Valentina Pedoia, PhD

Asst. Professor in Residence


Valentina Pedoia, PhD, is an Assistant Professor in the Radiology and Biomedical Imaging Department. She is an Imaging scientist with a primary interest in developing algorithms for advanced computer vision and machine learning to improve the usage of non-invasive imaging as diagnostic and prognostic tool. She obtained her 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 to study degenerative joint diseases with compositional MRI techniques.
Dr Pedoia joined UCSF as Faculty In 2018. She is part of the Center of Intelligent Imaging where she serves as Co-director of the Educational Pillar. Her current research is focused in exploring the role of machine learning to extract imaging biomarkers of several musculoskeletal conditions including knee and hip Osteoarthritis, shoulder Instability and lower back pain. She develops analytics to model the complex interactions between morphological, biochemical and biomechanics aspects of the joints as a whole. Her goal is to develop efficient and effective data-driven models that able to extract imaging features and use them to identify risk factors, stratify patients and predict outcomes.
She has great interest in the clinical translation of novel technology, as such she is invested in making the image acquisition and processing faster, safer, and smoother for patients and clinicians.


Ph.D, 2013 - Medical Computer Science, Insubria University, Italy
M.Sc, 2008 - Telecommunication Engineering, Signal Processing Division, Politecnico of Milano, Italy
B.S, 2005 - Telecommunication Engineering, Signal Processing Division, Politecnico of Milano, Italy

Honors and Awards

Magna Cum Lode Abstract; ISMRM 23th Annual Meeting and Exhibition, International Society of Magn. Reson. in Medicine, 2015
Best Poster at the Musculoskeletal MR study group, ISMRM 23th Annual Meeting and Exhibition, International Society of Magn. Reson. in Medicine, 2015
Highly ranked abstract at the ISMRM 8th International Workshop on imaging based measures of OA, International Society of Magn. Reson. in Medicine, 2015
Travel Stipend Award at the ISMRM 8th International Workshop on imaging based measures of OA, International Society of Magn. Reson. in Medicine, 2015
9th Annual Surbeck Young Investigator's Award, Margaret Hart Surbeck Laboratory of Advanced Imaging, 2015
Bruce Hasegawa Award, UCSF, 2015
Research Grants in Women’s Health, SCOR (Principal Investigator), UCSF and UC Davis, 2015


Tibrewala R, Pedoia V, Lee J, Kinnunen C, Popovic T, Zhang AL, Link TM, Souza RB, Majumdar S. Automatic Hip Abductor Muscle Fat Fraction Estimation and Association with Early OA Cartilage Degeneration Biomarkers. J Orthop Res. 2020 Dec 25.
Gao KT, Pedoia V, Young KA, Kogan F, Koff MF, Gold GE, Potter HG, Majumdar S. Multiparametric MRI characterization of knee articular cartilage and subchondral bone shape in collegiate basketball players. J Orthop Res. 2020 Sep 10.
Iriondo C, Liu F, Calivà F, Kamat S, Majumdar S, Pedoia V. Towards Understanding Mechanistic Subgroups of Osteoarthritis: 8 Year Cartilage Thickness Trajectory Analysis. J Orthop Res. 2020 Sep 08.
Lansdown DA, Pedoia V. Editorial Commentary: Can We Evaluate Glenoid Bone With Magnetic Resonance Imaging? Yes, If You Have the Right Sequence. Arthroscopy. 2020 09; 36(9):2401-2402.
Liao TC, Jergas H, Tibrewala R, Bahroos E, Link TM, Majumdar S, Souza RB, Pedoia V. Longitudinal analysis of the contribution of 3D patella and trochlear bone shape on patellofemoral joint osteoarthritic features. J Orthop Res. 2020 Aug 22.
Namiri NK, Flament I, Astuto B, Shah R, Tibrewala R, Caliva F, Link TM, Pedoia V, Majumdar S. Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI. Radiol Artif Intell. 2020 Jul 29; 2(4):e190207.
Razmjoo A, Caliva F, Lee J, Liu F, Joseph GB, Link TM, Majumdar S, Pedoia V. T2 analysis of the entire osteoarthritis initiative dataset. J Orthop Res. 2021 Jan; 39(1):74-85.
Calivá, F. Shah, R. Bharadwaj, U. Majumdar, S. Larson, P Pedoia V.. Medical Imaging with Deep Learning. Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. 2020; 1(1):1-17.
Cheng, V. Calivá, F. Shah, R. Han, M. Majumdar, S. Pedoia, V.. Medical Imaging with Deep Learning. Addressing The False Negative Problem of MRI Reconstruction Networks by Adversarial Attacks and Robust Training. 2020; 1(1):1-15.
Liao TC, Martinez AGM, Pedoia V, Ma BC, Li X, Link TM, Majumdar S, Souza RB. Patellar Malalignment Is Associated With Patellofemoral Lesions and Cartilage Relaxation Times After Hamstring Autograft Anterior Cruciate Ligament Reconstruction. Am J Sports Med. 2020 07; 48(9):2242-2251.
Shah RF, Bini SA, Martinez AM, Pedoia V, Vail TP. Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms. Bone Joint J. 2020 Jun; 102-B(6_Supple_A):101-106.
Li AK, Ochoa JK, Pedoia V, Amano K, Souza RB, Li X, Ma CB. Altered tibiofemoral position following ACL reconstruction is associated with cartilage matrix changes: A voxel-based relaxometry analysis. J Orthop Res. 2020 Nov; 38(11):2454-2463.
Tibrewala R, Ozhinsky E, Shah R, Flament I, Crossley K, Srinivasan R, Souza R, Link TM, Pedoia V, Majumdar S. Computer-Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI. J Magn Reson Imaging. 2020 10; 52(4):1163-1172.
Tolpadi AA, Lee JJ, Pedoia V, Majumdar S. Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images. Sci Rep. 2020 04 14; 10(1):6371.
Morales Martinez A, Caliva F, Flament I, Liu F, Lee J, Cao P, Shah R, Majumdar S, Pedoia V. Learning osteoarthritis imaging biomarkers from bone surface spherical encoding. Magn Reson Med. 2020 10; 84(4):2190-2203.
Tibrewala R, Pedoia V, Bucknor M, Majumdar S. Principal Component Analysis of Simultaneous PET-MRI Reveals Patterns of Bone-Cartilage Interactions in Osteoarthritis. J Magn Reson Imaging. 2020 11; 52(5):1462-1474.
Krogue, J. Cheng, K. Hwang, K. Toogood, P. Meinberg, E. Geiger, E. Zaid, M. McGill, K. Patel, R. Sohn, J. Wright, A. Darger, B. Padrez, K Ozhinsky, E. Majumdar, S. Pedoia, V.. Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. Radiology: Artificial Intelligence. 2020; 2(2).
Iriondo C, Pedoia V, Majumdar S. Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel-based relaxometry approach. Magn Reson Med. 2020 09; 84(3):1376-1390.
von Schacky CE, Sohn JH, Liu F, Ozhinsky E, Jungmann PM, Nardo L, Posadzy M, Foreman SC, Nevitt MC, Link TM, Pedoia V. Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs. Radiology. 2020 04; 295(1):136-145.
Li AK, Pedoia V, Tanaka M, Souza RB, Ma CB, Li X. Six-month post-surgical elevations in cartilage T1rho relaxation times are associated with functional performance 2 years after ACL reconstruction. J Orthop Res. 2020 05; 38(5):1132-1140.
Kijowski R, Liu F, Caliva F, Pedoia V. Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease. J Magn Reson Imaging. 2020 12; 52(6):1607-1619.
Chaudhari AS, Kogan F, Pedoia V, Majumdar S, Gold GE, Hargreaves BA. Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis. J Magn Reson Imaging. 2020 11; 52(5):1321-1339.
Liao TC, Pedoia V, Neumann J, Link TM, Souza RB, Majumdar S. Extracting Voxel-Based Cartilage Relaxometry Features in Hip Osteoarthritis Subjects Using Principal Component Analysis. J Magn Reson Imaging. 2020 06; 51(6):1708-1719.
Tibrewala R, Bahroos E, Mehrabian H, Foreman SC, Link TM, Pedoia V, Majumdar S. [18 F]-Sodium Fluoride PET/MR Imaging for Bone-Cartilage Interactions in Hip Osteoarthritis: A Feasibility Study. J Orthop Res. 2019 12; 37(12):2671-2680.
Zaid MB, Young NM, Pedoia V, Feeley BT, Ma CB, Lansdown DA. Anatomic shoulder parameters and their relationship to the presence of degenerative rotator cuff tears and glenohumeral osteoarthritis: a systematic review and meta-analysis. J Shoulder Elbow Surg. 2019 Dec; 28(12):2457-2466.
Shah RF, Martinez AM, Pedoia V, Majumdar S, Vail TP, Bini SA. Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images. J Arthroplasty. 2019 10; 34(10):2210-2215.
Norman B, Pedoia V, Noworolski A, Link TM, Majumdar S. Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. J Digit Imaging. 2019 06; 32(3):471-477.
Pedoia V, Lee J, Norman B, Link TM, Majumdar S. Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort. Osteoarthritis Cartilage. 2019 07; 27(7):1002-1010.
Zhong Q, Pedoia V, Tanaka M, Neumann J, Link TM, Ma B, Lin J, Li X. 3D bone-shape changes and their correlations with cartilage T1? and T2 relaxation times and patient-reported outcomes over 3-years after ACL reconstruction. Osteoarthritis Cartilage. 2019 06; 27(6):915-921.
Shimizu T, Cruz A, Tanaka M, Mamoto K, Pedoia V, Burghardt AJ, Heilmeier U, Link TM, Graf J, Imboden JB, Li X. Structural Changes over a Short Period Are Associated with Functional Assessments in Rheumatoid Arthritis. J Rheumatol. 2019 07; 46(7):676-684.
Markes AR, Knox J, Zhong Q, Pedoia V, Li X, Ma CB. An Abnormal Tibial Position Is Associated With Alterations in the Meniscal Matrix: A 3-Year Longitudinal Study After Anterior Cruciate Ligament Reconstruction. Orthop J Sports Med. 2019 Jan; 7(1):2325967118820057.
Samaan MA, Zhang AL, Popovic T, Pedoia V, Majumdar S, Souza RB. Hip joint muscle forces during gait in patients with femoroacetabular impingement syndrome are associated with patient reported outcomes and cartilage composition. J Biomech. 2019 02 14; 84:138-146.
Shimizu T, Samaan MA, Tanaka MS, Pedoia V, Souza RB, Li X, Ma CB. Abnormal Biomechanics at 6 Months Are Associated With Cartilage Degeneration at 3 Years After Anterior Cruciate Ligament Reconstruction. Arthroscopy. 2019 02; 35(2):511-520.
Pedoia V, Majumdar S. Translation of morphological and functional musculoskeletal imaging. J Orthop Res. 2019 01; 37(1):23-34.
Inamdar G, Pedoia V, Rossi-Devries J, Samaan MA, Link TM, Souza RB, Majumdar S. MR study of longitudinal variations in proximal femur 3D morphological shape and associations with cartilage health in hip osteoarthritis. J Orthop Res. 2019 01; 37(1):161-170.
Pedoia V, Norman B, Mehany SN, Bucknor MD, Link TM, Majumdar S. 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects. J Magn Reson Imaging. 2019 02; 49(2):400-410.
Chen E, Amano K, Pedoia V, Souza RB, Ma CB, Li X. Longitudinal analysis of tibiofemoral cartilage contact area and position in ACL reconstructed patients. J Orthop Res. 2018 10; 36(10):2718-2727.
Rossi-deVries J, Pedoia V, Samaan MA, Ferguson AR, Souza RB, Majumdar S. Using multidimensional topological data analysis to identify traits of hip osteoarthritis. J Magn Reson Imaging. 2018 10; 48(4):1046-1058.
Teng HL, Pedoia V, Link TM, Majumdar S, Souza RB. Local associations between knee cartilage T1? and T2 relaxation times and patellofemoral joint stress during walking: A voxel-based relaxometry analysis. Knee. 2018 Jun; 25(3):406-416.
Norman B, Pedoia V, Majumdar S. Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry. Radiology. 2018 07; 288(1):177-185.
Knox J, Pedoia V, Wang A, Tanaka M, Joseph GB, Neumann J, Link TM, Li X, Ma CB. Longitudinal changes in MR T1?/T2 signal of meniscus and its association with cartilage T1p/T2 in ACL-injured patients. Osteoarthritis Cartilage. 2018 05; 26(5):689-696.
Kumar D, Su F, Wu D, Pedoia V, Heitkamp L, Ma CB, Souza RB, Li X. Frontal Plane Knee Mechanics and Early Cartilage Degeneration in People With Anterior Cruciate Ligament Reconstruction: A Longitudinal Study. Am J Sports Med. 2018 02; 46(2):378-387.
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 Oct; 475(10):2427-2435.
Teng HL, Wu D, Su F, Pedoia V, Souza RB, Ma CB, Li X. Gait Characteristics Associated With a Greater Increase in Medial Knee Cartilage T1? and T2 Relaxation Times in Patients Undergoing Anterior Cruciate Ligament Reconstruction. Am J Sports Med. 2017 Dec; 45(14):3262-3271.
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. 2018 03; 36(3):971-978.
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. 2018 01; 36(1):330-341.
Pedoia V, Haefeli J, Morioka K, Teng HL, Nardo L, Souza RB, Ferguson AR, Majumdar S. MRI and biomechanics multidimensional data analysis reveals R2 -R1? as an early predictor of cartilage lesion progression in knee osteoarthritis. J Magn Reson Imaging. 2018 01; 47(1):78-90.
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 1 year after ACL-reconstruction. J Orthop Res. 2017 10; 35(10):2275-2281.
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.
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.
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.
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. 2017 05; 25(5):708-717.
Ku E, Pedoia V, Tanaka M, Heilmeier U, Imboden J, Graf J, Link T, Li X. Evaluating radiocarpal cartilage matrix changes 3-months after anti-TNF treatment for rheumatoid arthritis using MR T1? imaging. J Magn Reson Imaging. 2017 05; 45(5):1514-1522.
Pedoia V, Su F, Amano K, Li Q, McCulloch CE, Souza RB, Link TM, Ma BC, Li X. 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. 2017 03; 35(3):707-717.
Russell C, Pedoia V, Majumdar S. 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. 2017 03; 35(3):718-729.
Pedoia V, Gallo MC, Souza RB, Majumdar S. Longitudinal study using voxel-based relaxometry: Association between cartilage T1? and T2 and patient reported outcome changes in hip osteoarthritis. J Magn Reson Imaging. 2017 05; 45(5):1523-1533.
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 08; 34(8):1373-81.
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. 2017 03; 35(3):688-698.
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.
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 08; 24(8):1399-407.
Pedoia V, Majumdar S, Link TM. Segmentation of joint and musculoskeletal tissue in the study of arthritis. MAGMA. 2016 Apr; 29(2):207-21.
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 07; 24(7):1180-9.
Savic D, Pedoia V, Seo Y, Yang J, Bucknor M, Franc BL, Majumdar S. Imaging Bone-Cartilage Interactions in Osteoarthritis Using [18F]-NaF PET-MRI. Mol Imaging. 2016 01 01; 15:1-12.
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.
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.
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.
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.
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):2214-2223.
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.
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.
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.
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.
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.
Binaghi E., Pedoia V., Guglielmin M.. Snow cover thickness estimation using radial basis function networks. The Cryosphere. 2013; 3(7):841-845.
Functional magnetic resonance imaging: comparison between activation maps and computation pipelines in a clinical context. Magn Reson Imaging. 2013 May; 31(4):555-66.
Automatic MRI 2D brain segmentation using graph searching technique. Int J Numer Method Biomed Eng. 2013 Sep; 29(9):887-904.
Lecture Notes in Computer Science - Image Analysis and Processing. Fully Automatic Brain Tumor Segmentation by using Competitive EM and Graph Cut. 2979:568-578.