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Albert Montillo

Showing results (11-20 of 44) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRICooper Mellema, Alex Treacher, Kevin Nguyen, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 5, 2019
Hierarchical Pictorial Structures for Simultaneously Localizing Multiple Organs in Volumetric Pre-Scan CTAlbert Montillo, Qi Song, Bipul Das, et al.
Communications of the ACM|October 31, 2019
VOLUMETRIC HEART MODELING AND ANALYSIS: Using magnetically tagged data to better understand the mechanical function of normal and abnormal heartsKyoungju Park, Albert Montillo, Dimitris Metaxas, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 31, 2014
Parsing radiographs by integrating landmark set detection and multi-object active appearance modelsAlbert Montillo, Qi Song, Xiaoming Liu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Improved motion correction for functional MRI using an omnibus regression modelVyom Raval, Kevin P Nguyen, Cooper Mellema, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum DisorderCooper J Mellema, Alex Treacher, Kevin P Nguyen, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
iSTAPLE: Improved Label Fusion for Segmentation by Combining STAPLE with Image IntensityXiaofeng Liu, Albert Montillo, Ek T Tan, et al.
Scientific Reports|February 24, 2022
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learningCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 19, 2014
BRAIN TUMOR SEGMENTATION WITH SYMMETRIC TEXTURE AND SYMMETRIC INTENSITY-BASED DECISION FORESTSAnthony Bianchi, James V Miller, Ek Tsoon Tan, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 3, 2019
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer's diseaseZhennan Yan, Shaoting Zhang, Xiaofeng Liu, et al.
Pageof 5

Showing results (11-20 of 44) with videos related to

Sort By:
Pageof 5
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted from Structural and Functional MRICooper Mellema, Alex Treacher, Kevin Nguyen, et al.
Proceedings of Spie--The International Society for Optical Engineering|December 5, 2019
Hierarchical Pictorial Structures for Simultaneously Localizing Multiple Organs in Volumetric Pre-Scan CTAlbert Montillo, Qi Song, Bipul Das, et al.
Communications of the ACM|October 31, 2019
VOLUMETRIC HEART MODELING AND ANALYSIS: Using magnetically tagged data to better understand the mechanical function of normal and abnormal heartsKyoungju Park, Albert Montillo, Dimitris Metaxas, et al.
Proceedings of Spie--The International Society for Optical Engineering|July 31, 2014
Parsing radiographs by integrating landmark set detection and multi-object active appearance modelsAlbert Montillo, Qi Song, Xiaoming Liu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Improved motion correction for functional MRI using an omnibus regression modelVyom Raval, Kevin P Nguyen, Cooper Mellema, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|March 26, 2021
Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum DisorderCooper J Mellema, Alex Treacher, Kevin P Nguyen, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
iSTAPLE: Improved Label Fusion for Segmentation by Combining STAPLE with Image IntensityXiaofeng Liu, Albert Montillo, Ek T Tan, et al.
Scientific Reports|February 24, 2022
Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learningCooper J Mellema, Kevin P Nguyen, Alex Treacher, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 19, 2014
BRAIN TUMOR SEGMENTATION WITH SYMMETRIC TEXTURE AND SYMMETRIC INTENSITY-BASED DECISION FORESTSAnthony Bianchi, James V Miller, Ek Tsoon Tan, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 3, 2019
Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer's diseaseZhennan Yan, Shaoting Zhang, Xiaofeng Liu, et al.
Pageof 5