| Distance map loss penalty term for semantic segmentation F Caliva, C Iriondo, AM Martinez, S Majumdar, V Pedoia arXiv preprint arXiv:1908.03679, 2019 | 101 | 2019 |
| The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ... Radiology: Artificial Intelligence 3 (3), e200078, 2021 | 53 | 2021 |
| Towards understanding mechanistic subgroups of osteoarthritis: 8‐year cartilage thickness trajectory analysis C Iriondo, F Liu, F Calivà, S Kamat, S Majumdar, V Pedoia Journal of Orthopaedic Research® 39 (6), 1305-1317, 2021 | 28 | 2021 |
| Valve interstitial cells act in a pericyte manner promoting angiogensis and invasion by valve endothelial cells CA Arevalos, JM Berg, JMV Nguyen, EL Godfrey, C Iriondo, ... Annals of biomedical engineering 44, 2707-2723, 2016 | 26 | 2016 |
| The contributions of cartilage endplate composition and vertebral bone marrow fat to intervertebral disc degeneration in patients with chronic low back pain NB Bonnheim, L Wang, AA Lazar, J Zhou, R Chachad, N Sollmann, ... European Spine Journal 31 (7), 1866-1872, 2022 | 25 | 2022 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and cartilage 31 (1), 115-125, 2023 | 20 | 2023 |
| Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel‐based relaxometry approach C Iriondo, V Pedoia, S Majumdar Magnetic resonance in medicine 84 (3), 1376-1390, 2020 | 19 | 2020 |
| Adversarial policy gradient for deep learning image augmentation K Cheng, C Iriondo, F Calivá, J Krogue, S Majumdar, V Pedoia Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 16 | 2019 |
| Uncovering associations between data-driven learned qMRI biomarkers and chronic pain AG Morales, JJ Lee, F Caliva, C Iriondo, F Liu, S Majumdar, V Pedoia Scientific reports 11 (1), 21989, 2021 | 13 | 2021 |
| DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications S Hashemifar, C Iriondo, E Casey, M Hejrati arXiv preprint arXiv:2203.09096, 2022 | 5 | 2022 |
| Distance map loss penalty term for semantic segmentation. arXiv 2019 F Caliva, C Iriondo, AM Martinez, S Majumdar, V Pedoia arXiv preprint arXiv:1908.03679, 0 | 5 | |
| Institution‐wide shape analysis of 3D spinal curvature and global alignment parameters C Iriondo, S Mehany, R Shah, U Bharadwaj, E Bahroos, C Chin, M Diab, ... Journal of Orthopaedic Research® 40 (8), 1896-1908, 2022 | 4 | 2022 |
| A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge A Desai, F Caliva, C Iriondo, N Khosravan, A Mortazi, S Jambawalikar, ... Osteoarthritis and Cartilage 28, S304-S305, 2020 | 4 | 2020 |
| Vesalius: Vnet-based fully automatic segmentation of intervertebral discs in multimodality MR images C Iriondo, M Girard Computational Methods and Clinical Applications for Spine Imaging: 5th …, 2019 | 3 | 2019 |
| Large‐Scale Analysis of Meniscus Morphology as Risk Factor for Knee Osteoarthritis KT Gao, E Xie, V Chen, C Iriondo, F Calivà, RB Souza, S Majumdar, ... Arthritis & Rheumatology 75 (11), 1958-1968, 2023 | 1 | 2023 |
| Towards automatic cartilage quantification in clinical trials–Continuing from the 2019 IWOAI Knee Segmentation Challenge EB Dam, AD Desai, CM Deniz, HR Rajamohan, R Regatte, C Iriondo, ... Osteoarthritis Imaging 3 (1), 100087, 2023 | 1 | 2023 |
| The knee connectome: A novel tool for studying spatiotemporal change in cartilage thickness J Cummings, K Gao, V Chen, A Morales Martinez, C Iriondo, F Caliva, ... Journal of Orthopaedic Research® 42 (1), 43-53, 2024 | | 2024 |
| MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS EB Dam, A Desai, C Deniz, H Rajamohan, R Regatte, C Iriondo, V Pedoia, ... Osteoarthritis and Cartilage 30, S291-S292, 2022 | | 2022 |
| Characterizing Phenotypes of Musculoskeletal Degeneration Using Medical Imaging and Deep Learning C Iriondo University of California, San Francisco, 2021 | | 2021 |
| Quantitative [18F]-Naf-PET-MRI Analysis for the Evaluation of Dynamic Bone Turnover in a Patient with Facetogenic Low Back Pain. NW Jenkins, C Iriondo, V Shah, E Bahroos, V Ravanfar, M Regan, Y Seo, ... Journal of visualized experiments: JoVE, 2019 | | 2019 |
