| Microaneurysm detection using fully convolutional neural networks P Chudzik, S Majumdar, F Calivá, B Al-Diri, A Hunter Computer methods and programs in biomedicine 158, 185-192, 2018 | 189 | 2018 |
| 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 |
| A deep learning approach to anomaly detection in nuclear reactors F Caliva, FS De Ribeiro, A Mylonakis, C Demazi’ere, P Vinai, G Leontidis, ... 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 86 | 2018 |
| Deep learning for lesion detection, progression, and prediction of musculoskeletal disease R Kijowski, F Liu, F Caliva, V Pedoia Journal of magnetic resonance imaging 52 (6), 1607-1619, 2020 | 73 | 2020 |
| 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 | 52 | 2021 |
| An end-to-end deep neural architecture for optical character verification and recognition in retail food packaging FDS Ribeiro, L Gong, F Calivá, M Swainson, K Gudmundsson, M Yu, ... 2018 25th IEEE international conference on image processing (ICIP), 2376-2380, 2018 | 45 | 2018 |
| Deep bayesian self-training F De Sousa Ribeiro, F Calivá, M Swainson, K Gudmundsson, G Leontidis, ... Neural Computing and Applications 32 (9), 4275-4291, 2020 | 43 | 2020 |
| Deep learning for hierarchical severity staging of anterior cruciate ligament injuries from MRI NK Namiri, I Flament, B Astuto, R Shah, R Tibrewala, F Caliva, TM Link, ... Radiology: Artificial Intelligence 2 (4), e190207, 2020 | 42 | 2020 |
| Learning Osteoarthritis Imaging Biomarkers from Bone Surface Spherical Encoding AM Martinez, F Caliva, I Flament, F Liu, J Lee, P Cao, R Shah, ... | 39* | 2020 |
| Exudate segmentation using fully convolutional neural networks and inception modules P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical Imaging 2018: Image Processing 10574, 785-792, 2018 | 36 | 2018 |
| Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging F Calivà, NK Namiri, M Dubreuil, V Pedoia, E Ozhinsky, S Majumdar Nature Reviews Rheumatology 18 (2), 112-121, 2022 | 29 | 2022 |
| T2 analysis of the entire osteoarthritis initiative dataset A Razmjoo, F Caliva, J Lee, F Liu, GB Joseph, TM Link, S Majumdar, ... Journal of Orthopaedic Research® 39 (1), 74-85, 2021 | 29 | 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 |
| Addressing the false negative problem of deep learning MRI reconstruction models by adversarial attacks and robust training K Cheng, F Calivá, R Shah, M Han, S Majumdar, V Pedoia Medical Imaging with Deep Learning, 121-135, 2020 | 27 | 2020 |
| Towards a deep unified framework for nuclear reactor perturbation analysis FDS Ribeiro, F Calivá, D Chionis, A Dokhane, A Mylonakis, C Demaziere, ... 2018 IEEE symposium series on computational intelligence (SSCI), 120-127, 2018 | 27 | 2018 |
| Microaneurysm detection using deep learning and interleaved freezing P Chudzik, S Majumdar, F Caliva, B Al-Diri, A Hunter Medical imaging 2018: image processing 10574, 379-387, 2018 | 27 | 2018 |
| An adaptable deep learning system for optical character verification in retail food packaging FDS Ribeiro, F Caliva, M Swainson, K Gudmundsson, G Leontidis, ... 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2018 | 26 | 2018 |
| DISCERN: Generative framework for vessel segmentation using convolutional neural network and visual codebook P Chudzik, B Al-Diri, F Caliva, A Hunter 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 22 | 2018 |
| 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 | 17 | 2023 |
| 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 |
Valentina PedoiaAssistant Professor @ MQIR - UCSFVerified email at ucsf.edu
