Synho Do - Publications, H-index & Citations

Synho Do

Harvard University

31H指数

109论文数

5.7K被引数

收录论文 29

发表时间

Targeted Surface-Enhanced Raman Scattering for Highly Accurate Identification of Bacterial Species and Finding Spectral Signatures with Explainable Artificial Intelligence 有针对性的表面增强拉曼散射，用于高度准确地识别细菌种类，并使用可解释的人工智能找到光谱特征

ACS Nano

IF16

2026-04-15

PREAI

Young-Tak Kim; Ju Eun Cho; Min Ji Hwang; Shimayali Kaushal; Nitin Singhal; Jung Bin Kim; Synho Do; Dong-Kwon Lim

Mapping the AI Mind: What the AI-STREAM TrialReveals About Cancers Detected and Missed 绘制人工智能思维图谱：AI-STREAM试验揭示关于检出与漏诊癌症的信息

Radiology-Artificial Intelligence

IF13.2

2026-01-01

PREAI

Do, Synho; Bahl, Manisha

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography 放射科医师联盟——用于可扩展和游戏化放射学教育的端到端AI框架：胸部放射摄影的试点实施

Journal of Imaging Informatics in Medicine

IF0

2026-01-01

PREAI

Kim, Hyunji; Kim, Young-Tak; Langarica, Saul; Fialkowski, Kevin P.; Seah, Jarrel C. Y.; Tang, Jennifer S. N.; Song, Kyoung Doo; Jung, Dae Chul; Bae, Kyongtae Tyler; Cochran, Rory L.; Succi, Marc D.; McDermott, Shaunagh; Bahl, Manisha; Ackman, Jeanne B.; Lev, Michael H.; Gee, Michael S.; Do, Synho

Correction: ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume 更正：ARANet：一种用于精确基于MRI的胎儿大小和羊水量分割与定量的自适应分辨率注意力网络

Journal of Imaging Informatics in Medicine

IF0

2025-10-20

PREAI

Adham M. Alkhadrawi; Valeria Peña-Trujillo; Sebastian Gallo-Bernal; Michael S. Gee; Camilo E. Jaimes Cobos; Kyungsu Kim; Saul Langarica; Young-Tak Kim; Teresa Victoria; Synho Do

Electroencephalography functional network for screening amyloid positivity in mild cognitive impairment: a cross-sectional study 脑电图功能网络用于筛选轻度认知障碍中的淀粉样蛋白阳性：一项横断面研究

Clinical Neurophysiology

IF3.6

2025-10-04

OAAI

Jooheon Kong; Mingyeong So; Hyunsung Park; Young-Tak Kim; Hayom Kim; Kisoo Pahk; Sung Hoon Kang; Synho Do; Dong-Kwon Lim; Chan-Nyoung Lee; Jung Bin Kim

A Deep Learning Model for Screening Computed Tomography Imaging for Thyroid Eye Disease and Compressive Optic Neuropathy

OPHTHALMOLOGY SCIENCE

IF4.6

2024-01-01

OAAI

Lin, Lisa Y.; Zhou, Paul; Shi, Min; Lu, Jonathan E.; Jeon, Soomin; Kim, Doyun; Liu, Josephine M.; Wang, Mengyu; Do, Synho; Lee, Nahyoung Grace

Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory 人工智能应用于对比增强乳腺x线摄影: 探索未知领域

RADIOLOGY

IF15.2

2023-06-01

PREAI

Bahl, Manisha; Do, Synho

Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach (vol 12, 21164, 2022)

SCIENTIFIC REPORTS

IF3.9

2023-03-15

OAAI

Chung, Joowon; Kim, Doyun; Choi, Jongmun; Yune, Sehyo; Song, Kyoung Doo; Kim, Seonkyoung; Chua, Michelle; Succi, Marc D.; Conklin, John; Longo, Maria G. Figueiro; Ackman, Jeanne B.; Petranovic, Milena; Lev, Michael H.; Do, Synho

Tackling prediction uncertainty in machine learning for healthcare

NATURE BIOMEDICAL ENGINEERING

IF26.6

2022-12-29

PREAI

Chua, Michelle; Kim, Doyun; Choi, Jongmun; Lee, Nahyoung G.; Deshpande, Vikram; Schwab, Joseph; Lev, Michael H.; Gonzalez, Ramon G.; Gee, Michael S.; Do, Synho

Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach

SCIENTIFIC REPORTS

IF3.9

2022-12-07

OAAI

Chung, Joowon; Kim, Doyun; Choi, Jongmun; Yune, Sehyo; Song, Kyungdoo; Kim, Seonkyoung; Chua, Michelle; Succi, Marc D.; Conklin, John; Longo, Maria G. Figueiro; Ackman, Jeanne B.; Petranovic, Milena; Lev, Michael H.; Do, Synho

A scalable artificial intelligence platform that automatically finds copy number variations (CNVs) in journal articles and transforms them into a database: CNV extraction, transformation, and loading AI (CNV-ETLAI)

COMPUTERS IN BIOLOGY AND MEDICINE

IF6.3

2022-05-01

PREAI

Choi, Jongmun; Jeon, Soomin; Kim, Doyun; Chua, Michelle; Do, Synho

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model

NATURE COMMUNICATIONS

IF15.7

2022-04-06

OAAI

Kim, Doyun; Chung, Joowon; Choi, Jongmun; Succi, Marc D.; Conklin, John; Longo, Maria Gabriela Figueiro; Ackman, Jeanne B.; Little, Brent P.; Petranovic, Milena; Kalra, Mannudeep K.; Lev, Michael H.; Do, Synho

Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs

RADIOLOGY

IF15.2

2020-01-01

166

PREAI

Sim, Yongsik; Chung, Myung Jin; Kotter, Elmar; Yune, Sehyo; Kim, Myeongchan; Do, Synho; Han, Kyunghwa; Kim, Hanmyoung; Yang, Seungwook; Lee, Dong-Jae; Choi, Byoung Wook

Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction

SCIENTIFIC REPORTS

IF3.9

2019-10-29

OAAI

Lee, Hyunkwang; Huang, Chao; Yune, Sehyo; Tajmir, Shahein H.; Kim, Myeongchan; Do, Synho

An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets

NATURE BIOMEDICAL ENGINEERING

IF26.6

2018-12-17

304

PREAI

Lee, Hyunkwang; Yune, Sehyo; Mansouri, Mohammad; Kim, Myeongchan; Tajmir, Shahein H.; Guerrieri, Claude E.; Ebert, Sarah A.; Pomerantz, Stuart R.; Romero, Javier M.; Kamalian, Shahmir; Gonzalez, Ramon G.; Lev, Michael H.; Do, Synho

Current Applications and Future Impact of Machine Learning in Radiology 机器学习在放射学中的当前应用和未来影响

RADIOLOGY

IF15.2

2018-08-01

540

OAAI

Choy, Garry; Khalilzadeh, Omid; Michalski, Mark; Do, Synho; Samir, Anthony E.; Pianykh, Oleg S.; Geis, J. Raymond; Pandharipande, Pari V.; Brink, James A.; Dreyer, Keith J.

Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment (DynaMITE)

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY

IF5.1

2018-05-01

PREAI

McCarthy, Colin J.; Yu, Alvin Y. C.; Do, Synho; Dawson, Steven L.; Uppot, Raul N.

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success 放射学中的人工智能和机器学习: 机遇，挑战，陷阱和成功标准

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY

IF5.1

2018-03-01

429

PREAI

Thrall, James H.; Li, Xiang; Li, Quanzheng; Cruz, Cinthia; Do, Synho; Dreyer, Keith; Brink, James

Ultra-low dose abdominal MDCT: Using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study (vol 84, pg 2, 2015)

EUROPEAN JOURNAL OF RADIOLOGY

IF3.3

2016-01-01

PREAI

Khawaja, Ranish Deedar Ali; Singh, Sarabjeet; Blake, Michael; Harisinghani, Mukesh; Choy, Garry; Karaosmanoglu, Ali; Padole, Atul; Do, Synho; Brown, Kevin; Thompson, Richard; Morton, Thomas; Raihani, Nilgoun; Koehler, Thomas; Kalra, Mannudeep K.

Ultra-low dose abdominal MDCT: Using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study

EUROPEAN JOURNAL OF RADIOLOGY

IF3.3

2015-01-01

PREAI

Khawaja, Ranish Deedar Ali; Singh, Sarabjeet; Blake, Michael; Harisinghani, Mukesh; Choy, Gary; Karosmangulu, Ali; Padole, Atul; Do, Synho; Brown, Kevin; Thompson, Richard; Morton, Thomas; Raihani, Nilgoun; Koehler, Thomas; Kalra, Mannudeep K.

研究方向