Synho Do

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Venues

Radiology. Artificial intelligence

Blockchain in healthcare today

Nature biomedical engineering

Radiology

Massachusetts General Hospital

University of Southern California (PHD)

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

Affiliation History

Massachusetts General Hospital

United States

Director :: Radiology

Education History

University of Southern California

United States

PHD :: Biomedical engineering

Publications

Manisha Bahl, Synho Do
Artificial Intelligence for Breast Cancer Screening: Trade-offs between Sensitivity and Specificity. Radiology. Artificial intelligence 6 (3) (2024)
Manisha Bahl, Synho Do
Artificial Intelligence for Breast Cancer Screening: Trade-offs between Sensitivity and Specificity. Radiology. Artificial intelligence 6 (3) (2024)
Manisha Bahl, Synho Do
Artificial Intelligence for Breast Cancer Screening: Trade-offs between Sensitivity and Specificity. Radiology. Artificial intelligence 6 (3) (2024)
Manisha Bahl, Synho Do
Artificial Intelligence for Breast Cancer Screening: Trade-offs between Sensitivity and Specificity. Radiology. Artificial intelligence 6 (3) (2024)
Manisha Bahl, Synho Do
Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory. Radiology 307 (5) (2023)
Doyun Kim, Joowon Chung, Jongmun Choi, Marc D Succi, John Conklin, Maria Gabriela Figueiro Longo, Jeanne B Ackman, Brent P Little, Milena Petranovic, Mannudeep K Kalra, Michael H Lev, Synho Do
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model. Nature communications 13 (1) (2022)
Michelle Chua, Doyun Kim, Jongmun Choi, Nahyoung G Lee, Vikram Deshpande, Joseph Schwab, Michael H Lev, Ramon G Gonzalez, Michael S Gee, Synho Do
Tackling prediction uncertainty in machine learning for healthcare. Nature biomedical engineering (2022)
Jan Witowski, Jongmun Choi, Soomin Jeon, Doyun Kim, Joowon Chung, John Conklin, Maria Gabriela Figueiro Longo, Marc D Succi, Synho Do
MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research. Blockchain in healthcare today 4 (2021)
Jan Witowski, Jongmun Choi, Soomin Jeon, Doyun Kim, Joowon Chung, John Conklin, Maria Gabriela Figueiro Longo, Marc D Succi, Synho Do
MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research. Blockchain in healthcare today 4 (2021)
Synho Do, Kyoung Doo Song, Joo Won Chung
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning. Korean journal of radiology 21 (1) (2020)
Yongsik Sim, Myung Jin Chung, Elmar Kotter, Sehyo Yune, Myeongchan Kim, Synho Do, Kyung Hwa Han, Hanmyoung Kim, Seungwook Yang, Dong-Jae Lee, Byoung Wook Choi
Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs. Radiology 294 (1) (2019)
Anushri Parakh, Hyunkwang Lee, Jeong Hyun Lee, Brian H Eisner, Dushyant V Sahani, Synho Do
Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization. Radiology. Artificial intelligence 1 (4) (2019)
Hyunkwang Lee, Chao Huang, Sehyo Yune, Shahein H Tajmir, Myeongchan Kim, Synho Do
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. Scientific reports 9 (1) (2019)
Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, Myeongchan Kim, Shahein H Tajmir, Claude E Guerrier, Sarah A Ebert, Stuart R Pomerantz, Javier M Romero, Shahmir Kamalian, Ramon G Gonzalez, Michael H Lev, Synho Do
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets. Nature biomedical engineering 3 (3) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Synho Do