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Alan L Yuille

Showing results (21-30 of 38) with videos related to

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The Journal of Trauma and Acute Care Surgery|February 29, 2020
Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision supportDavid Dreizin, Yuyin Zhou, Tina Chen, et al.
Current Problems in Diagnostic Radiology|September 29, 2020
Pancreatic Cancer Imaging: A New Look at an Old ProblemLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Abdominal Radiology (New York)|May 7, 2020
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controlsLinda C Chu, Berkan Solmaz, Seyoun Park, et al.
Radiology. Artificial Intelligence|December 17, 2020
A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical EstimationDavid Dreizin, Yuyin Zhou, Shuhao Fu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 17, 2024
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural ImagesBingchen Zhao, Jiahao Wang, Wufei Ma, et al.
International Journal of Imaging Systems and Technology|November 4, 2011
Large Sample Group Independent Component Analysis of Functional Magnetic Resonance Imaging Using Anatomical Atlas-Based Reduction and Bootstrapped ClusteringAriana Anderson, Jennifer Bramen, Pamela K Douglas, et al.
Neuroimage|December 24, 2013
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHDAriana Anderson, Pamela K Douglas, Wesley T Kerr, et al.
Abdominal Radiology (New York)|January 20, 2021
Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysisDavid Dreizin, Tina Chen, Yuanyuan Liang, et al.
IEEE Transactions on Medical Imaging|April 13, 2007
Automated extraction of the cortical sulci based on a supervised learning approachZhuowen Tu, Songfeng Zheng, Alan L Yuille, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
A learning based algorithm for automatic extraction of the cortical sulciSongfeng Zheng, Zhuowen Tu, Alan L Yuille, et al.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
The Journal of Trauma and Acute Care Surgery|February 29, 2020
Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision supportDavid Dreizin, Yuyin Zhou, Tina Chen, et al.
Current Problems in Diagnostic Radiology|September 29, 2020
Pancreatic Cancer Imaging: A New Look at an Old ProblemLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Abdominal Radiology (New York)|May 7, 2020
Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controlsLinda C Chu, Berkan Solmaz, Seyoun Park, et al.
Radiology. Artificial Intelligence|December 17, 2020
A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical EstimationDavid Dreizin, Yuyin Zhou, Shuhao Fu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 17, 2024
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural ImagesBingchen Zhao, Jiahao Wang, Wufei Ma, et al.
International Journal of Imaging Systems and Technology|November 4, 2011
Large Sample Group Independent Component Analysis of Functional Magnetic Resonance Imaging Using Anatomical Atlas-Based Reduction and Bootstrapped ClusteringAriana Anderson, Jennifer Bramen, Pamela K Douglas, et al.
Neuroimage|December 24, 2013
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHDAriana Anderson, Pamela K Douglas, Wesley T Kerr, et al.
Abdominal Radiology (New York)|January 20, 2021
Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysisDavid Dreizin, Tina Chen, Yuanyuan Liang, et al.
IEEE Transactions on Medical Imaging|April 13, 2007
Automated extraction of the cortical sulci based on a supervised learning approachZhuowen Tu, Songfeng Zheng, Alan L Yuille, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
A learning based algorithm for automatic extraction of the cortical sulciSongfeng Zheng, Zhuowen Tu, Alan L Yuille, et al.
Pageof 4