Seguir
Ajay Basavanhally
Ajay Basavanhally
Dirección de correo verificada de case.edu
Título
Citado por
Citado por
Año
Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks
A Cruz-Roa, A Basavanhally, F González, H Gilmore, M Feldman, ...
Medical Imaging 2014: Digital Pathology 9041, 904103, 2014
6852014
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, ...
Scientific reports 7 (1), 46450, 2017
5042017
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ...
Journal of Medical Imaging 1 (3), 034003-034003, 2014
4072014
Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology
AN Basavanhally, S Ganesan, S Agner, JP Monaco, MD Feldman, ...
IEEE Transactions on biomedical engineering 57 (3), 642-653, 2009
3332009
Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology
H Fatakdawala, J Xu, A Basavanhally, G Bhanot, S Ganesan, M Feldman, ...
IEEE Transactions on Biomedical Engineering 57 (7), 1676-1689, 2010
2522010
Stain normalization using sparse autoencoders (StaNoSA): application to digital pathology
A Janowczyk, A Basavanhally, A Madabhushi
Computerized Medical Imaging and Graphics 57, 50-61, 2017
2132017
Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
A Madabhushi, S Agner, A Basavanhally, S Doyle, G Lee
Computerized medical imaging and graphics 35 (7-8), 506-514, 2011
1532011
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides
A Basavanhally, S Ganesan, M Feldman, N Shih, C Mies, J Tomaszewski, ...
IEEE transactions on biomedical engineering 60 (8), 2089-2099, 2013
1432013
Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection
H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ...
Medical Imaging 2014: Digital Pathology 9041, 66-75, 2014
1412014
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, N Shih, ...
PloS one 13 (5), e0196828, 2018
1322018
In vivo gated 4D imaging of the embryonic heart using optical coherence tomography
MW Jenkins, OQ Chughtai, AN Basavanhally, M Watanabe, AM Rollins
Journal of biomedical optics 12 (3), 030505-030505-3, 2007
1202007
Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods
A Basavanhally, E Yu, J Xu, S Ganesan, M Feldman, J Tomaszewski, ...
Medical imaging 2011: Computer-aided diagnosis 7963, 305-319, 2011
772011
Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX
A Basavanhally, M Feldman, N Shih, C Mies, J Tomaszewski, S Ganesan, ...
Journal of pathology informatics 2 (2), 1, 2012
662012
EM-based segmentation-driven color standardization of digitized histopathology
A Basavanhally, A Madabhushi
Medical Imaging 2013: Digital Pathology 8676, 152-163, 2013
612013
Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging
G Alexe, J Monaco, S Doyle, A Basavanhally, A Reddy, M Seiler, ...
Experimental Biology and Medicine 234 (8), 860-879, 2009
522009
Integrated diagnostics: a conceptual framework with examples
A Madabhushi, S Doyle, G Lee, A Basavanhally, J Monaco, S Masters, ...
Clinical chemistry and laboratory medicine 48 (7), 989-998, 2010
472010
System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis
A Madabhushi, J Monaco, J Tomaszewski, M Feldman, A Basavanhally
US Patent 8,718,340, 2014
452014
Estimation of smooth growth trajectories with controlled acceleration from time series shape data
J Fishbaugh, S Durrleman, G Gerig
International Conference on Medical Image Computing and Computer-Assisted …, 2011
43*2011
Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with oncotype DX assay
A Basavanhally, J Xu, A Madabhushi, S Ganesan
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
412009
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology
J Naik, S Doyle, A Basavanhally, S Ganesan, MD Feldman, ...
Medical Imaging 2009: Computer-Aided Diagnosis 7260, 972-983, 2009
372009
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20