Synho Do - Concepedia

Author

Synho Do

Massachusetts General Hospital ORCID

Also Known As

Do, Synho, S Do, S. Do, Syn-Ho Do, Synho Do, Synho Do (659417)

108

Publications

5.7K

Citations

H-Index

Concepts

All Affiliations

Massachusetts General Hospital Harvard University Boston University Heidelberg University Samsung Medical Center

About

Synho Do is an author at Massachusetts General Hospital specializing in medical imaging, radiology, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Health Sciences	15	16	2.1K
2	Engineering	14	15	2.3K
3	Medicine	13	13	1.4K
4	Public Health	2	2	43
5	Social Sciences	1	1	41

Synho Do

Publications

4.5K

Citations

H-Index

Page 1

	Year	Citations
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success James H. Thrall, Xiang Li, Quanzheng Li, Journal of the American College of Radiology Artificial IntelligenceBiomedical Artificial IntelligenceEngineeringMachine LearningData Science	2018	692
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, Nature Biomedical Engineering Convolutional Neural NetworkEngineeringMachine LearningData ScienceIntelligent Diagnostics	2018	439
Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques Sarabjeet Singh, Mannudeep K. Kalra, Jiang Hsieh, Radiology	2010	437
Fully Automated Deep Learning System for Bone Age Assessment Hyunkwang Lee, Shahein Tajmir, Jenny Lee, Journal of Digital Imaging Convolutional Neural NetworkEngineeringMachine LearningOsteoporosisOrthopaedic Surgery	2017	434
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy? Junghwan Cho, Kyewook Lee, Ellie Shin, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningNecessary High AccuracyMuch Data	2015	276
Deep Convolutional Neural Network–based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs Yongsik Sim, Myung Jin Chung, Elmar Kotter, Radiology	2019	235
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis Hyunkwang Lee, Fabian M. Troschel, Shahein Tajmir, Journal of Digital Imaging Computed TomographyConvolutional Neural NetworkMedical Image SegmentationEngineeringMachine Learning	2017	163
Diffuse Lung Disease: CT of the Chest with Adaptive Statistical Iterative Reconstruction Technique Priyanka Prakash, Mannudeep K. Kalra, Jeanne B. Ackman, Radiology	2010	161
Comparison of Hybrid and Pure Iterative Reconstruction Techniques With Conventional Filtered Back Projection Sarabjeet Singh, Mannudeep K. Kalra, Synho Do, Journal of Computer Assisted Tomography	2012	138
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability Shahein Tajmir, Hyunkwang Lee, Randheer Shailam, Skeletal Radiology Artificial IntelligenceBone ImagingBone HealthMedical ImagingMusculoskeletal Imaging	2018	121

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