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Nathan Lay

Showing results (1-10 of 30) with videos related to

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Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Rapid multi-organ segmentation using context integration and discriminative modelsNathan Lay, Neil Birkbeck, Jingdan Zhang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 2, 2019
Erratum: Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)Yohan Sumathipala, Nathan Lay, Baris Turkbey, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networksYohan Sumathipala, Nathan Lay, Baris Turkbey, et al.
Abdominal Radiology (New York)|April 28, 2025
State of the art review of AI in renal imagingAli Sheikhy, Fatemeh Dehghani Firouzabadi, Nathan Lay, et al.
Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
The British Journal of Radiology|November 16, 2018
Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changesPerry J Pickhardt, Scott J Lee, Jiamin Liu, et al.
Arxiv|October 7, 2024
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer DetectionAlex Chen, Nathan Lay, Stephanie Harmon, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Detection of prostate cancer in multiparametric MRI using random forest with instance weightingNathan Lay, Yohannes Tsehay, Matthew D Greer, et al.
Journal of Pathology Informatics|March 4, 2022
Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung AdenocarcinomaAlena Arlova, Chengcheng Jin, Abigail Wong-Rolle, et al.
Journal of Pathology Informatics|May 9, 2025
Erratum to "Artificial intelligence-based tumor segmentation in mouse models of lung adenocarcinoma" [Journal of Pathology Informatics Volume 13, 2022, 100007]Alena Arlova, Chengcheng Jin, Abigail Wong-Rolle, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Rapid multi-organ segmentation using context integration and discriminative modelsNathan Lay, Neil Birkbeck, Jingdan Zhang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 2, 2019
Erratum: Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum)Yohan Sumathipala, Nathan Lay, Baris Turkbey, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networksYohan Sumathipala, Nathan Lay, Baris Turkbey, et al.
Abdominal Radiology (New York)|April 28, 2025
State of the art review of AI in renal imagingAli Sheikhy, Fatemeh Dehghani Firouzabadi, Nathan Lay, et al.
Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
The British Journal of Radiology|November 16, 2018
Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changesPerry J Pickhardt, Scott J Lee, Jiamin Liu, et al.
Arxiv|October 7, 2024
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer DetectionAlex Chen, Nathan Lay, Stephanie Harmon, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Detection of prostate cancer in multiparametric MRI using random forest with instance weightingNathan Lay, Yohannes Tsehay, Matthew D Greer, et al.
Journal of Pathology Informatics|March 4, 2022
Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung AdenocarcinomaAlena Arlova, Chengcheng Jin, Abigail Wong-Rolle, et al.
Journal of Pathology Informatics|May 9, 2025
Erratum to "Artificial intelligence-based tumor segmentation in mouse models of lung adenocarcinoma" [Journal of Pathology Informatics Volume 13, 2022, 100007]Alena Arlova, Chengcheng Jin, Abigail Wong-Rolle, et al.
Pageof 3