Anant Madabhushi

Hivatkozott rá

	Összes	2019 óta
Hivatkozások	41153	29543
h-index	89	74
i10-index	394	303

6000

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4500

20082009201020112012201320142015201620172018201920202021202220232024152 220 333 617 684 792 1151 1101 1507 2008 2432 3032 3770 4940 5932 5827 5901

Nyilvános hozzáférés

Összes megtekintése

394 cikk

46 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

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

Követés

Anant Madabhushi

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

E-mail megerősítve itt: emory.edu

computational pathology biomedical image analysis digital pathology data fusion cancer imaging


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	2384	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	2378	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	1431	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	1256	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	1004	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	855	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	835	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	776	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	754	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	561	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	558	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
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	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	460	2008
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	428	2022
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

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