Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

Ajay Basavanhally https://orcid.org/0000-0002-4713-815X

Andrew Janowczyk Ajay Basavanhally Anant Madabhushi Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. 50-61 2017 57 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2016.05.003 https://www.wikidata.org/entity/Q40386639 db/journals/cmig/cmig57.html#JanowczykBM17

Haibo Wang Angel Cruz-Roa Ajay Basavanhally Hannah Gilmore Natalie Shih Mike Feldman John Tomaszewski 0001 Fabio A. González 0001 Anant Madabhushi Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. 90410B 2014 Digital Pathology https://doi.org/10.1117/12.2043902 conf/midp/2014 db/conf/midp/midp2014.html#WangCBGSFTGM14 Angel Cruz-Roa Ajay Basavanhally Fabio A. González 0001 Hannah Gilmore Michael D. Feldman Shridar Ganesan Natalie Shih John Tomaszewski 0001 Anant Madabhushi Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. 904103 2014 Digital Pathology https://doi.org/10.1117/12.2043872 conf/midp/2014 db/conf/midp/midp2014.html#Cruz-RoaBGGFGST14

Ajay Basavanhally Shridar Ganesan Michael D. Feldman Natalie Shih Carolyn Mies John Tomaszewski 0001 Anant Madabhushi Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. 2089-2099 2013 60 IEEE Trans. Biomed. Eng. 8 https://doi.org/10.1109/TBME.2013.2245129 https://www.wikidata.org/entity/Q34326799 db/journals/tbe/tbe60.html#BasavanhallyGFSMTM13

Shoshana Ginsburg Sahirzeeshan Ali George Lee 0002 Ajay Basavanhally Anant Madabhushi Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. 238-245 2013 MICCAI (2) https://doi.org/10.1007/978-3-642-40763-5_30 https://www.wikidata.org/entity/Q62498004 conf/miccai/2013-2 db/conf/miccai/miccai2013-2.html#GinsburgALBM13 Ajay Basavanhally Anant Madabhushi EM-based segmentation-driven color standardization of digitized histopathology. 86760G 2013 Digital Pathology https://doi.org/10.1117/12.2007173 conf/midp/2013 db/conf/midp/midp2013.html#BasavanhallyM13

Anant Madabhushi Shannon Agner Ajay Basavanhally Scott Doyle George Lee 0002 Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. 506-514 2011 35 Comput. Medical Imaging Graph. 7-8 https://doi.org/10.1016/j.compmedimag.2011.01.008 https://www.wikidata.org/entity/Q33824348 db/journals/cmig/cmig35.html#MadabhushiABDL11

Ajay Basavanhally Shridar Ganesan Natalie Shih Carolyn Mies Michael D. Feldman John Tomaszewski 0001 Anant Madabhushi A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. 125-128 2011 ISBI https://doi.org/10.1109/ISBI.2011.5872370 conf/isbi/2011 db/conf/isbi/isbi2011.html#BasavanhallyGSMFTM11 Ajay Basavanhally Elaine Yu Jun Xu 0005 Shridar Ganesan Michael D. Feldman John Tomaszewski 0001 Anant Madabhushi Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. 796310 2011 Computer-Aided Diagnosis https://doi.org/10.1117/12.878092 conf/micad/2011 db/conf/micad/micad2011.html#BasavanhallyYXG11

Ajay Basavanhally Shridar Ganesan Shannon Agner James Monaco Michael D. Feldman John Tomaszewski 0001 Gyan Bhanot Anant Madabhushi Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. 642-653 2010 57 IEEE Trans. Biomed. Eng. 3 https://doi.org/10.1109/TBME.2009.2035305 https://www.wikidata.org/entity/Q48583647 db/journals/tbe/tbe57.html#BasavanhallyGAMFTBM10

Hussain Fatakdawala Jun Xu 0005 Ajay Basavanhally Gyan Bhanot Shridar Ganesan Michael D. Feldman John Tomaszewski 0001 Anant Madabhushi Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. 1676-1689 2010 57 IEEE Trans. Biomed. Eng. 7 https://doi.org/10.1109/TBME.2010.2041232 https://www.wikidata.org/entity/Q51720039 db/journals/tbe/tbe57.html#FatakdawalaXBBGFTM10

Ajay Basavanhally Scott Doyle Anant Madabhushi Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. 229-232 2010 ISBI https://doi.org/10.1109/ISBI.2010.5490373 conf/isbi/2010 db/conf/isbi/isbi2010.html#BasavanhallyDM10 Anant Madabhushi Ajay Basavanhally Scott Doyle Shannon Agner George Lee 0002 Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. 1415-1418 2010 ISBI https://doi.org/10.1109/ISBI.2010.5490264 conf/isbi/2010 db/conf/isbi/isbi2010.html#MadabhushiBDAL10 Hussain Fatakdawala Ajay Basavanhally Jun Xu 0005 Gyan Bhanot Shridar Ganesan Michael D. Feldman John Tomaszewski 0001 Anant Madabhushi Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. 69-76 2009 BIBE https://doi.org/10.1109/BIBE.2009.75 https://doi.ieeecomputersociety.org/10.1109/BIBE.2009.75 conf/bibe/2009 db/conf/bibe/bibe2009.html#FatakdawalaBXBGFTM09 Ajay Basavanhally Jun Xu 0005 Shridar Ganesan Anant Madabhushi Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. 851-854 2009 ISBI https://doi.org/10.1109/ISBI.2009.5193186 conf/isbi/2009 db/conf/isbi/isbi2009.html#BasavanhallyXGM09 Jay Naik Scott Doyle Ajay Basavanhally Shridar Ganesan Michael D. Feldman John Tomaszewski 0001 Anant Madabhushi A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. 72603F 2009 Computer-Aided Diagnosis https://doi.org/10.1117/12.813931 conf/micad/2009 db/conf/micad/micad2009.html#NaikDBGFTM09 Shannon Agner Sahirzeeshan Ali Gyan Bhanot Angel Cruz-Roa Scott Doyle Hussain Fatakdawala Michael D. Feldman Mike Feldman Shridar Ganesan Hannah Gilmore Shoshana Ginsburg Fabio A. González 0001 Andrew Janowczyk George Lee 0002 Anant Madabhushi Carolyn Mies James Monaco Jay Naik Natalie Shih John Tomaszewski 0001 Haibo Wang Jun Xu 0005 Elaine Yu