Junghoon Lee

ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Venues

Journal of applied clinical medical physics

Journal of medical imaging (Bellingham, Wash.)

Radiation oncology (London, England)

JCO clinical cancer informatics

Johns Hopkins University

Purdue University (PHD)

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

Affiliation History

Johns Hopkins University Jul 01 2018

United States

Associate Professor :: Radiation Oncology and Molecular Radiation Sciences

Johns Hopkins University Apr 01 2012 - Jun 30 2018

United States

Assistant Professor :: Radiation Oncology and Molecular Radiation Sciences

Education History

Purdue University Jul 26 2002 - Dec 16 2006

United States

PHD :: Electrical and Computer Engineering

Publications

Lina Mekki, Sahaja Acharya, Matthew Ladra, Junghoon Lee
Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. Journal of applied clinical medical physics 25 (3) (2024)
Lina Mekki, Sahaja Acharya, Matthew Ladra, Junghoon Lee
Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. Journal of applied clinical medical physics 25 (3) (2024)
Lin Su, Ellen Huang, David P Adam, Reza Farjam, Ian R Marsh, Qiongge Li, Joseph A Moore, Todd R McNutt, Kai Ding, Ken Kang-Hsin Wang, Adam Robinson, Gregory Kuri, Richard Seabrease, David P Adam, Ryan Oglesby, Bin Shen, Binbin Wu, Junghoon Lee, Xun Jia, Sarah Han-Oh
Commissioning and validation of a single photon beam model in RayStation for multiple matched Elekta Linacs. Journal of applied clinical medical physics (2024)
Rahul Pemmaraju, Ga Young Kim, Lina Mekki, Daniel Y Song, Junghoon Lee
Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic computed tomography. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Rahul Pemmaraju, Ga Young Kim, Lina Mekki, Daniel Y Song, Junghoon Lee
Cascaded cross-attention transformers and convolutional neural networks for multi-organ segmentation in male pelvic computed tomography. Journal of medical imaging (Bellingham, Wash.) 11 (2) (2024)
Lina Mekki, Sahaja Acharya, Matthew Ladra, Junghoon Lee
Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. Journal of applied clinical medical physics (2024)
Lina Mekki, Sahaja Acharya, Matthew Ladra, Junghoon Lee
Deep learning segmentation of organs-at-risk with integration into clinical workflow for pediatric brain radiotherapy. Journal of applied clinical medical physics 25 (3) (2024)
Peijin Han, Sang Ho Lee, Kazumasa Noro, John W Haller, Minoru Nakatsugawa, Shinya Sugiyama, Michael Bowers, Pranav Lakshminarayanan, Jeffrey Hoff, Cole Friedes, Chen Hu, Todd R McNutt, Khinh Ranh Voong, Junghoon Lee, Russell K Hales
Improving Early Identification of Significant Weight Loss Using Clinical Decision Support System in Lung Cancer Radiation Therapy. JCO clinical cancer informatics 5 (2021)
Sharmin Sultana, Adam Robinson, Daniel Y Song, Junghoon Lee
Automatic multi-organ segmentation in computed tomography images using hierarchical convolutional neural network. Journal of medical imaging (Bellingham, Wash.) 7 (5) (2020)
Sharmin Sultana, Daniel Y Song, Junghoon Lee
Deformable registration of PET/CT and ultrasound for disease-targeted focal prostate brachytherapy. Journal of medical imaging (Bellingham, Wash.) 6 (3) (2019)
Khadija Sheikh, Sang Ho Lee, Zhi Cheng, Pranav Lakshminarayanan, Luke Peng, Peijin Han, Todd R McNutt, Harry Quon, Junghoon Lee
Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands. Radiation oncology (London, England) 14 (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junghoon Lee