Anant Madabhushi

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

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Anant Madabhushi

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

Adresă de e-mail confirmată pe emory.edu

computational pathology biomedical image analysis digital pathology data fusion cancer imaging


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	2374	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	2353	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	1422	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	1240	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	1022	2015
Image analysis and machine learning in digital pathology: Challenges and opportunities A Madabhushi, G Lee Medical image analysis 33, 170-175, 2016	995	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	842	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	828	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	774	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	750	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	594	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	558	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	557	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	539	2013
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
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	524	2015
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	472	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	458	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	429	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	420	2022

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