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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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Sachin Arora

Sachin Deshmukh

Sachin Kinge

Sachin Kumar

Sachin Chhatwani

Other publications of authors with the same name

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.R. Ha, P. Chang, E. Mema, S. Mutasa, J. Karcich, R. Wynn, M. Liu, and S. Jambawalikar. J. Digit. Imaging, 32 (1): 141-147 (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)3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices.Y. Liu, Y. Liu, R. Vanguri, D. Litwiller, M. Liu, H. Hsu, R. Ha, H. Shaish, and S. Jambawalikar. J. Digit. Imaging, 34 (5): 1199-1208 (2021)Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth.A. Dagle, Y. Liu, D. Crosby, H. Feltovich, M. House, Q. Yan, K. Myers, and S. Jambawalikar. PIPPI@MICCAI, volume 13575 of Lecture Notes in Computer Science, page 48-59. Springer, (2022)Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.J. Stember, H. Celik, E. Krupinski, P. Chang, S. Mutasa, B. Wood, A. Lignelli, G. Moonis, L. Schwartz, S. Jambawalikar and 1 other author(s). J. Digit. Imaging, 32 (4): 597-604 (2019)Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.M. Liu, R. Vanguri, S. Mutasa, R. Ha, Y. Liu, T. Button, and S. Jambawalikar. Comput. Biol. Medicine, (2020)Deep Learning for Functional Brain Connectivity: Are We There Yet?H. RaviPrakash, A. Watane, S. Jambawalikar, and U. Bagci. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Deep learning prediction of axillary lymph node status using ultrasound images.S. Sun, S. Mutasa, M. Liu, J. Nemer, M. Sun, M. Siddique, E. Desperito, S. Jambawalikar, and R. Ha. Comput. Biol. Medicine, (2022)A Note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids.S. Jambawalikar, and P. Kumar. ICCSA Workshops, page 478-487. IEEE Computer Society, (2008)Fusion of aerial lidar and images for road segmentation with deep CNN.B. Parajuli, P. Kumar, T. Mukherjee, E. Pasiliao, and S. Jambawalikar. SIGSPATIAL/GIS, page 548-551. ACM, (2018)

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