Anant Madabhushi
Title
Cited by
Cited by
Year
Histopathological image analysis: A review
MN Gurcan, LE Boucheron, A Can, A Madabhushi, NM Rajpoot, B Yener
IEEE reviews in biomedical engineering 2, 147-171, 2009
15502009
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
A Janowczyk, A Madabhushi
Journal of pathology informatics 7, 2016
7412016
Stacked sparse autoencoder (SSAE) for nuclei detection on breast cancer histopathology images
J Xu, L Xiang, Q Liu, H Gilmore, J Wu, J Tang, A Madabhushi
IEEE transactions on medical imaging 35 (1), 119-130, 2015
6392015
Applications of machine learning in drug discovery and development
J Vamathevan, D Clark, P Czodrowski, I Dunham, E Ferran, G Lee, B Li, ...
Nature Reviews Drug Discovery 18 (6), 463-477, 2019
5402019
Image analysis and machine learning in digital pathology: Challenges and opportunities
A Madabhushi, G Lee
Medical image analysis 33, 170-175, 2016
4752016
Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge
G Litjens, R Toth, W van de Ven, C Hoeks, S Kerkstra, B van Ginneken, ...
Medical image analysis 18 (2), 359-373, 2014
4062014
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
3932014
Assessment of algorithms for mitosis detection in breast cancer histopathology images
M Veta, PJ Van Diest, SM Willems, H Wang, A Madabhushi, A Cruz-Roa, ...
Medical image analysis 20 (1), 237-248, 2015
3762015
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
A Madabhushi, DN Metaxas
IEEE transactions on medical imaging 22 (2), 155-169, 2003
3752003
A deep convolutional neural network for segmenting and classifying epithelial and stromal regions in histopathological images
J Xu, X Luo, G Wang, H Gilmore, A Madabhushi
Neurocomputing 191, 214-223, 2016
3732016
Digital imaging in pathology: whole-slide imaging and beyond
F Ghaznavi, A Evans, A Madabhushi, M Feldman
Annual Review of Pathology: Mechanisms of Disease 8, 331-359, 2013
3712013
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
S Naik, S Doyle, S Agner, A Madabhushi, M Feldman, J Tomaszewski
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
3622008
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection
AA Cruz-Roa, JEA Ovalle, A Madabhushi, FAG Osorio
International Conference on Medical Image Computing and Computer-Assisted …, 2013
3462013
Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features
S Doyle, S Agner, A Madabhushi, M Feldman, J Tomaszewski
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
3092008
Automated grading of prostate cancer using architectural and textural image features
S Doyle, M Hwang, K Shah, A Madabhushi, M Feldman, J Tomaszeweski
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007
2962007
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), 1-14, 2017
2862017
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
2822009
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
NM Braman, M Etesami, P Prasanna, C Dubchuk, H Gilmore, P Tiwari, ...
Breast Cancer Research 19 (1), 1-14, 2017
2792017
A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies
S Doyle, M Feldman, J Tomaszewski, A Madabhushi
IEEE transactions on biomedical engineering 59 (5), 1205-1218, 2010
2692010
Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology
K Bera, KA Schalper, DL Rimm, V Velcheti, A Madabhushi
Nature reviews Clinical oncology 16 (11), 703-715, 2019
2672019
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