Jae Ho Sohn, MD, MS
Assistant Professor
Radiology
School of Medicine

His work has received media coverage from Washington Post, Times UK, Scientific American, AuntMinnie Newsletter, and others. He participated in machine learning competitions, scoring top 2% in the Kaggle Data Science Bowl for lung cancer detection. He has won the global oncology award from the Stanford Health++ hackathon.

He is an education co-chair of the UCSF Center for Intelligent Imaging, and mentors undergraduate, medical students, residents, scientists, and engineers who wish to learn about data science projects in radiology. A diverse group of students have joined the team from around the world (given the remote nature of many projects in the group). Many have won the RSNA trainee research prizes, RSNA certificate of merit awards, and scholarships. They are currently at leading CS PhD programs, medical schools, and data science companies, conducting data science projects in radiology.

Current research projects span lung cancer screening, big data based imaging biomarker discovery in chest imaging, clinical translation of 0.55T Lung MRI, radiological text processing, content based image retrieval, similar image and text query, and integration of machine learning innovations to clinical radiology practice. Examples projects include longitudinal lung nodule tracking & characterization from chest CT, patient level lung cancer risk stratification in lung cancer screening, generation of radiology specific word embedding, automated radiology protocoling, automated detection of urgent findings from radiology text report, and prediction of healthcare cost from chest radiographs.

The team seeks interested students, scientists, engineers, and post-doctoral scholars. Please reach out with a CV and any areas or projects of interest.

• Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study.
  Scientific reports 2022 Sohn JH, Chen Y, Lituiev D, Yang J, Ordovas K, Hadley D, Vu TH, Franc BL, Seo Y
• Clinical language search algorithm from free-text: facilitating appropriate imaging.
  BMC medical imaging 2022 Chaudhari GR, Chillakuru YR, Chen TL, Pedoia V, Vu TH, Hess CP, Seo Y, Sohn JH
• Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative.
  Osteoarthritis and cartilage 2021 Joseph GB, McCulloch CE, Nevitt MC, Link TM, Sohn JH
• Longitudinal Analysis of the Effect of Repeated Transarterial Chemoembolization for Liver Cancer on Portal Venous Pressure.
  Frontiers in oncology 2021 Frangakis C, Sohn JH, Bas A, Chapiro J, Schernthaner RE, Lin M, Hamilton JP, Pawlik TM, Hong K, Duran R
• AI MSK clinical applications: cartilage and osteoarthritis.
  Skeletal radiology 2021 Joseph GB, McCulloch CE, Sohn JH, Pedoia V, Majumdar S, Link TM
• Using Radiomics for Risk Stratification: Where We Need to Go.
  Radiology 2021 Hsu W, Sohn JH
• Federated learning for predicting clinical outcomes in patients with COVID-19.
  Nature medicine 2021 Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, Abidin AZ, Liu A, Costa AB, Wood BJ, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan P, Xu D, Wu D, Huang E, Kitamura FC, Lacey G, de Antônio Corradi GC, Nino G…
• Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing.
  BMC medical informatics and decision making 2021 Chillakuru YR, Munjal S, Laguna B, Chen TL, Chaudhari GR, Vu T, Seo Y, Narvid J, Sohn JH
• Algorithmic Prediction of Delayed Radiology Turn-Around-Time during Non-Business Hours.
  Academic radiology 2021 Shah V, Chillakuru YR, Rybkin A, Seo Y, Vu T, Sohn JH
• High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.
  BMC medical imaging 2021 Chillakuru YR, Kranen K, Doppalapudi V, Xiong Z, Fu L, Heydari A, Sheth A, Seo Y, Vu T, Sohn JH
• CT Features of Benign Intrapulmonary Lymph Nodes in Pediatric Patients With Known Extrapulmonary Solid Malignancy.
  AJR. American journal of roentgenology 2021 Cho JY, Winant AJ, Sohn JH, Vargas SO, Lee EY
• Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography.
  Journal of thoracic imaging 2021 Sohn JH, Behr SC, Hernandez Pampaloni M, Seo Y
• Federated Learning used for predicting outcomes in SARS-COV-2 patients.
  Research square 2021 Flores M, Dayan I, Roth H, Zhong A, Harouni A, Gentili A, Abidin A, Liu A, Costa A, Wood B, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan C, Xu D, Wu D, Huang E, Kitamura F, Lacey G, César de Antônio Corradi…
• Radiomics and Computerized Analysis of CT Images: Looking Forward.
  Radiology. Cardiothoracic imaging 2020 Elicker BM, Sohn JH
• Domain specific word embeddings for natural language processing in radiology.
  Journal of biomedical informatics 2020 Chen TL, Emerling M, Chaudhari GR, Chillakuru YR, Seo Y, Vu TH, Sohn JH
• 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 2020 Yang J, Sohn JH, Behr SC, Gullberg GT, Seo Y
• An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow.
  Journal of digital imaging 2020 Sohn JH, Chillakuru YR, Lee S, Lee AY, Kelil T, Hess CP, Seo Y, Vu T, Joe BN
• A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.
  Journal of the American Academy of Dermatology 2020 Sohn GK, Sohn JH, Yeh J, Chen Y, Brian Jiang SI
• Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning.
  Radiology. Artificial intelligence 2020 Krogue JD, Cheng KV, Hwang KM, Toogood P, Meinberg EG, Geiger EJ, Zaid M, McGill KC, Patel R, Sohn JH, Wright A, Darger BF, Padrez KA, Ozhinsky E, Majumdar S, Pedoia V
• Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
  JAMA network open 2020 Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, Morrell S, Wojna Z, Ahsen ME, Asif U, Jimeno Yepes A, Yohanandan …
• Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs.
  Radiology 2020 von Schacky CE, Sohn JH, Liu F, Ozhinsky E, Jungmann PM, Nardo L, Posadzy M, Foreman SC, Nevitt MC, Link TM, Pedoia V
• Papillary and sclerosing lesions of the breast detected and biopsied by MRI: Clinical management, upgrade rate, and association with apocrine metaplasia.
  The breast journal 2019 Ring NY, diFlorio-Alexander RM, Bond JS, Rosenkranz KM, Cervantes E, Sohn JH, Marotti JD
• Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning.
  Journal of digital imaging 2019 Trivedi HM, Panahiazar M, Liang A, Lituiev D, Chang P, Sohn JH, Chen YY, Franc BL, Joe B, Hadley D
• Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET
  Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET 2018 Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo
• A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain.
  Radiology 2018 Ding Y, Sohn JH, Kawczynski MG, Trivedi H, Harnish R, Jenkins NW, Lituiev D, Copeland TP, Aboian MS, Mari Aparici C, Behr SC, Flavell RR, Huang SY, Zalocusky KA, Nardo L, Seo Y, Hawkins RA, Hernandez …
• Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
  Radiology 2018 Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Vu TH, Sohn JH, Hwang S, Goo JM, Park CM
• Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.
  Journal of digital imaging 2018 Trivedi H, Mesterhazy J, Laguna B, Vu T, Sohn JH
• Anti-neuroinflammatory effect of 6,8,1'-tri-O-methylaverantin, a metabolite from a marine-derived fungal strain Aspergillus sp., via upregulation of heme oxygenase-1 in lipopolysaccharide-activated microglia.
  Neurochemistry international 2017 Kim KW, Kim HJ, Sohn JH, Yim JH, Kim YC, Oh H
• Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose.
  Cardiovascular and interventional radiology 2017 Schernthaner RE, Haroun RR, Nguyen S, Duran R, Sohn JH, Sahu S, Chapiro J, Zhao Y, Radaelli A, van der Bom IM, Mauti M, Hong K, Geschwind JH, Lin M
• Prospective Comparison of Diagnostic Accuracy Between Point-of-Care and Conventional Ultrasound in a General Diagnostic Department: Implications for Resource-Limited Settings.
  Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 2017 Haider SJA, diFlorio-Alexander R, Lam DH, Cho JY, Sohn JH, Harris R
• Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy.
  Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 2016 Sohn JH, Duran R, Zhao Y, Fleckenstein F, Chapiro J, Sahu S, Schernthaner RE, Qian T, Lee H, Zhao L, Hamilton J, Frangakis C, Lin M, Salem R, Geschwind JF
• Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?
  Radiology 2016 Sahu S, Schernthaner R, Ardon R, Chapiro J, Zhao Y, Sohn JH, Fleckenstein F, Lin M, Geschwind JF, Duran R
• Transarterial Chemoembolization for the Treatment of Advanced-Stage Hepatocellular Carcinoma.
  Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 2016 Zhao Y, Duran R, Chapiro J, Sohn JH, Sahu S, Fleckenstein F, Smolka S, Pawlik TM, Schernthaner R, Zhao L, Lee H, He S, Lin M, Geschwind JF
• Renal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis.
  Translational oncology 2016 Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Marshall K, Lin M, Gebauer B, Chapiro J, Salem R, Geschwind JF
• Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT.
  Cardiovascular and interventional radiology 2016 Schernthaner RE, Haroun RR, Duran R, Lee H, Sahu S, Sohn JH, Chapiro J, Zhao Y, Gorodetski B, Fleckenstein F, Smolka S, Radaelli A, van der Bom IM, Lin M, Geschwind JF
• 3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival.
  European radiology 2016 Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Zhao Y, Hamm B, Gebauer B, Lin M, Geschwind JF, Chapiro J
• Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors.
  Radiology 2015 Tacher V, Duran R, Lin M, Sohn JH, Sharma KV, Wang Z, Chapiro J, Gacchina Johnson C, Bhagat N, Dreher MR, Schäfer D, Woods DL, Lewis AL, Tang Y, Grass M, Wood BJ, Geschwind JF
• Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach.
  Radiology 2015 Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, Chao M, Wang Z, Frangakis C, Sohn JH, Maltenfort MG, Pawlik T, Geschwind JF
• Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement.
  European radiology 2015 Chockalingam A, Duran R, Sohn JH, Schernthaner R, Chapiro J, Lee H, Sahu S, Nguyen S, Geschwind JF, Lin M
• Feasibility of a Modified Cone-Beam CT Rotation Trajectory to Improve Liver Periphery Visualization during Transarterial Chemoembolization.
  Radiology 2015 Schernthaner RE, Chapiro J, Sahu S, Withagen P, Duran R, Sohn JH, Radaelli A, van der Bom IM, Geschwind JF, Lin M
• Class 3 semaphorin mediates dendrite growth in adult newborn neurons through Cdk5/FAK pathway.
  PloS one 2013 Ng T, Ryu JR, Sohn JH, Tan T, Song H, Ming GL, Goh EL
• Quality initiatives: statistical control charts: simplifying the analysis of data for quality improvement.
  Radiographics : a review publication of the Radiological Society of North America, Inc 2012 Cheung YY, Jung B, Sohn JH, Ogrinc G
• Simultaneous determination of N-hydroxymethyl-N-methylformamide, N-methylformamide and N-acetyl-S-(N-methylcarbamoyl)cystein in urine samples from workers exposed to N,N-dimethylformamide by liquid chromatography-tandem mass spectrometry.
  Journal of pharmaceutical and biomedical analysis 2005 Sohn JH, Han MJ, Lee MY, Kang SK, Yang JS