Francesco Caliva, PhD

Title(s)Postdoctoral Scholar, Radiology
SchoolSchool of Medicine
Address1700 4th St
San Francisco CA 94158
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    Collapse Biography 
    Collapse Education and Training
    University of Lincoln, Lincoln, UKPhD11/2018Computer Science
    Politecnico di Milano, Milan, ItalyMSc04/2014Biomedical Engineering
    Collapse Awards and Honors
    Medical Imaging with Deep Learning 20202020Best Paper Award
    UCSF2019MICCAI conference Travel Award

    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. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Identifying trajectories of T2 relaxation time over age in the medial tibiofemoral cartilage in participants with pre-radiographic knee osteoarthritis. Osteoarthritis and Cartilage. 2021 Apr 1; 29:s322-s324. J.J. Lee, F. Liu, F. Caliva, T. Link, S. Majumdar, V. Pedoia. .
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    2. The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. Radiol Artif Intell. 2021 May; 3(3):e200078. Desai AD, Caliva F, Iriondo C, Mortazi A, Jambawalikar S, Bagci U, Perslev M, Igel C, Dam EB, Gaj S, Yang M, Li X, Deniz CM, Juras V, Regatte R, Gold GE, Hargreaves BA, Pedoia V, Chaudhari AS, IWOAI Segmentation Challenge Writing Group . PMID: 34235438.
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    3. Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI. Radiol Artif Intell. 2020 Jul 29; 2(4):e190207. Namiri NK, Flament I, Astuto B, Shah R, Tibrewala R, Caliva F, Link TM, Pedoia V, Majumdar S. PMID: 32793889.
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    4. T2 analysis of the entire osteoarthritis initiative dataset. J Orthop Res. 2021 01; 39(1):74-85. Razmjoo A, Caliva F, Lee J, Liu F, Joseph GB, Link TM, Majumdar S, Pedoia V. PMID: 32691905.
      View in: PubMed   Mentions: 2     Fields:    Translation:Humans
    5. Learning osteoarthritis imaging biomarkers from bone surface spherical encoding. Magn Reson Med. 2020 10; 84(4):2190-2203. Morales Martinez A, Caliva F, Flament I, Liu F, Lee J, Cao P, Shah R, Majumdar S, Pedoia V. PMID: 32243657.
      View in: PubMed   Mentions: 1     Fields:    Translation:Humans
    6. A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge. Osteoarthritis and Cartilage. 2020 Apr 1; 28:s304-s305. A. Desai, F. Caliva, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akcakaya, U. Bagci, R. Tibrewala, I. Flament, M. O'Brian, S. Majumdar, M. Perslev, A. Pai, C. Igel, E. Dam, S. Gaj, M. Yang, K. Nakamura, X. Li, C. Deniz, V. Juras, R. Regatte, G. Gold, B. Hargreaves, V. Pedoia, A. Chaudhari. .
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    7. Semi-supervised graph-based deep learning for multi-modal prediction of knee osteoarthritis incidence. Osteoarthritis and Cartilage. 2020 Apr 1; 28:s305-s306. A. Razmjoo, F. Liu, F. Caliva, A. Morales Martinez, S. Majumdar, V. Pedoia. .
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    8. Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease. J Magn Reson Imaging. 2020 12; 52(6):1607-1619. Kijowski R, Liu F, Caliva F, Pedoia V. PMID: 31763739.
      View in: PubMed   Mentions: 4     Fields:    Translation:Humans
    9. Deep Bayesian Self-Training. Neural Computing and Applications. 2019 Jul 10; 1-17. Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos Kollias. .
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    10. Adversarial Policy Gradient for Deep Learning Image Augmentation. . 2019 Jan 1; 11769:450-458. Kaiyang Cheng, Claudia Iriondo, Francesco Calivá, Justin Krogue, Sharmila Majumdar, Valentina Pedoia. .
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    11. Chapter 12 Diabetic retinopathy and maculopathy lesions. . 2019 Jan 1; 223-243. Bashir Al-Diri, Francesco Calivá, Piotr Chudzik, Giovanni Ometto, Maged Habib. .
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    12. DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:5934-5937. Chudzik P, Al-Diri B, Caliva F, Hunter A. PMID: 30441687.
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    13. Exudates Segmentation using Fully Convolutional Neural Network and Auxiliary Codebook. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:770-773. Chudzik P, Al-Diri B, Caliva F, Ometto G, Hunter A. PMID: 30440508.
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    14. Hemodynamics in the retinal vasculature during the progression of diabetic retinopathy. . 2017 Jul 7; 1(4):6-15. Francesco Calivá, Georgios Leontidis, Piotr Chudzik, Andrew Hunter, Luca Antiga, Bashir Al-Diri. .
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    15. A fluid-dynamic based approach to reconnect the retinal vessels in fundus photography. Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul; 2017:360-364. Caliva F, Hunter A, Chudzik P, Ometto G, Antiga L, Al-Diri B. PMID: 29059885.
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    16. A new tool to connect blood vessels in fundus retinal images. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug; 2015:4343-6. Caliva F, Aletti M, Al-Diri B, Hunter A. PMID: 26737256.
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