Taman Upadhaya, PhD

Title(s)Associate Researcher, Radiation Oncology
SchoolSchool of Medicine
Address2340 Sutter Street, #5M3
San Francisco CA 94115
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    I am a postdoctoral researcher working in the department of radiation oncology at the University of California San Francisco (UCSF) Medical Center. I do biomedical data science. My research is focused on prognostic/predictive models for oncology using multi-omics data ( Histopathology (H&E and SHG images), PET/CT/MRI, genomics, radiomics, histomics, clinical and demographic information, ...) and "classical machine/deep learning" algorithms.

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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. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication. Nat Cancer. 2021 07; 2(7):709-722. Morin O, Vallières M, Braunstein S, Ginart JB, Upadhaya T, Woodruff HC, Zwanenburg A, Chatterjee A, Villanueva-Meyer JE, Valdes G, Chen W, Hong JC, Yom SS, Solberg TD, Löck S, Seuntjens J, Park C, Lambin P. PMID: 35121948.
      View in: PubMed   Mentions: 12     Fields:    Translation:Humans
    2. Comparison and Fusion of Machine Learning Algorithms for Prospective Validation of PET/CT Radiomic Features Prognostic Value in Stage II-III Non-Small Cell Lung Cancer. Diagnostics (Basel). 2021 Apr 09; 11(4). Sepehri S, Tankyevych O, Upadhaya T, Visvikis D, Hatt M, Cheze Le Rest C. PMID: 33918681; PMCID: PMC8069690.
      View in: PubMed   Mentions: 6  
    3. Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures. Radiother Oncol. 2020 12; 153:97-105. Sanduleanu S, Jochems A, Upadhaya T, Even AJG, Leijenaar RTH, Dankers FJWM, Klaassen R, Woodruff HC, Hatt M, Kaanders HJAM, Hamming-Vrieze O, van Laarhoven HWM, Subramiam RM, Huang SH, O'Sullivan B, Bratman SV, Dubois LJ, Miclea RL, Di Perri D, Geets X, Crispin-Ortuzar M, Apte A, Deasy JO, Oh JH, Lee NY, Humm JL, Schöder H, De Ruysscher D, Hoebers F, Lambin P. PMID: 33137396.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
    4. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology. 2020 05; 295(2):328-338. Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. PMID: 32154773; PMCID: PMC7193906.
      View in: PubMed   Mentions: 797     Fields:    Translation:Humans
    5. Qualitative and quantitative reproducibility of [18]fluoromethycholine PET/computed tomography in prostate cancer. Nucl Med Commun. 2020 Feb; 41(2):147-154. Pinto-Leite T, Tixier F, Upadhaya T, Gallais C, Perdrisot R, Cheze Le Rest C. PMID: 31939917.
      View in: PubMed   Mentions:    Fields:    Translation:HumansCTClinical Trials
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