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Anant Madabhushi
Anant Madabhushi
Department of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia Tech
Bestätigte E-Mail-Adresse bei emory.edu
Titel
Zitiert von
Zitiert von
Jahr
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
25872019
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
24212009
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
A Janowczyk, A Madabhushi
Journal of pathology informatics 7 (1), 29, 2016
14832016
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
13292019
Image analysis and machine learning in digital pathology: Challenges and opportunities
A Madabhushi, G Lee
Medical image analysis 33, 170-175, 2016
10442016
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
10272015
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ...
Proceedings of the IEEE 109 (5), 820-838, 2021
9482021
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS …
MJ Cardoso, T Arbel, G Carneiro, T Syeda-Mahmood, JMRS Tavares, ...
Springer, 2017
8862017
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
8702014
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
7592014
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, 1-14, 2017
6152017
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
5662017
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
5662016
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 (1), 331-359, 2013
5512013
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection
AA Cruz-Roa, JE Arevalo Ovalle, A Madabhushi, FA González Osorio
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
5322013
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
5222015
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
K Bera, N Braman, A Gupta, V Velcheti, A Madabhushi
Nature reviews Clinical oncology 19 (2), 132-146, 2022
5062022
Radiomics and radiogenomics in lung cancer: a review for the clinician
R Thawani, M McLane, N Beig, S Ghose, P Prasanna, V Velcheti, ...
Lung cancer 115, 34-41, 2018
4822018
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
4562008
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
4282014
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