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

A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci, R. Tibrewala, I. Flament, M. O'Brien, 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, and A. Chaudhari. CoRR, (2020)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Julia Drew

Drew Davidson

Drew Steedly

Anna Lena Drewes

Immunhistochemische Lokalisation Apoptose-assoziierter Proteine in gesunder Haut und bei Patienten mit chronischer venöser InsuffizienzA. Drewes. Uni Greifswald, (2009)

Christiane Drews

Other publications of authors with the same name

Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome.Y. Tong, J. Udupa, E. Wileyto, C. Wu, J. McDonough, A. Capraro, O. Mayer, D. Torigian, and R. Jr.. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057806. SPIE, (2018)Deep Learning for Musculoskeletal Image Analysis.I. Irmakci, S. Anwar, D. Torigian, and U. Bagci. CoRR, (2020)Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses.R. LaLonde, D. Torigian, and U. Bagci. CoRR, (2019)How many models/atlases are needed as priors for capturing anatomic population variations?Z. Jin, J. Udupa, and D. Torigian. Medical Image Anal., (2019)The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.A. Desai, F. Calivá, C. Iriondo, N. Khosravan, A. Mortazi, S. Jambawalikar, D. Torigian, J. Ellermann, M. Akçakaya, U. Bagci and 19 other author(s). CoRR, (2020)GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation.X. Chen, J. Udupa, A. Alavi, and D. Torigian. Comput. Vis. Image Underst., 117 (5): 513-524 (2013)Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes.M. Yao, A. Chae, M. MacLean, A. Verma, J. Duda, J. Gee, D. Torigian, D. Rader, C. Kahn, W. Witschey and 1 other author(s). CoRR, (2022)Anatomy-guided deep learning for object localization in medical images.C. Jin, J. Udupa, L. Zhao, Y. Tong, D. Odhner, G. Pednekar, S. Nag, S. Lewis, N. Poole, S. Mannikeri and 5 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images.X. Wu, J. Udupa, Y. Tong, D. Odhner, G. Pednekar, C. II, D. McLaughlin, C. Apinorasethkul, J. Lukens, D. Mihailidis and 4 other author(s). Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057617. SPIE, (2018)Interactive non-uniformity correction and intensity standardization of MR images.Y. Tong, J. Udupa, D. Odhner, S. Sharma, and D. Torigian. Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94151N. SPIE, (2015)

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Disambiguation of "Torigian, Drew A."