V. Pedoia

发表

Accelerating T 1-rho Cartilage Imaging Using kt ISD with Locally-Adapted Thresholding and JSENSE

L. Ying, Yihang Zhou, Yanhua Wang, 2013 .

Fully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel‐based relaxometry

Xiaojuan Li, S. Majumdar, V. Pedoia, 2016, Journal of magnetic resonance imaging : JMRI.

Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel‐based relaxometry approach

S. Majumdar, V. Pedoia, C. Iriondo, 2020, Magnetic resonance in medicine.

T1ρ and T2‐based characterization of regional variations in intervertebral discs to detect early degenerative changes

S. Majumdar, V. Pedoia, W. Dillon, 2016, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Discovering knee osteoarthritis bone shape features using deep learning

P. Cao, V. Pedoia, A. Morales Martinez, 2019, Osteoarthritis and Cartilage.

3-year longitudinal assessment of hip cartilage using T1ρ and T2 relaxometry

S. Majumdar, V. Pedoia, T. Link, 2016 .

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.

S. Majumdar, V. Pedoia, Berk Norman, 2018, Radiology.

Three-dimensional MRI-based statistical shape model and application to a cohort of knees with acute ACL injury.

C. McCulloch, V. Pedoia, D. Lansdown, 2015, Osteoarthritis and cartilage.

Study of the interactions between proximal femur 3d bone shape, cartilage health, and biomechanics in patients with hip Osteoarthritis

S. Majumdar, V. Pedoia, M. C. Gallo, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Longitudinal study using voxel‐based relaxometry: Association between cartilage T1ρ and T2 and patient reported outcome changes in hip osteoarthritis

S. Majumdar, V. Pedoia, M. C. Gallo, 2017, Journal of magnetic resonance imaging : JMRI.

Principal Component Analysis of Simultaneous PET‐MRI Reveals Patterns of Bone–Cartilage Interactions in Osteoarthritis

S. Majumdar, V. Pedoia, M. Bucknor, 2020, Journal of magnetic resonance imaging : JMRI.

Patellar Malalignment Is Associated With Patellofemoral Lesions and Cartilage Relaxation Times After Hamstring Autograft Anterior Cruciate Ligament Reconstruction

Xiaojuan Li, S. Majumdar, V. Pedoia, 2020, The American journal of sports medicine.

Longitudinal analysis of the contribution of 3D patella and trochlear bone shape on patellofemoral joint osteoarthritic features

S. Majumdar, V. Pedoia, T. Link, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Extracting Voxel‐Based Cartilage Relaxometry Features in Hip Osteoarthritis Subjects Using Principal Component Analysis

S. Majumdar, V. Pedoia, T. Link, 2020, Journal of magnetic resonance imaging : JMRI.

Translation of morphological and functional musculoskeletal imaging

S. Majumdar, V. Pedoia, 2018, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Hip joint muscle forces during gait in patients with femoroacetabular impingement syndrome are associated with patient reported outcomes and cartilage composition.

S. Majumdar, V. Pedoia, R. Souza, 2019, Journal of biomechanics.

A novel mr‐based method for detection of cartilage delamination in femoroacetabular impingement patients

Alan L. Zhang, S. Majumdar, V. Pedoia, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Using multidimensional topological data analysis to identify traits of hip osteoarthritis

Sharmila Majumdar, Richard B. Souza, Adam R. Ferguson, 2018, Journal of magnetic resonance imaging : JMRI.

Longitudinal changes in MR T1ρ/T2 signal of meniscus and its association with cartilage T1p/T2 in ACL-injured patients.

V. Pedoia, T. Link, C. Ma, 2018, Osteoarthritis and cartilage.

Segmentation of joint and musculoskeletal tissue in the study of arthritis

Thomas M. Link, Sharmila Majumdar, Valentina Pedoia, 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.

T1ρ and T2 relaxation times are associated with progression of hip osteoarthritis.

S. Majumdar, V. Pedoia, L. Nardo, 2016, Osteoarthritis and cartilage.

Baseline cartilage quality is associated with voxel‐based T1ρ and T2 following ACL reconstruction: A multicenter pilot study

S. Majumdar, V. Pedoia, H. Potter, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Functional and structural MRI image analysis for brain glial tumors treatment

V. Pedoia, 2013 .

Analysis of the articular cartilage T1ρ and T2 relaxation times changes after ACL reconstruction in injured and contralateral knees and relationships with bone shape

C. McCulloch, Xiaojuan Li, V. Pedoia, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Composite metric R2 − R1ρ (1/T2 − 1/T1ρ) as a potential MR imaging biomarker associated with changes in pain after ACL reconstruction: A six‐month follow‐up

S. Majumdar, V. Pedoia, C. Russell, 2016, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease

V. Pedoia, F. Liu, Richard Kijowski, 2019, Journal of magnetic resonance imaging : JMRI.

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs.

J. H. Sohn, V. Pedoia, M. Nevitt, 2020, Radiology.

Anatomic shoulder parameters and their relationship to the presence of degenerative rotator cuff tears and glenohumeral osteoarthritis: a systematic review and meta-analysis.

Nathan M. Young, V. Pedoia, Nathan M Young, 2019, Journal of shoulder and elbow surgery.

MR T 1 ρ and T 2 of Meniscus after Acute Anterior Cruciate Ligament Injuries

Xiaojuan Li, V. Pedoia, L. Nardo, 2016 .

MR T1ρ and T2 of meniscus after acute anterior cruciate ligament injuries.

C. McCulloch, Xiaojuan Li, V. Pedoia, 2014, Osteoarthritis and cartilage.

Multiparametric MRI characterization of knee articular cartilage and subchondral bone shape in collegiate basketball players

S. Majumdar, V. Pedoia, G. Gold, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Cyclops lesions are associated with altered gait patterns and medial knee joint cartilage degeneration at 1 year after ACL‐reconstruction

Xiaojuan Li, V. Pedoia, T. Link, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Gait Characteristics Associated With a Greater Increase in Medial Knee Cartilage T1ρ and T2 Relaxation Times in Patients Undergoing Anterior Cruciate Ligament Reconstruction

Xiaojuan Li, V. Pedoia, F. Su, 2017, The American journal of sports medicine.

Alison Myoraku MASTER OF SCIENCE Biomedical Imaging Lifespan Changes of the Human Insula in Major Depression THESIS

V. Pedoia, A. Raj, I. Strigo, 2019 .

Study of the Prognostic Relevance of Longitudinal Brain Atrophy in Post-traumatic Diffuse Axonal Injury Using Graph-Based MRI Segmentation Techniques

S. Balbi, V. Pedoia, E. Binaghi, 2014 .

A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge

Mehmet Akcakaya, Drew A. Torigian, Akshay Pai, 2020 .

AUTOMATIC HIP FRACTURE IDENTIFICATION AND FUNCTIONAL SUBCLASSIFICATION

Justin D Krogue, Kevin A Padrez, Erik J. Geiger, 2019 .

Evaluating radiocarpal cartilage matrix changes 3‐months after anti‐TNF treatment for rheumatoid arthritis using MR T1ρ imaging

Xiaojuan Li, V. Pedoia, T. Link, 2017, Journal of magnetic resonance imaging : JMRI.

Snow cover thickness estimation by using radial basis function networks

V. Pedoia, E. Binaghi, M. Guglielmin, 2012 .

T2 analysis of the entire osteoarthritis initiative dataset

S. Majumdar, V. Pedoia, T. Link, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Weight Cycling and Knee Joint Degeneration in Individuals with Overweight or Obesity: Four‐Year Magnetic Resonance Imaging Data from the Osteoarthritis Initiative

C. McCulloch, S. Majumdar, V. Pedoia, 2021, Obesity.

Hip-Knee Joint Coordination Patterns are Associated With Patellofemoral Joint Cartilage Composition in Patients With Anterior Cruciate Ligament Reconstruction.

Xiaojuan Li, V. Pedoia, R. Souza, 2022, Journal of applied biomechanics.

An Abnormal Tibial Position Is Associated With Alterations in the Meniscal Matrix: A 3-Year Longitudinal Study After Anterior Cruciate Ligament Reconstruction

Xiaojuan Li, V. Pedoia, C. Ma, 2019, Orthopaedic journal of sports medicine.

Effects of Surgical Factors on Cartilage Can Be Detected Using Quantitative Magnetic Resonance Imaging After Anterior Cruciate Ligament Reconstruction

J. Felmlee, Xiaojuan Li, S. Majumdar, 2017, The American journal of sports medicine.

Computer‐Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI

S. Majumdar, V. Pedoia, R. Srinivasan, 2020, Journal of magnetic resonance imaging : JMRI.

Local Patterns in 2‐Year T1ρ and T2 Changes of Hip Cartilage Are Related to Sex and Functional Data: A Prospective Evaluation on Hip Osteoarthritis Participants

S. Majumdar, V. Pedoia, R. Souza, 2022, Journal of magnetic resonance imaging : JMRI.

Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

S. Majumdar, V. Pedoia, T. Vail, 2019, The Journal of arthroplasty.

The Use of Multiple Imaging Studies Before Shoulder Stabilization Surgery Is Increasing

Alan L. Zhang, V. Pedoia, B. Feeley, 2022, Arthroscopy, sports medicine, and rehabilitation.

Radiographic shoulder parameters and their relationship to outcomes following rotator cuff repair: a systematic review

Nathan M. Young, V. Pedoia, Nathan M Young, 2020, Shoulder & elbow.

Longitudinal analysis of tibiofemoral cartilage contact area and position in ACL reconstructed patients

Xiaojuan Li, V. Pedoia, C. Ma, 2018, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Six‐month post‐surgical elevations in cartilage T1rho relaxation times are associated with functional performance 2 years after ACL reconstruction

Xiaojuan Li, V. Pedoia, C. Ma, 2019, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Automatic detection and voxel‐wise mapping of lumbar spine Modic changes with deep learning

S. Majumdar, V. Pedoia, T. Link, 2022, JOR spine.

MRI and biomechanics multidimensional data analysis reveals R2‐R1ρ as an early predictor of cartilage lesion progression in knee osteoarthritis

Adam R Ferguson, S. Majumdar, V. Pedoia, 2018, Journal of magnetic resonance imaging : JMRI.

The association between MR T1ρ and T2 of cartilage and patient-reported outcomes after ACL injury and reconstruction.

C. McCulloch, V. Pedoia, F. Su, 2016, Osteoarthritis and cartilage.

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Huy Hoang Nguyen, Xiaojuan Li, V. Pedoia, 2022, Osteoarthritis and cartilage.

Abnormal biomechanics at six months are associated with cartilage degeneration at three years following anterior cruciate ligament reconstruction

V. Pedoia, R. Souza, M. Samaan, 2019 .

Multiple Tibiofemoral Bone Shapes Predict Outcomes After Anterior Cruciate Ligament Reconstruction: A Systematic Review.

Jacob F. Oeding, V. Pedoia, D. Lansdown, 2021, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.

3D bone-shape changes and their correlations with cartilage T1ρ and T2 relaxation times and patient-reported outcomes over 3-years after ACL reconstruction.

V. Pedoia, T. Link, J. Neumann, 2019, Osteoarthritis and cartilage.

Fluoride PET/MR for Bone-Cartilage in Hip A Feasibility Study.

S. Majumdar, V. Pedoia, T. Link, 2019 .

Region of interest-specific loss functions improve T2 quantification with ultrafast T2 mapping MRI sequences in knee, hip and lumbar spine

Aniket A. Tolpadi, Misung Han, S. Majumdar, 2022, Scientific reports.

Imaging Bone–Cartilage Interactions in Osteoarthritis Using [18F]-NaF PET-MRI

S. Majumdar, V. Pedoia, Youngho Seo, 2016, Molecular imaging.

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning pdf

Eugene Ozhinsky, Valentina Pedoia, Sharmila Majumdar, 2019, Radiology. Artificial intelligence.

Editorial Commentary: Can We Evaluate Glenoid Bone With Magnetic Resonance Imaging? Yes, If You Have the Right Sequence.

V. Pedoia, D. Lansdown, 2020, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.

Magnetization‐prepared spoiled gradient‐echo snapshot imaging for efficient measurement of R2‐R1ρ in knee cartilage

Misung Han, S. Majumdar, V. Pedoia, 2021, Magnetic resonance in medicine.

[18F]‐Sodium Fluoride PET/MR Imaging for Bone–Cartilage Interactions in Hip Osteoarthritis: A Feasibility Study

S. Majumdar, V. Pedoia, T. Link, 2019, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Trajectory of knee health in runners with and without heightened osteoarthritis risk: the TRAIL prospective cohort study protocol

James L N Alexander, V. Pedoia, A. Schache, 2023, BMJ Open.

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

Susan M. Chang, Marram P. Olson, V. Pedoia, 2021, Neuro-oncology.

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images

Sharmila Majumdar, Valentina Pedoia, Aniket A. Tolpadi, 2020, Scientific Reports.

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.

S. Majumdar, V. Pedoia, R. Souza, 2017, Osteoarthritis and cartilage.

Augmenting Osteoporosis Imaging with Machine Learning

S. Majumdar, V. Pedoia, G. Kazakia, 2021, Current Osteoporosis Reports.

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Valentina Pedoia, Brian A Hargreaves, Sharmila Majumdar, 2019, Journal of magnetic resonance imaging : JMRI.

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs

Thomas M. Link, Sharmila Majumdar, Valentina Pedoia, 2018, Journal of Digital Imaging.

Abnormal Biomechanics at 6 Months Are Associated With Cartilage Degeneration at 3 Years After Anterior Cruciate Ligament Reconstruction.

Xiaojuan Li, V. Pedoia, C. Ma, 2019, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.

Institution‐wide shape analysis of 3D spinal curvature and global alignment parameters

S. Majumdar, V. Pedoia, C. Iriondo, 2021, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Automatic hip abductor muscle fat fraction estimation and association with early OA cartilage degeneration biomarkers

Alan L. Zhang, S. Majumdar, V. Pedoia, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

A more posterior tibial tubercle (decreased sagittal tibial tubercle trochlear groove distance) is significantly associated with patellofemoral joint degenerative cartilage change: A Deep Learning Analysis.

V. Pedoia, D. Lansdown, A. M. Martinez, 2022, Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association.

Inter- and intra-rater reliability of patellofemoral kinematic and contact area quantification by fast spin echo MRI and correlation with cartilage health by quantitative T1ρ MRI.

V. Pedoia, B. Feeley, R. Souza, 2016, The Knee.

Local associations between knee cartilage T1ρ and T2 relaxation times and patellofemoral joint stress during walking: A voxel-based relaxometry analysis.

S. Majumdar, V. Pedoia, T. Link, 2018, The Knee.

AI MSK clinical applications: cartilage and osteoarthritis

C. McCulloch, S. Majumdar, V. Pedoia, 2021, Skeletal Radiology.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset pdf

Mehmet Akcakaya, Akshay Pai, Ulas Bagci, 2020, Radiology. Artificial intelligence.

Uncovering associations between data-driven learned qMRI biomarkers and chronic pain

S. Majumdar, V. Pedoia, C. Iriondo, 2021, Scientific Reports.

An Ensemble Clinical And MR-Image Deep Learning Model Predicts 8-Year Knee Pain Trajectory: Data from the Osteoarthritis Initiative

S. Majumdar, V. Pedoia, Felix Liu, 2021, Osteoarthritis Imaging.

Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications

Sharmila Majumdar, Valentina Pedoia, Jason Crane, 2021, Journal of Digital Imaging.

Leveraging wisdom of the crowds to improve consensus among radiologists by real time, blinded collaborations on a digital swarm platform pdf

Sharmila Majumdar, Valentina Pedoia, Jason Crane, 2021, ArXiv.

Towards understanding mechanistic subgroups of osteoarthritis: 8‐year cartilage thickness trajectory analysis

Sharmila Majumdar, Claudia Iriondo, Francesco Calivà, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Association of patella alignment with cartilage relaxation times and self‐reported symptoms in individuals with patellofemoral degeneration

S. Majumdar, V. Pedoia, T. Link, 2022, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

Arjun D Desai, C. Igel, B. Hargreaves, 2023, Osteoarthritis Imaging.

Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging

S. Majumdar, V. Pedoia, E. Ozhinsky, 2021, Nature Reviews Rheumatology.

Diagnosing osteoarthritis from T2 maps using deep learning: an analysis of the entire Osteoarthritis Initiative baseline cohort.

S. Majumdar, S. Majumdar, V. Pedoia, 2019, Osteoarthritis and cartilage.

Cartilage T1ρ and T2 relaxation times: longitudinal reproducibility and variations using different coils, MR systems and sites.

J Rivoire, S Majumdar, J. Felmlee, 2015, Osteoarthritis and cartilage.

Automatic Deep Learning-assisted Detection and Grading of Abnormalities in Knee MRI Studies.

S. Majumdar, V. Pedoia, I. Flament, 2021, Radiology. Artificial intelligence.

Learning osteoarthritis imaging biomarkers from bone surface spherical encoding

Peng Cao, Francesco Caliva, Io Flament, 2020, Magnetic resonance in medicine.

3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects

Sharmila Majumdar, Valentina Pedoia, Berk Norman, 2018, Journal of magnetic resonance imaging : JMRI.

Use of machine learning in osteoarthritis research: a systematic literature review

A. Butte, V. Pedoia, E. Mariotti-Ferrandiz, 2022, RMD Open.

The effect of interactions between BMI and sustained depressive symptoms on knee osteoarthritis over 4 years: data from the osteoarthritis initiative

S. Majumdar, V. Pedoia, M. Nevitt, 2023, BMC Musculoskeletal Disorders.

Deep learning for automated, interpretable classification of lumbar spinal stenosis and facet arthropathy from axial MRI

S. Majumdar, V. Pedoia, T. Link, 2023, European Radiology.

K2S Challenge: From Undersampled K-Space to Automatic Segmentation

Christian F. Baumgartner, Aniket A. Tolpadi, Quintin van Lohuizen, 2023, Bioengineering.

Synthetic Inflammation Imaging with PatchGAN Deep Learning Networks

Aniket A. Tolpadi, S. Majumdar, V. Pedoia, 2023, Bioengineering.

Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms.

Valentina Pedoia, Romil F Shah, Stefano A Bini, 2020, The bone & joint journal.

Abnormal tibial position is correlated to early degenerative changes one year following ACL reconstruction

Xiaojuan Li, V. Pedoia, F. Su, 2015, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Automatic Segmentation of MR Brain Tumor Images using Support Vector Machine in Combination with Graph Cut

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2014, IJCCI.

Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI.

S. Majumdar, V. Pedoia, T. Link, 2020, Radiology. Artificial intelligence.

Clinical language search algorithm from free-text: facilitating appropriate imaging

Gunvant R. Chaudhari, V. Pedoia, Y. Seo, 2022, BMC Medical Imaging.

Persistent Biomechanical Alterations After ACL Reconstruction Are Associated With Early Cartilage Matrix Changes Detected by Quantitative MR

Xiaojuan Li, V. Pedoia, F. Su, 2016, Orthopaedic journal of sports medicine.

Persistent Underloading of Patellofemoral Joint following Hamstring Autograft ACL Reconstruction is Associated with Cartilage Health.

S. Majumdar, V. Pedoia, R. Souza, 2023, Osteoarthritis and cartilage.

Accelerating t1ρ cartilage imaging using compressed sensing with iterative locally adapted support detection and JSENSE

Dong Liang, Xiaojuan Li, Leslie Ying, 2016, Magnetic resonance in medicine.

Snow cover thickness estimation using radial basis function networks

Elisabetta Binaghi, Valentina Pedoia, A. Guidali, 2013 .

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

Sameer Khanna, Jing Liu, Valentina Pedoia, 2016, NMR in biomedicine.

Personalized Risk Model and Leveraging of Magnetic Resonance Imaging–Based Structural Phenotypes and Clinical Factors to Predict Incidence of Radiographic Osteoarthritis

S. Majumdar, V. Pedoia, T. Link, 2022, Arthritis care & research.

Reproducibility measurements of three methods for calculating in vivo MR‐based knee kinematics

Xiaojuan Li, Valentina Pedoia, Karupppasamy Subburaj, 2015, Journal of magnetic resonance imaging : JMRI.

Adversarial Robust Training of Deep Learning MRI Reconstruction Models

V. Pedoia, Kaiyang Cheng, Francesco Calivá, 2020, Machine Learning for Biomedical Imaging.

Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training

Valentina Pedoia, Sharmila Majumdar, Kaiyang Cheng, 2020, MIDL.

Principal component analysis-T1ρ voxel based relaxometry of the articular cartilage: a comparison of biochemical patterns in osteoarthritis and anterior cruciate ligament subjects.

Xiaojuan Li, S. Majumdar, V. Pedoia, 2016, Quantitative imaging in medicine and surgery.

Evaluation of 2 Novel Ratio-Based Metrics for Lumbar Spinal Stenosis

V. Pedoia, T. Link, D. Chou, 2022, American Journal of Neuroradiology.

Altered tibiofemoral position following ACL reconstruction is associated with cartilage matrix changes: A voxel‐based relaxometry analysis

Xiaojuan Li, V. Pedoia, C. Ma, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Using AI to Improve Radiographic Fracture Detection.

V. Pedoia, T. Link, 2021, Radiology.

Surface spherical encoding and contrastive learning for virtual bone shape aging

S. Majumdar, V. Pedoia, A. M. Martinez, 2022, Medical Image Anal..

Baseline cartilage T1ρ and T2 predicted patellofemoral joint cartilage lesion progression and patient‐reported outcomes after ACL reconstruction

V. Pedoia, T. Link, L. Facchetti, 2022, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Cartilage health in the patellofemoral joint over 3-years after ACL reconstruction and their association with patient-reported outcomes

Xiaojuan Li, V. Pedoia, T. Link, 2019, Osteoarthritis and Cartilage.

T1ρ and T2 of articular cartilage after acl injury predict patient-reported outcomes at 3 years after acl reconstruction

V. Pedoia, C. Ma, X. Li, 2018 .

Does Looser Knee Have Worse Clinical Outcomes after Anterior Cruciate Ligament (ACL) Reconstruction? 3 Year Follow-Up Evaluated by Quantitative Magnetic Resonance Imaging

Xiaojuan Li, V. Pedoia, C. Ma, 2017 .

Variations in Knee Kinematics After ACL Injury and After Reconstruction Are Correlated With Bone Shape Differences

Valentina Pedoia, Musa Zaid, Richard B Souza, 2017, Clinical orthopaedics and related research.

Bone Shape Changes From Baseline to 6-Month Are Associated With Cartilage T1ρ & T2 and Knee Injury&Osteoarthritis Outcome Score at 3-Year After Anterior Cruciate Ligament Reconstruction

Xiaojuan Li, V. Pedoia, B. Ma, 2017 .

MR T1ρ and T2 of meniscus two years after anterior cruciate ligament reconstruction

Xiaojuan Li, V. Pedoia, T. Link, 2016 .

Longitudinal analysis of the shape changes of the knee in patients with anterior cruciate ligament injuries

Xiaojuan Li, V. Pedoia, D. Lansdown, 2014 .

Frontal Plane Knee Mechanics and Early Cartilage Degeneration in People With Anterior Cruciate Ligament Reconstruction: A Longitudinal Study

Xiaojuan Li, V. Pedoia, F. Su, 2018, The American journal of sports medicine.

Deep learning for large scale MRI-based morphological phenotyping of osteoarthritis

S. Majumdar, V. Pedoia, Felix Liu, 2021, Scientific Reports.

Distance Map Loss Penalty Term for Semantic Segmentation pdf

Claudia Iriondo, Valentina Pedoia, Francesco Calivà, 2019, ArXiv.

The Back Pain Consortium (BACPAC) Research Program: Structure, Research Priorities, and Methods

Matthew A Psioda, K. Anstrom, S. Majumdar, 2023, Pain medicine.

Machine Learning and Artificial Intelligence

Valentina Pedoia, V. Pedoia, 2020, Osteoarthritis and Cartilage.

Associations between Weight Change, Knee Subcutaneous Fat and Cartilage Thickness in Overweight and Obese Individuals: 4-Year Data from the Osteoarthritis Initiative.

S. Majumdar, V. Pedoia, M. Nevitt, 2023, Osteoarthritis and cartilage.

MR study of longitudinal variations in proximal femur 3D morphological shape and associations with cartilage health in hip osteoarthritis

S. Majumdar, V. Pedoia, T. Link, 2018, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Collection and fuzzy estimation of truth labels in glial tumour segmentation studies

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2016, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Meningioma and peritumoral edema segmentation of preoperative MRI brain scans

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Automatic MRI 2D brain segmentation using graph searching technique

Elisabetta Binaghi, Valentina Pedoia, V. Pedoia, 2013, International journal for numerical methods in biomedical engineering.

Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain

Ignazio Gallo, Elisabetta Binaghi, Valentina Pedoia, 2011, VISAPP.

MRI Advancements in Musculoskeletal Clinical and Research Practice.

V. Pedoia, H. Potter, M. Koff, 2023, Radiology.

Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T

Misung Han, S. Majumdar, V. Pedoia, 2023, Pain medicine.

Longitudinal Changes of Patellar Alignment Before and After Anterior Cruciate Ligament Reconstruction With Hamstring Autograft

S. Majumdar, V. Pedoia, R. Souza, 2021, The American journal of sports medicine.

Predicting Pain Progression in Knee Osteoarthritis Subjects by Learning Image Biomarkers from Structural MRI

S. Majumdar, V. Pedoia, Jinhee J. Lee, 2019 .

Arthritis Foundation/HSS Workshop on Hip Osteoarthritis, Part 2: Detecting Hips at Risk: Early Biomechanical and Structural Mechanisms

V. Pedoia, M. Bostrom, V. Kraus, 2023, HSS journal : the musculoskeletal journal of Hospital for Special Surgery.

Adversarial Robust Training in MRI Reconstruction

V. Pedoia, Kaiyang Cheng, Rutwik Shah, 2020, ArXiv.

Bone marrow edema-like lesions (BMELs) are associated with higher T1ρ and T2 values of cartilage in anterior cruciate ligament (ACL)-reconstructed knees: a longitudinal study.

Valentina Pedoia, Thomas M Link, Xiaojuan Li, 2016, Quantitative imaging in medicine and surgery.

The knee connectome: A novel tool for studying spatiotemporal change in cartilage thickness

S. Majumdar, V. Pedoia, C. Iriondo, 2023, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Comparing bone shape models from deep learning processing of magnetic resonance imaging to computed tomography-based models

V. Pedoia, F. Su, Victoria Wong, 2023, JSES international.

Synthetic Knee MRI T1p Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers

Aniket A. Tolpadi, Misung Han, V. Pedoia, 2023, Bioengineering.

Glial brain tumor detection by using symmetry analysis

Elisabetta Binaghi, Valentina Pedoia, Renzo Minotto, 2012, Medical Imaging.