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Albert Montillo

Showing results (21-30 of 44) with videos related to

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Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Combining generative and discriminative models for semantic segmentation of CT scans via active learningJuan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, et al.
Medical Computer Vision : Large Data in Medical Imaging : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013 : Revised Selected Papers. MCV (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|November 15, 2019
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlasZhennan Yan, Shaoting Zhang, Xiaofeng Liu, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|March 12, 2021
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural StabilityVyom Raval, Kevin P Nguyen, Ashley Gerald, et al.
Conference Proceedings. International Conference on Image Formation in X-Ray Computed Tomography|December 3, 2019
Feasibility study on ultra-low dose 3D scout of organ based CT scan planningZhye Yin, Yangyang Yao, Albert Montillo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Deformable atlas for multi-structure segmentationXiaofeng Liu, Albert Montillo, Ek T Tan, et al.
Brain Informatics : International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. International Conference on Brain Informatics (2018 : Arlington, Tex.)|November 27, 2019
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding PerspectiveDebadatta Dash, Paul Ferrari, Saleem Malik, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versionsKevin P Nguyen, Cherise Chin Fatt, Cooper Mellema, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Entangled decision forests and their application for semantic segmentation of CT imagesAlbert Montillo, Jamie Shotton, John Winn, et al.
Neuroimaging Clinics of North America|October 8, 2017
Applications of Resting State Functional MR Imaging to Traumatic Brain InjuryThomas J O'Neill, Elizabeth M Davenport, Gowtham Murugesan, et al.
... International Workshop on Pattern Recognition in Neuroimaging. International Workshop on Pattern Recognition in Neuroimaging|October 29, 2019
Automatic 1D Convolutional Neural Network-based Detection of Artifacts in MEG acquired without Electrooculography or ElectrocardiographyPrabhat Garg, Elizabeth Davenport, Gowtham Murugesan, et al.
Pageof 5

Showing results (21-30 of 44) with videos related to

Sort By:
Pageof 5
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Combining generative and discriminative models for semantic segmentation of CT scans via active learningJuan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, et al.
Medical Computer Vision : Large Data in Medical Imaging : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013 : Revised Selected Papers. MCV (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|November 15, 2019
Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlasZhennan Yan, Shaoting Zhang, Xiaofeng Liu, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|March 12, 2021
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural StabilityVyom Raval, Kevin P Nguyen, Ashley Gerald, et al.
Conference Proceedings. International Conference on Image Formation in X-Ray Computed Tomography|December 3, 2019
Feasibility study on ultra-low dose 3D scout of organ based CT scan planningZhye Yin, Yangyang Yao, Albert Montillo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Deformable atlas for multi-structure segmentationXiaofeng Liu, Albert Montillo, Ek T Tan, et al.
Brain Informatics : International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. International Conference on Brain Informatics (2018 : Arlington, Tex.)|November 27, 2019
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding PerspectiveDebadatta Dash, Paul Ferrari, Saleem Malik, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Sensitivity of derived clinical biomarkers to rs-fMRI preprocessing software versionsKevin P Nguyen, Cherise Chin Fatt, Cooper Mellema, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Entangled decision forests and their application for semantic segmentation of CT imagesAlbert Montillo, Jamie Shotton, John Winn, et al.
Neuroimaging Clinics of North America|October 8, 2017
Applications of Resting State Functional MR Imaging to Traumatic Brain InjuryThomas J O'Neill, Elizabeth M Davenport, Gowtham Murugesan, et al.
... International Workshop on Pattern Recognition in Neuroimaging. International Workshop on Pattern Recognition in Neuroimaging|October 29, 2019
Automatic 1D Convolutional Neural Network-based Detection of Artifacts in MEG acquired without Electrooculography or ElectrocardiographyPrabhat Garg, Elizabeth Davenport, Gowtham Murugesan, et al.
Pageof 5