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Lawrence H Staib

Showing results (61-70 of 106) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2020
2-CHANNEL CONVOLUTIONAL 3D DEEP NEURAL NETWORK (2CC3D) FOR FMRI ANALYSIS: ASD CLASSIFICATION AND FEATURE LEARNINGXiaoxiao Li, Nicha C Dvornek, Xenophon Papademetris, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Bayesian analysis of fMRI data with ICA based spatial priorDeepti R Bathula, Hemant D Tagare, Lawrence H Staib, et al.
AJR. American Journal of Roentgenology|February 26, 2015
The clinical impact of gynecologic MRIElena S Ratner, Lawrence H Staib, Sarah N Cross, et al.
The Insight Journal|November 4, 2014
BioImage Suite: An integrated medical image analysis suite: An updateXenophon Papademetris, Marcel P Jackowski, Nallakkandi Rajeevan, et al.
Medical Image Analysis|January 14, 2009
Calculation of the confidence intervals for transformation parameters in the registration of medical imagesRavi Bansal, Lawrence H Staib, Andrew F Laine, et al.
The Breast Journal|December 13, 2016
Knowledge of Density and Screening UltrasoundNitya S Moothathu, Liane E Philpotts, Susan H Busch, et al.
Medical Image Analysis|April 22, 2017
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate InterventionJohn A Onofrey, Lawrence H Staib, Saradwata Sarkar, et al.
Biological Psychiatry|April 18, 2002
Reduced volume of orbitofrontal cortex in major depressionJ Douglas Bremner, Meena Vythilingam, Eric Vermetten, et al.
Neuroreport|August 18, 2016
Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorderArchana Venkataraman, Daniel Y-J Yang, Nicha Dvornek, et al.
Annual Review of Biomedical Engineering|March 15, 2020
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image SegmentationJohn A Onofrey, Lawrence H Staib, Xiaojie Huang, et al.
Pageof 11

Showing results (61-70 of 106) with videos related to

Sort By:
Pageof 11
Proceedings. IEEE International Symposium on Biomedical Imaging|September 28, 2020
2-CHANNEL CONVOLUTIONAL 3D DEEP NEURAL NETWORK (2CC3D) FOR FMRI ANALYSIS: ASD CLASSIFICATION AND FEATURE LEARNINGXiaoxiao Li, Nicha C Dvornek, Xenophon Papademetris, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Bayesian analysis of fMRI data with ICA based spatial priorDeepti R Bathula, Hemant D Tagare, Lawrence H Staib, et al.
AJR. American Journal of Roentgenology|February 26, 2015
The clinical impact of gynecologic MRIElena S Ratner, Lawrence H Staib, Sarah N Cross, et al.
The Insight Journal|November 4, 2014
BioImage Suite: An integrated medical image analysis suite: An updateXenophon Papademetris, Marcel P Jackowski, Nallakkandi Rajeevan, et al.
Medical Image Analysis|January 14, 2009
Calculation of the confidence intervals for transformation parameters in the registration of medical imagesRavi Bansal, Lawrence H Staib, Andrew F Laine, et al.
The Breast Journal|December 13, 2016
Knowledge of Density and Screening UltrasoundNitya S Moothathu, Liane E Philpotts, Susan H Busch, et al.
Medical Image Analysis|April 22, 2017
Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate InterventionJohn A Onofrey, Lawrence H Staib, Saradwata Sarkar, et al.
Biological Psychiatry|April 18, 2002
Reduced volume of orbitofrontal cortex in major depressionJ Douglas Bremner, Meena Vythilingam, Eric Vermetten, et al.
Neuroreport|August 18, 2016
Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorderArchana Venkataraman, Daniel Y-J Yang, Nicha Dvornek, et al.
Annual Review of Biomedical Engineering|March 15, 2020
Sparse Data-Driven Learning for Effective and Efficient Biomedical Image SegmentationJohn A Onofrey, Lawrence H Staib, Xiaojie Huang, et al.
Pageof 11