Rupsa Bhattacharjee, PhD

Title(s)Associate Specialist, Radiology
SchoolSchool of Medicine
Address1700 4th Street
San Francisco CA 94158
Emailrupsa.bhattacharjee@ucsf.edu
ORCID ORCID Icon0000-0001-9893-3527 Additional info
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    Collapse Biography 
    Collapse Education and Training
    Indian Institute of Technology (IIT), Delhi , New Delhi, IndiaPhD10/2021Biomedical Engineering
    Jadavpur University, IndiaM.E.06/2013Biomedical Engineering
    University of Kalyani, IndiaB.Tech07/2011Electronics & Instrumentation Engineering
    Collapse Awards and Honors
    Philips Healthcare, Netherlands2019  - 2020Best “MRI Clinical Application Specialist” : Silver Medal
    International Society of Magnetic Resonance Imaging in Medicine2019Suma cum Laude Award for Abstract:ISMRM 2019, Montreal, Canada
    International Society of Magnetic Resonance Imaging in Medicine2019Magna cum Laude Awardfor Abstract:ISMRM 2019, Montreal, Canada
    International Society of Magnetic Resonance Imaging in Medicine2019Educational Travel Stipend Award: ISMRM 2019, Montreal, Canada
    International Society of Magnetic Resonance Imaging in Medicine2018Educational Travel Stipend Award, ISMRM 2018, Paris, France
    Philips Health System recognitions2015“YCC: Your contribution counts”
    Philips Health System recognitions2014“YCC: Your contribution counts”

    Collapse Overview 
    Collapse Overview
    Rupsa Bhattacharjee, PhD is a Post-Doctoral Associate Specialist in the Radiology and Biomedical Imaging Department.She is a medical imaging and image processing researcher with a primary interest in developing algorithms for to improve the utility of MRI imaging as diagnostic and prognostic tool. She obtained her doctoral degree in Biomedical Engineering working on Susceptibility weighted MR imaging (SWI) in human subjects with tumors and acute ischemic stroke. After graduation, in 2021, she joined the Musculoskeletal and Imaging Research Group at UCSF as post-doctoral fellow to study joint diseases with compositional MRI techniques combined with machine learning tools.

    She has worked as MRI Application Specialist in Philips Healthcare for 8 years, closely with various healthcare facilities to set up and optimize MRI scan acquisition parameters according to curtailed needs (1.5T & 3.0T). During her years in industry, she has partnered with Clinical scientists to jointly run MRI projects on test and trial basis in India market Philips MRI collaborative research centers. [New product introduction and First-of-kind trials: Compressed SENSE, Amide Proton Transfer, Ultra-short TE, Multi-Nuclei Spectroscopy, Spiral acquisition, Quantitative Susceptibility Mapping, IVIM, Elastography etc.] She has been an active part of Philips India AI-ambassadors team for AI based knowledge sharing and educational, collaborative approaches.

    In her current role, she is focused in exploring the role of machine learning to extract imaging biomarkers of several musculoskeletal conditions such as knee and hip osteoarthritis. She works on finding the complex interactions between morphological, biochemical and biomechanics aspects of the joints as a whole. She also is interested and works on sequencing MRI pulse codes for novel contrast mechanisms.

    Collapse Bibliographic 
    Collapse Publications
    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. Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation. Neuroradiology. 2022 Sep; 64(9):1801-1818. Bhattacharjee R, Gupta M, Singh T, Sharma S, Khanna G, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A, Gupta RK. PMID: 35435463.
      View in: PubMed   Mentions:    Fields:    
    2. Penumbra quantification from MR SWI-DWI mismatch and its comparison with MR ASL PWI-DWI mismatch in patients with acute ischemic stroke. NMR Biomed. 2021 07; 34(7):e4526. Bhattacharjee R, Gupta RK, Das B, Dixit VK, Gupta P, Singh A. PMID: 33880799.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    3. Differentiating hemorrhage and vasculature ITSS in SWI-magnitude images in intracranial Glioma: machine-learning and radiomic based approach. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):3250. Bhattacharjee R, Gupta RK, Parvaze SP, Patir R, Vaishya S, Ahlawat S, Singh A.
    4. Evaluating the role of T2-weighted-imaging in acute ischemic stroke to accelerate routine Stroke-MRI protocol. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):3813. Dhawan S, Afshan I, Bhattacharjee R, Saha I.
    5. 2D Texture Analysis based approach for detection of Osteoporosis on 1.5T on T1-weighted MR images. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2021; 2021(29):0524. Krishnan P, Shah TJ, Godkhindi A, Bhattacharjee R, Pichai SK, Krishnan A, Dave B, Saha I.
    6. Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading. Eur J Radiol. 2020 Aug; 129:109049. Sasi S D, Ramaniharan AK, Bhattacharjee R, Gupta RK, Saha I, Van Cauteren M, Shah T, Gopalakrishnan K, Gupta A, Singh A. PMID: 32464580.
      View in: PubMed   Mentions: 2     Fields:    Translation:Humans
    7. Differentiating lymphoma from grade-IV glioma using susceptibility weighted imaging based texture feature at 3T MRI. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2020; 2020(28):1694. Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A.
    8. Penumbra Quantification from SWI visible Prominent Veins and its comparison with ASL-derived penumbra in patients with acute stroke. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2020; 2020(28):1788. Bhattacharjee R, Gupta RK, Dixit VK, Gupta P, Singh A.
    9. Evaluation of Gall Bladder Stones Using Susceptibility Weighted Imaging. J Comput Assist Tomogr. 2019 Sep/Oct; 43(5):747-754. Gupta RK, Neelavalli J, Gupta M, Ramaniharan AK, Sinha BK, Kriplani AK, Saini J, Verma RK, Verma MK, Bhattacharjee R, Saha I. PMID: 31356527.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    10. Quantitative vs. semiquantitative assessment of intratumoral susceptibility signals in patients with different grades of glioma. J Magn Reson Imaging. 2020 01; 51(1):225-233. Bhattacharjee R, Gupta RK, Patir R, Vaishya S, Ahlawat S, Singh A. PMID: 31087724.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    11. To Evaluate Effect of SENSE and CSENSE on Quantitative T1 and T2 mapping of Human Brain. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):4414. Sasi D, Singh A, Bhattacharjee R, Debnath A, Thakran S, Gupta RK, Saha I, Van MC.
    12. Quantitative intra-tumoral susceptibility-signal (ITSS) vasculature volume (IVV) using QSM vs R2* approach for Glioma Grading. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):0399. Bhattacharjee R, Neelavalli J, Gupta M, Thakran S, Sasi D, Gupta RK, Singh A.
    13. Comprehensive stroke protocol of less than six minutes: using Compressed-SENSE with valued addition of SWIp and Non-Contrast-3D-MRA. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):1188. Bhattacharjee R, Raj RK, Verma RK, Gupta RK, Singh A .
    14. Grading of glioma using a machine learning framework based on optimized features obtained from quantitative DCE-MRI and SWI. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2019; 2019(27):3071. Kar B, Sengupta A, Bhattacharjee R, Vats N, Yadav V, Sasi D, Gupta RK, Singh A.
    15. R2-Star & DCE-Perfusion MRI based Novel Approach for Classification of Intra Tumoral Susceptibility Signal (ITSS) into Haemorrhage, Non-Leaky Vessels and Leaky Vessels in Glioblastoma. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2018; 2018(26):5030. Singh A, Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S.
    16. Quantitative Micro-Vasculature Volume Assessment of Intra Tumoral Susceptibility Signal (ITSS) in differentiating Grade-III from IV glioma. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2018; 2018(26):3420. Bhattacharjee R, Budania P, Gupta PK, Gupta RK, Ahlawat S, Singh A.
    17. Comparison of Signal intensity measures with absolute T1 value quantification in patients undergoing serial follow up imaging in patients with neurocysticercosis. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2016; 2016(24). Gupta PK, Sahoo P, Singh AK, Garg RK, Bhattacharjee R, Gupta RK.
    18. Dynamic Contrast Enhanced perfusion MRI in pediatric brain tumors. Proceedings of International Society of Magnetic Resonance Imaging in Medicine. 2016; 2016(24). Bhattacharjee R, Sahoo P, Gupta PK, Gupta RK.
    19. Brain Tumor Detection from MR Images: Image Processing, Slicing and PCA Based Reconstruction. Proceedings published by IEEE, Computer Society of India.ISBN 978-1-4673-1825-9, IEEE Catalog Number.- CFP1272M-PRT. 2012; 97-101. Bhattacharjee R, Chakraborty M.
    20. Exudates, Retinal and Statistical Features Detection from Diabetic Retinopathy and Normal Fundus Images : An Automated Comparative Approach. Proceedings published by IEEE.ISBN 978-1-4673-2837-1, IEEE Catalog Number CFP1214T-PRT. 2012; 266-271. Bhattacharjee R, Chakraborty M.
    21. LPG-PCA Algorithm and Selective Thresholding based Automated Method:ALL & AML Blast Cells Detection and Counting. Proceedings published by IEEE. ISBN 978-1-4673-4698-6, IEEE Catalog Number.- CFP1207U-CDR. 2012. Bhattacharjee R, Chakraborty M.
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