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Sibaji Gaj

Showing results (1-10 of 11) with videos related to

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Plos One|September 1, 2021
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRISibaji Gaj, Daniel Ontaneda, Kunio Nakamura
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|February 9, 2025
Subject-Based Transfer Learning in Longitudinal Multiple Sclerosis Lesion SegmentationSibaji Gaj, Bhaskar Thoomukuntla, Daniel Ontaneda, et al.
Magnetic Resonance in Medicine|December 4, 2019
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networksSibaji Gaj, Mingrui Yang, Kunio Nakamura, et al.
Journal of the Neurological Sciences|May 6, 2023
Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic strokeTakashi Shimoyama, Sibaji Gaj, Kunio Nakamura, et al.
Quantitative Imaging in Medicine and Surgery|May 3, 2022
Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learningMingrui Yang, Ceylan Colak, Kishore K Chundru, et al.
Magnetic Resonance in Medicine|February 6, 2023
Deep learning-based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltrationSibaji Gaj, Brendan L Eck, Dongxing Xie, et al.
Osteoarthritis Imaging|August 21, 2025
Radiomic features of infrapatellar fat pad are associated with knee symptoms and radiographic post-traumatic osteoarthritis at 10+ years after anterior cruciate ligament reconstructionSameed Khan, Richard Lartey, Nancy Obuchowski, et al.
Radiology. Artificial Intelligence|July 8, 2021
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized DatasetArjun D Desai, Francesco Caliva, Claudia Iriondo, et al.
Osteoarthritis Imaging|July 22, 2024
Towards Automatic Cartilage Quantification in Clinical Trials - Continuing from the 2019 IWOAI Knee Segmentation ChallengeErik B Dam, Arjun D Desai, Cem M Deniz, et al.
Quantitative Imaging in Medicine and Surgery|December 19, 2024
Reproducibility of proton density fat fraction assessment of thigh muscle in a multi-site, multi-vendor cohort study at 10 years after anterior cruciate ligament reconstructionBrendan L Eck, Sibaji Gaj, Richard Lartey, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Plos One|September 1, 2021
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRISibaji Gaj, Daniel Ontaneda, Kunio Nakamura
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|February 9, 2025
Subject-Based Transfer Learning in Longitudinal Multiple Sclerosis Lesion SegmentationSibaji Gaj, Bhaskar Thoomukuntla, Daniel Ontaneda, et al.
Magnetic Resonance in Medicine|December 4, 2019
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networksSibaji Gaj, Mingrui Yang, Kunio Nakamura, et al.
Journal of the Neurological Sciences|May 6, 2023
Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic strokeTakashi Shimoyama, Sibaji Gaj, Kunio Nakamura, et al.
Quantitative Imaging in Medicine and Surgery|May 3, 2022
Automated knee cartilage segmentation for heterogeneous clinical MRI using generative adversarial networks with transfer learningMingrui Yang, Ceylan Colak, Kishore K Chundru, et al.
Magnetic Resonance in Medicine|February 6, 2023
Deep learning-based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltrationSibaji Gaj, Brendan L Eck, Dongxing Xie, et al.
Osteoarthritis Imaging|August 21, 2025
Radiomic features of infrapatellar fat pad are associated with knee symptoms and radiographic post-traumatic osteoarthritis at 10+ years after anterior cruciate ligament reconstructionSameed Khan, Richard Lartey, Nancy Obuchowski, et al.
Radiology. Artificial Intelligence|July 8, 2021
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized DatasetArjun D Desai, Francesco Caliva, Claudia Iriondo, et al.
Osteoarthritis Imaging|July 22, 2024
Towards Automatic Cartilage Quantification in Clinical Trials - Continuing from the 2019 IWOAI Knee Segmentation ChallengeErik B Dam, Arjun D Desai, Cem M Deniz, et al.
Quantitative Imaging in Medicine and Surgery|December 19, 2024
Reproducibility of proton density fat fraction assessment of thigh muscle in a multi-site, multi-vendor cohort study at 10 years after anterior cruciate ligament reconstructionBrendan L Eck, Sibaji Gaj, Richard Lartey, et al.
Pageof 2