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Scientific Reports
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August 10, 2025
Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models
Vasundhara Acharya, Bülent Yener, Gillian Beamer
Bioinformatics (Oxford, England)
|
July 21, 2004
The cell graphs of cancer
Cigdem Gunduz, Bülent Yener, S Humayun Gultekin
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 19, 2006
Learning the topological properties of brain tumors
Cigdem Demir, S Humayun Gultekin, Bülent Yener
Bioinformatics (Oxford, England)
|
October 6, 2005
Augmented cell-graphs for automated cancer diagnosis
Cigdem Demir, S Humayun Gultekin, Bülent Yener
Plos One
|
April 6, 2012
Coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship
Evrim Acar, George E Plopper, Bülent Yener
IEEE Access : Practical Innovations, Open Solutions
|
March 22, 2024
Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network
Vasundhara Acharya, Diana Choi, BüLENT Yener, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases
|
September 10, 2011
Web tools for molecular epidemiology of tuberculosis
Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, et al.
Data Mining and Knowledge Discovery
|
June 15, 2010
ECM-Aware Cell-Graph Mining for Bone Tissue Modeling and Classification
Cemal Cagatay Bilgin, Peter Bullough, George E Plopper, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
|
April 3, 2012
Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors
Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, et al.
BMC Genomics
|
October 13, 2011
Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors
Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Scientific Reports
|
August 10, 2025
Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models
Vasundhara Acharya, Bülent Yener, Gillian Beamer
Bioinformatics (Oxford, England)
|
July 21, 2004
The cell graphs of cancer
Cigdem Gunduz, Bülent Yener, S Humayun Gultekin
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
October 19, 2006
Learning the topological properties of brain tumors
Cigdem Demir, S Humayun Gultekin, Bülent Yener
Bioinformatics (Oxford, England)
|
October 6, 2005
Augmented cell-graphs for automated cancer diagnosis
Cigdem Demir, S Humayun Gultekin, Bülent Yener
Plos One
|
April 6, 2012
Coupled analysis of in vitro and histology tissue samples to quantify structure-function relationship
Evrim Acar, George E Plopper, Bülent Yener
IEEE Access : Practical Innovations, Open Solutions
|
March 22, 2024
Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network
Vasundhara Acharya, Diana Choi, BüLENT Yener, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases
|
September 10, 2011
Web tools for molecular epidemiology of tuberculosis
Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, et al.
Data Mining and Knowledge Discovery
|
June 15, 2010
ECM-Aware Cell-Graph Mining for Bone Tissue Modeling and Classification
Cemal Cagatay Bilgin, Peter Bullough, George E Plopper, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
|
April 3, 2012
Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors
Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, et al.
BMC Genomics
|
October 13, 2011
Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors
Cagri Ozcaglar, Amina Shabbeer, Scott Vandenberg, et al.
Page
of 3