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Natalie Shih

Showing results (1-10 of 22) with videos related to

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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2011
HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragmentsJonathan Chappelow, John E Tomaszewski, Michael Feldman, et al.
BMC Bioinformatics|November 1, 2012
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancerScott Doyle, Michael D Feldman, Natalie Shih, et al.
Biochemistry|August 9, 2012
Unusual cold denaturation of a small protein domainGinka S Buchner, Natalie Shih, Amy E Reece, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov modelsElaine Yu, James P Monaco, John Tomaszewski, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slidesAjay Basavanhally, Shridar Ganesan, Michael Feldman, et al.
Journal of Pathology Informatics|July 20, 2012
Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DXAjay Basavanhally, Michael Feldman, Natalie Shih, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRIPratik Patel, Jonathan Chappelow, John Tomaszewski, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.
Plos One|May 26, 2018
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detectionAngel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, et al.
Oncotarget|April 15, 2017
The ovarian cancer oncobiomeSagarika Banerjee, Tian Tian, Zhi Wei, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2011
HistoStitcher(©): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragmentsJonathan Chappelow, John E Tomaszewski, Michael Feldman, et al.
BMC Bioinformatics|November 1, 2012
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancerScott Doyle, Michael D Feldman, Natalie Shih, et al.
Biochemistry|August 9, 2012
Unusual cold denaturation of a small protein domainGinka S Buchner, Natalie Shih, Amy E Reece, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov modelsElaine Yu, James P Monaco, John Tomaszewski, et al.
IEEE Transactions on Bio-Medical Engineering|February 9, 2013
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slidesAjay Basavanhally, Shridar Ganesan, Michael Feldman, et al.
Journal of Pathology Informatics|July 20, 2012
Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DXAjay Basavanhally, Michael Feldman, Natalie Shih, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRIPratik Patel, Jonathan Chappelow, John Tomaszewski, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 10, 2015
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network featuresHaibo Wang, Angel Cruz-Roa, Ajay Basavanhally, et al.
Plos One|May 26, 2018
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detectionAngel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, et al.
Oncotarget|April 15, 2017
The ovarian cancer oncobiomeSagarika Banerjee, Tian Tian, Zhi Wei, et al.
Pageof 3