2012,"Boosted Consensus Classifier for Large Images Using Fields of View of Various Sizes"PCT/US12/20821,Anant Madabhushi, & Ajay Basavanhally.
2010,"Image-based risk score-a prognostic predictor of survival and outcome from digital histopathology"US20120106821,Anant Madabhushi, Ajay Basavanhally, & Shridar Ganesan.
2009,"System and Method for Accurate and Rapid Identification of Diseased Regions on Biological Images with Applications to Disease Diagnosis and Prognosis"US 2011/0243417 A1,Anant Madabhushi, James Monaco, Michael Feldman, John Tomaszewski, & Ajay Basavanhally.
Publications
Cruz-Roa, A., Gilmore, H., Basavanhally, A., Feldman, M., Ganesan, S., Shih, N., Tomaszewski, J., Madabhushi, A., & Gonz�lez, F.(2018).High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.PLoS ONE,13(5).
Verma, N., Harding, D., Mohammadi, A., Goldstein, L., Gilmore, H., Feldman, M., Tomaszewski, J., Basavanhally, A., Lloyd, M., Fu, P., Ganesan, S., Davidson, N., Madabhushi, A., & Monaco, J.(2018).Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197..Journal of Clinical Oncology,36(15_suppl),540-540.
Janowczyk, A., Basavanhally, A., & Madabhushi, A.(2017).Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society,57, 50 - 61.
Janowczyk, A., Basavanhally, A., & Madabhushi, A.(2017).Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.Computerized Medical Imaging and Graphics,57, 50-61.
Janowczyk, A., Basavanhally, A., & Madabhushi, A.(2016).Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology..Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
Janowczyk, A., Basavanhally, A., & Madabhushi, A.(2016).Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.Computerized Medical Imaging and Graphics [08956111].
Basavanhally, A., Viswanath, S. E., & Madabhushi, A. E.(2015).Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer..PloS one,10(5),e0117900.
Basavanhally, A., Viswanath, S. E., & Madabhushi, A. E.(2015). Predicting Classifier Performance With Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer.PLOS ONE.
Wang, Z., Cruz-Roa, A., Basavanhally, A., Gilmore, H., Shih, N., Feldman, M., Tomaszewski, J., Gonzalez, F., & Madabhushi, A.(2014).Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features..Journal of medical imaging (Bellingham, Wash.),1(3),034003.
Basavanhally, A., Kang, S., Larriba-Andaluz, C., Ouyang, H., Hogan, C., & Sankaran, R.(2014).Gas-phase synthesis of isolated, ligand-free Ni nanoclusters at atmospheric pressure.Nanotechnology,25, 385601.
Madabhushi, A., & Basavanhally, A.(2013).Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.IEEE Transactions on Medical Imaging,60(8),2080-99.
Basavanhally, A., Ganesan, S., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., & Madabhushi, A.(2013).Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides..IEEE transactions on bio-medical engineering,60(8),2089-99.
Ginsburg, S., Karabalin, R., Lee, G., Basavanhally, A., & Madabhushi, A.(2013).Variable importance in nonlinear kernels (VINK): classification of digitized histopathology..Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention,16(Pt 2),238-45.
Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S., & Lee, G.(2011).Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data..Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society,35(7-8),506-14.
Basavanhally, A., Feldman, M., Shih, N., Miesner, C., Tomaszewski, J., Ganesan, S., & Madabhushi, A.(2011).Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX..Journal of pathology informatics,2, S1.
Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., Tomaszewski, J., & Feldman, M.(2010).Integrated diagnostics: a conceptual framework with examples..Clinical chemistry and laboratory medicine,48(7),989-98.
Fatakdawala, H., Xu, J., Basavanhally, A., Bhanot, G., Ganesan, S., Feldman, M., Tomaszewski, J., & Madabhushi, A.(2010).Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology..IEEE transactions on bio-medical engineering,57(7),1676-89.
Basavanhally, A., Ganesan, S., Agner, S., Monaco, J., Feldman, M., Tomaszewski, J., Bhanot, G., & Madabhushi, A.(2010).Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology..IEEE transactions on bio-medical engineering,57(3),642-53.
Alexe, G., Monaco, J., Doyle, S., Basavanhally, A., Reddy, A., Seiler, M., Ganesan, S., Bhanot, G., & Madabhushi, A.(2009).Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging..Experimental biology and medicine (Maywood, N.J.),234(8),860-79.
