Search Results - Noguera, Camilo Bermudez

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  1. 1
    Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

    Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge by Sun, Yue, Gao, Kun, Wu, Zhengwang, Li, Guannan, Zong, Xiaopeng, Lei, Zhihao, Wei, Ying, Ma, Jun, Yang, Xiaoping, Feng, Xue, Zhao, Li, Le Phan, Trung, Shin, Jitae, Zhong, Tao, Zhang, Yu, Yu, Lequan, Li, Caizi, Basnet, Ramesh, Ahmad, M. Omair, Swamy, M. N. S., Ma, Wenao, Dou, Qi, Bui, Toan Duc, Noguera, Camilo Bermudez, Landman, Bennett, Gotlib, Ian H., Humphreys, Kathryn L., Shultz, Sarah, Li, Longchuan, Niu, Sijie, Lin, Weili, Jewells, Valerie, Shen, Dinggang, Li, Gang, Wang, Li

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  2. 2
    Towards Portable Large-Scale Image Processing with High-Performance Computing

    Towards Portable Large-Scale Image Processing with High-Performance Computing by Huo, Yuankai, Blaber, Justin, Damon, Stephen M., Boyd, Brian D., Bao, Shunxing, Parvathaneni, Prasanna, Noguera, Camilo Bermudez, Chaganti, Shikha, Nath, Vishwesh, Greer, Jasmine M., Lyu, Ilwoo, French, William R., Newton, Allen T., Rogers, Baxter P., Landman, Bennett A.

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  3. 3
    Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods

    Using deep learning for a diffusion-based segmentation of the dentate nucleus and its benefits over atlas-based methods by Bermudez Noguera, Camilo, Bao, Shunxing, Petersen, Kalen J, Lopez, Alexander M, Reid, Jacqueline, Plassard, Andrew J, Zald, David H, Claassen, Daniel O, Dawant, Benoit M, Landman, Bennett A

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  4. 4
    Abstract 13948: Deep Learning Identification of Brain Structural Atrophy Associated With Heart Failure With Preserved Ejection Fraction Among Patients With Preexisting Dementia Using Clinical Imaging

    Abstract 13948: Deep Learning Identification of Brain Structural Atrophy Associated With Heart Failure With Preserved Ejection Fraction Among Patients With Preexisting Dementia Usi... by Bermudez Noguera, Camilo, Kerley, Cailey I, Ramadass, Karthik, Farber-Eger, Eric H, Lin, Ya-Chen, Kang, Hakmook, Taylor, Warren D, Wells, Quinn, landman, bennett

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  5. 5
    Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

    Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge by Sun, Yue, Gao, Kun, Wu, Zhengwang, Lei, Zhihao, Wei, Ying, Ma, Jun, Yang, Xiaoping, Xue, Feng, Zhao, Li, Trung Le Phan, Shin, Jitae, Zhong, Tao, Zhang, Yu, Yu, Lequan, Li, Caizi, Basnet, Ramesh, Ahmad, M Omair, Swamy, M N S, Ma, Wenao, Dou, Qi, Bui, Toan Duc, Camilo Bermudez Noguera, Landman, Bennett, Gotlib, Ian H, Humphreys, Kathryn L, Shultz, Sarah, Li, Longchuan, Niu, Sijie, Lin, Weili, Jewells, Valerie, Li, Gang, Shen, Dinggang, Wang, Li

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  6. 6
    Abstract 12941: Using Deep Learning to Predict the Framingham Risk Score From Brain Magnetic Resonance Imaging

    Abstract 12941: Using Deep Learning to Predict the Framingham Risk Score From Brain Magnetic Resonance Imaging by Bermudez Noguera, Camilo, Held, Lori, Resnick, Susan, Wells, Quinn, landman, bennett

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