Anant Madabhushi

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Michael D FeldmanIndiana UniversityGeverifieerd e-mailadres voor iu.edu
Kaustav BeraDepartment of Radiology, University Hospitals Cleveland, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Andrew JanowczykEmory UniversityGeverifieerd e-mailadres voor emory.edu
Vamsidhar Velcheti MD FACP FCCPYale UniversityGeverifieerd e-mailadres voor yale.edu
Prateek PrasannaAssistant Professor, Stony Brook UniversityGeverifieerd e-mailadres voor stonybrook.edu
Pallavi TiwariAssociate Professor, Department of Radiology & Biomedical Engineering, UW-MadisonGeverifieerd e-mailadres voor wisc.edu
Pingfu FuCase Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Satish E. ViswanathAssociate Professor, Department of Biomedical Engineering, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
George LeeBristol-Myers SquibbGeverifieerd e-mailadres voor bms.com
Ajay BasavanhallyCase Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
German CorredorEmory UniversityGeverifieerd e-mailadres voor emory.edu
Shridar GanesanProfessor of Medicine, Rutgers Cancer Institute of New JerseyGeverifieerd e-mailadres voor cinj.rutgers.edu
Cheng LuGuangdong Provincial People's Hospital, Southern Medical UniversityGeverifieerd e-mailadres voor gdph.org.cn
Patrick LeoGenentechGeverifieerd e-mailadres voor gene.com
Scott DoyleThe University at BuffaloGeverifieerd e-mailadres voor buffalo.edu
Jun XuProfessor, Nanjing University of Information Science & Technology, ChinaGeverifieerd e-mailadres voor case.edu
B. Nicolas BlochProfessor of Radiology • Fellowship Program Director • Columbia University Medical CenterGeverifieerd e-mailadres voor cumc.columbia.edu
Rakesh ShiradkarAssistant Professor, Indiana UniversityGeverifieerd e-mailadres voor iu.edu
Mehdi AlilouResearch Assistant Professor, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Robert TothRutgers UniversityGeverifieerd e-mailadres voor eden.rutgers.edu

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Anant Madabhushi

Department of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia Tech

Geverifieerd e-mailadres voor emory.edu

computational pathology biomedical image analysis digital pathology data fusion cancer imaging


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	2383	2009
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	2370	2019
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	1430	2016
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	1253	2019
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	1023	2015
Image analysis and machine learning in digital pathology: Challenges and opportunities A Madabhushi, G Lee Medical image analysis 33, 170-175, 2016	1003	2016
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	854	2021
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	834	2014
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	777	2017
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	753	2014
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	597	2017
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	562	2017
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	559	2016
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	540	2013
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	525	2015
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	525	2013
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	473	2018
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	459	2008
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	428	2014
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	425	2022

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