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Valentina Pedoia, PhD

Address1700 4th St
San Francisco CA 94158
Phone415-514-9242
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    Collapse Biography 
    Collapse Education and Training
    Politecnico of Milano, ItalyB.S2005Telecommunication Engineering, Signal Processing Division
    Politecnico of Milano, ItalyM.Sc2008Telecommunication Engineering, Signal Processing Division
    Insubria University, ItalyPh.D2013Medical Computer Science
    Collapse Awards and Honors
    Margaret Hart Surbeck Laboratory of Advanced Imaging 20159th Annual Surbeck Young Investigator's Award
    International Society of Magn. Reson. in Medicine2015Magna Cum Lode Abstract; ISMRM 23th Annual Meeting and Exhibition
    International Society of Magn. Reson. in Medicine 2015Best Poster at the Musculoskeletal MR study group, ISMRM 23th Annual Meeting and Exhibition
    International Society of Magn. Reson. in Medicine 2015Travel Stipend Award at the ISMRM 8th International Workshop on imaging based measures of OA
    International Society of Magn. Reson. in Medicine 2015Highly ranked abstract at the ISMRM 8th International Workshop on imaging based measures of OA
    UCSF and UC Davis2015 Research Grants in Women’s Health, SCOR (Principal Investigator)
    UCSF2015Bruce Hasegawa Award

    Collapse Overview 
    Collapse Overview
    Valentina Pedoia, PhD, is a Specialist in the Musculoskeletal and Imaging Research Group.
    She is a data scientist with main interest in developing algorithms for advanced computer vision and machine learning for improving the usage of non-invasive imaging as diagnostic and prognostic tools.
    She obtained a doctoral degree in computer science working on features extraction from functional and structural brain MRI in subjects with glial tumors. After graduation, in 2013, she joined the Musculoskeletal and Imaging Research Group at UCSF as post-doctoral fellow. Her role was in providing support and expertise in medical computer vision, with a focus to reduce human effort and to extract semantic features from MRI to study degenerative joint disease.
    Her current main research focus is on exploring the role of machine learning in the extraction of contributors to osteoarthritis (OA). She is studying analytics to model the complex interactions between morphological, biochemical and biomechanical aspects of the knee joint as a whole; deep learning convolutional neural network for musculoskeletal tissue segmentation and for the extraction of silent features from quantitative relaxation maps for a comprehensive study of the biochemical articular cartilage composition; with ultimate goal of developing a completely data-driven model that is able to extract imaging features and use them to identify risk factors and predict outcomes.
    Dr. Pedoia’s recent work on machine learning applied to OA was awarded as annual scientific highlights of the 25th conference of the International Society of Magnetic
    Resonance In Medicine (ISMRM 2017) and selected as best paper presented at the MRI drug discovery study group.


    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.
    List All   |   Timeline
    1. Samaan MA, Pedoia V, Zhang AL, Gallo MC, Link TM, Souza RB, Majumdar S. A Novel MR-based Method for Detection of Cartilage Delamination in Femoroacetabular Impingement Patients. J Orthop Res. 2017 Aug 01. PMID: 28762536.
      View in: PubMed
    2. Pedoia V, Samaan MA, Inamdar G, Gallo MC, Souza RB, Majumdar S. Study of the Interactions Between Proximal Femur 3D Bone Shape, Cartilage Health and Biomechanics in Patients with Hip Osteoarthritis. J Orthop Res. 2017 Jul 08. PMID: 28688198.
      View in: PubMed
    3. Pedoia V, Haefeli J, Morioka K, Teng HL, Nardo L, Souza RB, Ferguson AR, Majumdar S. MRI and biomechanics multidimensional data analysis reveals R2 -R1ρ as an early predictor of cartilage lesion progression in knee osteoarthritis. J Magn Reson Imaging. 2017 May 04. PMID: 28471543.
      View in: PubMed
    4. Lansdown DA, Pedoia V, Zaid M, Amano K, Souza RB, Li X, Ma CB. Variations in Knee Kinematics After ACL Injury and After Reconstruction Are Correlated With Bone Shape Differences. Clin Orthop Relat Res. 2017 Apr 27. PMID: 28451863.
      View in: PubMed
    5. Samaan MA, Facchetti L, Pedoia V, Tanaka MS, Link TM, Souza RB, Ma CB, Li X. Cyclops lesions are associated with altered gait patterns and medial knee joint cartilage degeneration at one year after ACL-reconstruction. J Orthop Res. 2017 Jan 27. PMID: 28128475.
      View in: PubMed
    6. Amano K, Li AK, Pedoia V, Koff MF, Krych AJ, Link TM, Potter H, Rodeo S, Li X, Ma CB, Majumdar S. Effects of Surgical Factors on Cartilage Can Be Detected Using Quantitative Magnetic Resonance Imaging After Anterior Cruciate Ligament Reconstruction. Am J Sports Med. 2017 Apr; 45(5):1075-1084. PMID: 28768432.
      View in: PubMed
    7. Pedoia V, Russell C, Randolph A, Li X, Majumdar S. Principal component analysis-T1? voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects. Quant Imaging Med Surg. 2016 Dec; 6(6):623-633. PMID: 28090441.
      View in: PubMed
    8. Gong J, Pedoia V, Facchetti L, Link TM, Ma CB, Li X. Bone marrow edema-like lesions (BMELs) are associated with higher T1? and T2 values of cartilage in anterior cruciate ligament (ACL)-reconstructed knees: a longitudinal study. Quant Imaging Med Surg. 2016 Dec; 6(6):661-670. PMID: 28090444.
      View in: PubMed
    9. Russell C, Pedoia V, Souza RB, Majumdar S. Cross-sectional and Longitudinal Study of the Impact of Posterior Meniscus Horn Lesions on Adjacent Cartilage Composition, Patient-Reported Outcomes and Gait Biomechanics in Subjects without Radiographic Osteoarthritis. Osteoarthritis Cartilage. 2016 Nov 9. PMID: 27838383.
      View in: PubMed
    10. Ku E, Pedoia V, Tanaka M, Heilmeier U, Imboden J, Graf J, Link T, Li X, et al. Evaluating radiocarpal cartilage matrix changes 3-months after anti-TNF treatment for rheumatoid arthritis using MR T1? imaging. J Magn Reson Imaging. 2016 Sep 23. PMID: 27661002.
      View in: PubMed
    11. Pedoia V, Gallo MC, Souza RB, Majumdar S, et al. Longitudinal study using voxel-based relaxometry: Association between cartilage T1? and T2 and patient reported outcome changes in hip osteoarthritis. J Magn Reson Imaging. 2016 Sep 14. PMID: 27626787.
      View in: PubMed
    12. Russell C, Pedoia V, Majumdar S, et al. Composite metric R2 -R1? (1/T2 -1/T1? ) as a potential MR imaging biomarker associated with changes in pain after ACL reconstruction: A six-month follow-up. J Orthop Res. 2016 Aug 26. PMID: 27563836.
      View in: PubMed
    13. Pedoia V, Su F, Keiko A, Qi L, McCulloch CE, Souza RB, Link TM, Benjamin C, Li X, et al. Analysis of the articular cartilage T1? and T2 relaxation times changes after ACL reconstruction in injured and contralateral knees and relationships with bone shape. J Orthop Res. 2016 Aug 24. PMID: 27557479.
      View in: PubMed
    14. Pandit P, Talbott JF, Pedoia V, Dillon W, Majumdar S. T1? and T2 -based characterization of regional variations in intervertebral discs to detect early degenerative changes. J Orthop Res. 2016 May 26. PMID: 27227485.
      View in: PubMed
    15. Russell C, Pedoia V, Amano K, Potter H, Majumdar S. Baseline cartilage quality is associated with voxel-based T1? and T2 following ACL reconstruction: A multicenter pilot study. J Orthop Res. 2016 May 2. PMID: 27138363.
      View in: PubMed
    16. Amano K, Pedoia V, Su F, Souza RB, Li X, Ma CB. Persistent Biomechanical Alterations After ACL Reconstruction Are Associated With Early Cartilage Matrix Changes Detected by Quantitative MR. Orthop J Sports Med. 2016 Apr; 4(4):2325967116644421. PMID: 27169133.
      View in: PubMed
    17. Gallo MC, Wyatt C, Pedoia V, Kumar D, Lee S, Nardo L, Link TM, Souza RB, Majumdar S. T1? and T2 relaxation times are associated with progression of hip osteoarthritis. Osteoarthritis Cartilage. 2016 Aug; 24(8):1399-407. PMID: 26973330.
      View in: PubMed
    18. Pedoia V, Majumdar S, Link TM. Segmentation of joint and musculoskeletal tissue in the study of arthritis. MAGMA. 2016 Apr; 29(2):207-21. PMID: 26915082.
      View in: PubMed
    19. Su F, Pedoia V, Teng HL, Kretzschmar M, Lau BC, McCulloch CE, Link TM, Ma CB, Li X. The association between MR T1? and T2 of cartilage and patient-reported outcomes after ACL injury and reconstruction. Osteoarthritis Cartilage. 2016 Jul; 24(7):1180-9. PMID: 26850823.
      View in: PubMed
    20. Savic D, Pedoia V, Seo Y, Yang J, Bucknor M, Franc BL, Majumdar S. Imaging Bone-Cartilage Interactions in Osteoarthritis Using [(18)F]-NaF PET-MRI. Mol Imaging. 2016 Jan 01; 15:1536012116683597. PMID: 28654417.
      View in: PubMed
    21. Lau BC, Thuillier DU, Pedoia V, Chen EY, Zhang Z, Feeley BT, Souza RB. Inter- and intra-rater reliability of patellofemoral kinematic and contact area quantification by fast spin echo MRI and correlation with cartilage health by quantitative T1? MRI. Knee. 2016 Jan; 23(1):13-9. PMID: 26746045.
      View in: PubMed
    22. Wang A, Pedoia V, Su F, Abramson E, Kretzschmar M, Nardo L, Link TM, McCulloch CE, Jin C, Ma CB, Li X. MR T1? and T2 of meniscus after acute anterior cruciate ligament injuries. Osteoarthritis Cartilage. 2016 Apr; 24(4):631-9. PMID: 26620091.
      View in: PubMed
    23. Liu J, Pedoia V, Heilmeier U, Ku E, Su F, Khanna S, Imboden J, Graf J, Link T, Li X. High-temporospatial-resolution dynamic contrast-enhanced (DCE) wrist MRI with variable-density pseudo-random circular Cartesian undersampling (CIRCUS) acquisition: evaluation of perfusion in rheumatoid arthritis patients. NMR Biomed. 2016 Jan; 29(1):15-23. PMID: 26608949.
      View in: PubMed
    24. Pedoia V, Li X, Su F, Calixto N, Majumdar S. Fully automatic analysis of the knee articular cartilage T1? relaxation time using voxel-based relaxometry. J Magn Reson Imaging. 2016 Apr; 43(4):970-80. PMID: 26443990.
      View in: PubMed
    25. Li X, Pedoia V, Kumar D, Rivoire J, Wyatt C, Lansdown D, Amano K, Okazaki N, Savic D, Koff MF, Felmlee J, Williams SL, Majumdar S. Cartilage T1? and T2 relaxation times: longitudinal reproducibility and variations using different coils, MR systems and sites. Osteoarthritis Cartilage. 2015 Dec; 23(12):2214-23. PMID: 26187574; PMCID: PMC4663102 [Available on 12/01/16].
    26. Pedoia V, Lansdown DA, Zaid M, McCulloch CE, Souza R, Ma CB, Li X. Three-dimensional MRI-based statistical shape model and application to a cohort of knees with acute ACL injury. Osteoarthritis Cartilage. 2015 Oct; 23(10):1695-703. PMID: 26050865.
      View in: PubMed
    27. Zhou Y, Pandit P, Pedoia V, Rivoire J, Wang Y, Liang D, Li X, Ying L. Accelerating t1? cartilage imaging using compressed sensing with iterative locally adapted support detection and JSENSE. Magn Reson Med. 2016 Apr; 75(4):1617-29. PMID: 26010735.
      View in: PubMed
    28. Zaid M, Lansdown D, Su F, Pedoia V, Tufts L, Rizzo S, Souza RB, Li X, Ma CB. Abnormal tibial position is correlated to early degenerative changes one year following ACL reconstruction. J Orthop Res. 2015 Jul; 33(7):1079-86. PMID: 25721417.
      View in: PubMed
    29. Lansdown DA, Zaid M, Pedoia V, Subburaj K, Souza R, Benjamin C, Li X. Reproducibility measurements of three methods for calculating in vivo MR-based knee kinematics. J Magn Reson Imaging. 2015 Aug; 42(2):533-8. PMID: 25545617; PMCID: PMC4485602 [Available on 08/01/16].
    30. Binaghi E., Pedoia V, Balbi S. Collection and fuzzy estimation of truth labels in glial tumor segmentation studies. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2014.
    31. Binaghi E., Pedoia V, Guglielmin M. Snow cover thickness estimation using radial basis function networks. The Cryosphere. 2013; 3(7):841-845.
    32. Pedoia V, Strocchi S, Colli V, Binaghi E, Conte L. Functional magnetic resonance imaging: comparison between activation maps and computation pipelines in a clinical context. Magn Reson Imaging. 2013 May; 31(4):555-66. PMID: 23238417.
      View in: PubMed
    33. Pedoia V, Binaghi E. Automatic MRI 2D brain segmentation using graph searching technique. Int J Numer Method Biomed Eng. 2013 Sep; 29(9):887-904. PMID: 23757180.
      View in: PubMed
    34. Lecture Notes in Computer Science - Image Analysis and Processing. Fully Automatic Brain Tumor Segmentation by using Competitive EM and Graph Cut. 2979:568-578.
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