemi, John Shepherd
Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set. Radiology 290 (3) (2018)