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Gerard Lozanski
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2020 – today
- 2020
- [j8]Maciej Pietrzak, Gerard Lozanski, Michael Grever, Leslie Andritsos, James S. Blachly, Kerry Rogers, Michal Seweryn:
On the analysis of the human immunome via an information theoretical approach. Int. J. Comput. Biol. Drug Des. 13(5/6): 555-581 (2020)
2010 – 2019
- 2019
- [c13]Çaglar Senaras, M. Khalid Khan Niazi, Vidya Arole, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Segmentation of follicles from CD8-stained slides of follicular lymphoma using deep learning. Medical Imaging: Digital Pathology 2019: 109560R - 2018
- [c12]Çaglar Senaras, Berkman Sahiner, Gary Tozbikian, Gerard Lozanski, Metin N. Gurcan:
Creating synthetic digital slides using conditional generative adversarial networks: application to Ki67 staining. Medical Imaging: Digital Pathology 2018: 1058103 - [c11]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
Tumor microenvironment for follicular lymphoma: structural analysis for outcome prediction. Medical Imaging: Digital Pathology 2018: 1058106 - 2017
- [c10]Çaglar Senaras, Michael Pennell, Weijie Chen, Berkman Sahiner, Arwa Shana'ah, Abner Louissaint, Robert Paul Hasserjian, Gerard Lozanski, Metin Nafi Gürcan:
FOXP3-stained image analysis for follicular lymphoma: optimal adaptive thresholding with maximal nucleus coverage. Medical Imaging: Digital Pathology 2017: 101400E - 2016
- [j7]Karl W. Kroll, Ann-Katherin Eisfeld, Gerard Lozanski, Clara D. Bloomfield, John C. Byrd, James S. Blachly:
MuCor: mutation aggregation and correlation. Bioinform. 32(10): 1557-1558 (2016) - 2015
- [j6]Mohammad Faizal Ahmad Fauzi, Michael Pennell, Berkman Sahiner, Weijie Chen, Arwa Shana'ah, Jessica Hemminger, Alejandro Gru, Habibe Kurt, Michael Losos, Amy Joehlin-Price, Christina Kavran, Stephen M. Smith, Nicholas Nowacki, Sharmeen Mansor, Gerard Lozanski, Metin N. Gurcan:
Classification of follicular lymphoma: the effect of computer aid on pathologists grading. BMC Medical Informatics Decis. Mak. 15: 115 (2015) - 2014
- [c9]M. Khalid Khan Niazi, Jessica Hemminger, Habibe Kurt, Gerard Lozanski, Metin N. Gurcan:
Grading vascularity from histopathological images based on traveling salesman distance and vessel size. Medical Imaging: Digital Pathology 2014: 90410C - 2013
- [c8]M. Khalid Khan Niazi, Michael Pennell, Camille Elkins, Jessica Hemminger, Ming Jin, Sean Kirby, Habibe Kurt, Barrie Miller, Elizabeth Plocharczyk, Rachel Roth, Rebecca Ziegler, Arwa Shana'ah, Fred Racke, Gerard Lozanski, Metin N. Gurcan:
Entropy based quantification of Ki-67 positive cell images and its evaluation by a reader study. Medical Imaging: Digital Pathology 2013: 86760I - [c7]Evrim Acar, Gerard Lozanski, Metin N. Gurcan:
Tensor-based computation and modeling in multi-resolution digital pathology imaging: application to follicular lymphoma grading. Medical Imaging: Digital Pathology 2013: 867603 - 2012
- [c6]Hatice Çinar Akakin, Hui Kong, Camille Elkins, Jessica Hemminger, Barrie Miller, Jin Ming, Elizabeth Plocharczyk, Rachel Roth, Mitchell Weinberg, Rebecca Ziegler, Gerard Lozanski, Metin N. Gurcan:
Automated detection of cells from immunohistochemically-stained tissues: application to Ki-67 nuclei staining. Medical Imaging: Computer-Aided Diagnosis 2012: 831503 - 2011
- [j5]Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan:
Automatic detection of follicular regions in H&E images using iterative shape index. Comput. Medical Imaging Graph. 35(7-8): 592-602 (2011) - 2010
- [j4]Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan:
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. IEEE Trans. Biomed. Eng. 57(10): 2609-2612 (2010) - [j3]Olcay Sertel, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan:
Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation. IEEE Trans. Biomed. Eng. 57(10): 2613-2616 (2010) - [c5]Olcay Sertel, Ümit V. Çatalyürek, Gerard Lozanski, Arwa Shanaah, Metin N. Gurcan:
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma. ICPR 2010: 273-276 - [c4]Kamel Belkacem-Boussaid, Michael Pennell, Gerard Lozanski, Arwa Shana'ah, Metin N. Gurcan:
Effect of pathologist agreement on evaluating a computer-aided assisted system: recognizing centroblast cells in follicular lymphoma cases. ISBI 2010: 1411-1414 - [c3]Kamel Belkacem-Boussaid, Jeffrey W. Prescott, Gerard Lozanski, Metin N. Gurcan:
Segmentation of follicular regions on H&E slides using a matching filter and active contour model. Medical Imaging: Computer-Aided Diagnosis 2010: 762436
2000 – 2009
- 2009
- [j2]Lee A. D. Cooper, Olcay Sertel, Jun Kong, Gerard Lozanski, Kun Huang, Metin N. Gurcan:
Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis. Comput. Methods Programs Biomed. 96(3): 182-192 (2009) - [j1]Olcay Sertel, Jun Kong, Ümit V. Çatalyürek, Gerard Lozanski, Joel H. Saltz, Metin N. Gurcan:
Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading. J. Signal Process. Syst. 55(1-3): 169-183 (2009) - 2008
- [c2]Olcay Sertel, Jun Kong, Gerard Lozanski, Arwa Shanaah, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Texture classification using nonlinear color quantization: Application to histopathological image analysis. ICASSP 2008: 597-600 - [c1]Olcay Sertel, Jun Kong, Gerard Lozanski, Ümit V. Çatalyürek, Joel H. Saltz, Metin N. Gurcan:
Computerized microscopic image analysis of follicular lymphoma. Medical Imaging: Computer-Aided Diagnosis 2008: 691535
Coauthor Index
aka: Metin N. Gurcan
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