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Sahirzeeshan Ali

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Medical Imaging|April 14, 2012
An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagerySahirzeeshan Ali, Anant Madabhushi
Journal of Pathology Informatics|July 20, 2012
Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathologySahirzeeshan Ali, Anant Madabhushi
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumorsSahirzeeshan Ali, James Lewis, Anant Madabhushi
IEEE Transactions on Medical Imaging|July 18, 2015
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital PathologyShoshana B Ginsburg, George Lee, Sahirzeeshan Ali, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Variable importance in nonlinear kernels (VINK): classification of digitized histopathologyShoshana Ginsburg, Sahirzeeshan Ali, George Lee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 4, 2014
Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarraysSahirzeeshan Ali, Robert Veltri, Jonathan I Epstein, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Adaptive energy selective active contour with shape priors for nuclear segmentation and gleason grading of prostate cancerSahirzeeshan Ali, Robert Veltri, Jonathan I Epstein, et al.
The American Journal of Surgical Pathology|October 23, 2013
A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinomaJames S Lewis, Sahirzeeshan Ali, Jingqin Luo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarraysGeorge Lee, Sahirzeeshan Ali, Robert Veltri, et al.
European Urology Focus|July 30, 2017
Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary FindingsGeorge Lee, Robert W Veltri, Guangjing Zhu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Medical Imaging|April 14, 2012
An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagerySahirzeeshan Ali, Anant Madabhushi
Journal of Pathology Informatics|July 20, 2012
Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathologySahirzeeshan Ali, Anant Madabhushi
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumorsSahirzeeshan Ali, James Lewis, Anant Madabhushi
IEEE Transactions on Medical Imaging|July 18, 2015
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital PathologyShoshana B Ginsburg, George Lee, Sahirzeeshan Ali, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Variable importance in nonlinear kernels (VINK): classification of digitized histopathologyShoshana Ginsburg, Sahirzeeshan Ali, George Lee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 4, 2014
Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarraysSahirzeeshan Ali, Robert Veltri, Jonathan I Epstein, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Adaptive energy selective active contour with shape priors for nuclear segmentation and gleason grading of prostate cancerSahirzeeshan Ali, Robert Veltri, Jonathan I Epstein, et al.
The American Journal of Surgical Pathology|October 23, 2013
A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinomaJames S Lewis, Sahirzeeshan Ali, Jingqin Luo, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarraysGeorge Lee, Sahirzeeshan Ali, Robert Veltri, et al.
European Urology Focus|July 30, 2017
Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary FindingsGeorge Lee, Robert W Veltri, Guangjing Zhu, et al.
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