Jae Ho Sohn

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Venues

Radiology

Radiology. Artificial intelligence

Journal of digital imaging

Radiology. Cardiothoracic imaging

Johns Hopkins University (MSC)

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

Education History

Johns Hopkins University Dec 20 2008 - Feb 25 2010

United States

MSC :: Applied Mathematics & Statistics

Publications

Jae Ho Sohn, Brandon K K Fields
Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT. Radiology 311 (1) (2024)
Jae Ho Sohn, Brandon K K Fields
Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT. Radiology 311 (1) (2024)
Gunvant R Chaudhari, Tengxiao Liu, Timothy L Chen, Gabby B Joseph, Maya Vella, Yoo Jin Lee, Thienkhai H Vu, Youngho Seo, Andreas M Rauschecker, Charles E McCulloch, Jae Ho Sohn
Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports. Radiology. Artificial intelligence 4 (4) (2022)
William Hsu, Jae Ho Sohn
Using Radiomics for Risk Stratification: Where We Need to Go. Radiology (2021)
Jae Ho Sohn, Yeshwant Reddy Chillakuru, Stanley Lee, Amie Y Lee, Tatiana Kelil, Christopher Paul Hess, Youngho Seo, Thienkhai Vu, Bonnie N Joe
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. Journal of digital imaging 33 (4) (2021)
Justin D Krogue, Kaiyang V Cheng, Kevin M Hwang, Paul Toogood, Eric G Meinberg, Erik J Geiger, Musa Zaid, Kevin C McGill, Rina Patel, Jae Ho Sohn, Alexandra Wright, Bryan F Darger, Kevin Andrew Padrez, Eugene Ozhinsky, Sharmila Majumdar, Valentina Pedoia
Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. Radiology. Artificial intelligence 2 (2) (2020)
Jeawon Yang, Jae Ho Sohn, Spencer C Behr, Grant T Gullberg, Youngho Seo
CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls. Radiology. Artificial intelligence 3 (2) (2020)
Claudio E von Schacky, Jae Ho Sohn, Felix Liu, Eugene Ozhinsky, Pia M Jungmann, Lorenzo Nardo, Magdalena Posadzy, Sarah C Foreman, Michael C Nevitt, Thomas M Link, Valentina Pedoia
Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs. Radiology 295 (1) (2020)
Brett M Elicker, Jae Ho Sohn
Radiomics and Computerized Analysis of CT Images: Looking Forward. Radiology. Cardiothoracic imaging 2 (6) (2020)
Hari Trivedi, Joseph Mesterhazy, Benjamin Laguna, Thienkhai Vu, Jae Ho Sohn
Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. Journal of digital imaging 31 (2) (2019)
Yiming Ding, Jae Ho Sohn, Michael G Kawczynski, Hari Trivedi, Roy Harnish, Nathaniel W Jenkins, Dmytro Lituiev, Timothy P Copeland, Mariam S Aboian, Carina Mari Aparici, Spencer C Behr, Robert R Flavell, Shih-Ying Huang, Kelly A Zalocusky, Lorenzo Nardo, Youngho Seo, Randall A Hawkins, Miguel Hernandez Pampaloni, Dexter Hadley, Benjamin L Franc
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain. Radiology 290 (2) (2018)
Ju Gang Nam, Sunggyun Park, Eui Jin Hwang, Jong Hyuk Lee, Kwang-Nam Jin, Kun Young Lim, Thienkai Huy Vu, Jae Ho Sohn, Sangheum Hwang, Jin Mo Goo, Chang Min Park
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs. Radiology 290 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jae Ho Sohn