Jae Ho Sohn, MD, MS

TitleResident Physician
InstitutionUniversity of California San Francisco
Address505 Parnassus Avenue
San Francisco CA 94117
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    Collapse Education and Training
    Johns Hopkins University, Baltimore, MDBA2010Applied Math & Statistics
    Johns Hopkins University, Baltimore, MDMS2010Applied Math & Statistics
    Geisel School of Medicine at Dartmouth, Hanover, NHMD2015
    Santa Clara Valley Medical Center, San Jose, CAIntern2016Transitional Year

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    I am interested in the intersection of big data and radiology. As a physician with engineering background, I have been broadly involved in projects that use mathematical techniques to tackle research questions in radiology. I am particularly excited about using deep learning to discover novel imaging biomarkers and develop algorithms that can help patients. My work has received media coverage twice on the AuntMinnie Newsletter. I enjoy participating in machine learning competitions, recently scoring top 2% in the Kaggle Data Science Bowl for lung cancer detection. I have won the global oncology award from the Stanford Health++ hackathon.

    I am the founder and leader of a multidisciplinary research team, Big Data in Radiology (BDRad). We train students and recent graduates to become proficient in medical data science and machine learning. Our current research projects span computer vision, natural language processing, and translation of engineering innovations to clinical practice. Examples projects include lung nodule characterization from chest CT, rib fracture detection from chest x-rays, integration of survival analysis into convolutional neural network, natural language processing of free-text clinical history to automate radiology protocoling, automated detection of urgent findings from radiology text report, and automated breast density determination from mammograms.

    Our team is equipped with state of the art GPU servers and network attached storage devices that harbor over 15TB of well-organized open source, semi-public, and protected clinical radiological data. Our team has created multiple in-house Tensorflow/Keras and PyTorch repositories to facilitate conducting deep learning projects in computer vision and natural language processing.

    Please do not hesitate to contact me with questions, advice, and feedback. For those interested in joining and/or collaborating with the BDRad group - please contact me via email (sohn87@gmail.com).

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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Trivedi H, Mesterhazy J, Laguna B, Vu T, Sohn J. Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. J Digit Imaging. 2018 Apr; 31(2):245-251. PMID: 28924815.
      View in: PubMed
    2. Schernthaner RE, Haroun RR, Nguyen S, Duran R, Sohn J, Sahu S, Chapiro J, Zhao Y, Radaelli A, van der Bom IM, Mauti M, Hong K, Geschwind JH, Lin M. Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose. Cardiovasc Intervent Radiol. 2018 Mar; 41(3):502-508. PMID: 29090348.
      View in: PubMed
    3. Haider SJA, diFlorio-Alexander R, Lam DH, Cho JY, Sohn J, Harris R. Prospective Comparison of Diagnostic Accuracy Between Point-of-Care and Conventional Ultrasound in a General Diagnostic Department: Implications for Resource-Limited Settings. J Ultrasound Med. 2017 Jul; 36(7):1453-1460. PMID: 28339133.
      View in: PubMed
    4. Ngan NT, Quang TH, Kim KW, Kim HJ, Sohn J, Kang DG, Lee HS, Kim YC, Oh H. Anti-inflammatory effects of secondary metabolites isolated from the marine-derived fungal strain Penicillium sp. SF-5629. Arch Pharm Res. 2017 Mar; 40(3):328-337. PMID: 28074397.
      View in: PubMed
    5. Sohn J, 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. Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy. Clin Gastroenterol Hepatol. 2017 May; 15(5):746-755.e4. PMID: 27847278.
      View in: PubMed
    6. Sahu S, Schernthaner R, Ardon R, Chapiro J, Zhao Y, Sohn J, Fleckenstein F, Lin M, Geschwind JF, Duran R. 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. 2017 06; 283(3):883-894. PMID: 27831830.
      View in: PubMed
    7. Zhao Y, Duran R, Chapiro J, Sohn J, Sahu S, Fleckenstein F, Smolka S, Pawlik TM, Schernthaner R, Zhao L, Lee H, He S, Lin M, Geschwind JF. Transarterial Chemoembolization for the Treatment of Advanced-Stage Hepatocellular Carcinoma. J Gastrointest Surg. 2016 12; 20(12):2002-2009. PMID: 27714643.
      View in: PubMed
    8. Fleckenstein FN, Schernthaner RE, Duran R, Sohn J, Sahu S, Marshall K, Lin M, Gebauer B, Chapiro J, Salem R, Geschwind JF. Renal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis. Transl Oncol. 2016 Oct; 9(5):377-383. PMID: 27641641.
      View in: PubMed
    9. Schernthaner RE, Haroun RR, Duran R, Lee H, Sahu S, Sohn J, Chapiro J, Zhao Y, Gorodetski B, Fleckenstein F, Smolka S, Radaelli A, van der Bom IM, Lin M, Geschwind JF. Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT. Cardiovasc Intervent Radiol. 2016 Oct; 39(10):1429-37. PMID: 27380872; PMCID: PMC5009166.
    10. Fleckenstein FN, Schernthaner RE, Duran R, Sohn J, Sahu S, Zhao Y, Hamm B, Gebauer B, Lin M, Geschwind JF, Chapiro J. 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. Eur Radiol. 2016 Sep; 26(9):3243-52. PMID: 26762942; PMCID: PMC4942412.
    11. Tacher V, Duran R, Lin M, Sohn J, 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. Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors. Radiology. 2016 Jun; 279(3):741-53. PMID: 26678453; PMCID: PMC4886703 [Available on 06/01/17].
    12. Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, Chao M, Wang Z, Frangakis C, Sohn J, Maltenfort MG, Pawlik T, Geschwind JF. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology. 2016 Jan; 278(1):275-84. PMID: 26131913; PMCID: PMC4695977.
    13. Chockalingam A, Duran R, Sohn J, Schernthaner R, Chapiro J, Lee H, Sahu S, Nguyen S, Geschwind JF, Lin M. Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement. Eur Radiol. 2016 Jan; 26(1):103-13. PMID: 25994198; PMCID: PMC4654989.
    14. Schernthaner RE, Chapiro J, Sahu S, Withagen P, Duran R, Sohn J, Radaelli A, van der Bom IM, Geschwind JF, Lin M. Feasibility of a Modified Cone-Beam CT Rotation Trajectory to Improve Liver Periphery Visualization during Transarterial Chemoembolization. Radiology. 2015 Dec; 277(3):833-41. PMID: 26000642; PMCID: PMC4654716.
    15. Ng T, Ryu JR, Sohn J, Tan T, Song H, Ming GL, Goh EL. Class 3 semaphorin mediates dendrite growth in adult newborn neurons through Cdk5/FAK pathway. PLoS One. 2013; 8(6):e65572. PMID: 23762397; PMCID: PMC3677868.
    16. Cheung YY, Jung B, Sohn J, Ogrinc G. Quality initiatives: statistical control charts: simplifying the analysis of data for quality improvement. Radiographics. 2012 Nov-Dec; 32(7):2113-26. PMID: 23150861.
      View in: PubMed
    17. Sohn J, Han MJ, Lee MY, Kang SK, Yang JS. 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. J Pharm Biomed Anal. 2005 Feb 07; 37(1):165-70. PMID: 15664757.
      View in: PubMed
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