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
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
Vamsidhar Velcheti MD FACP FCCPYale UniversityGeverifieerd e-mailadres voor yale.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
Ajay BasavanhallyCase Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
George LeeBristol-Myers SquibbGeverifieerd e-mailadres voor bms.com
Shridar GanesanProfessor of Medicine, Rutgers Cancer Institute of New JerseyGeverifieerd e-mailadres voor cinj.rutgers.edu
Scott DoyleThe University at BuffaloGeverifieerd e-mailadres voor buffalo.edu
German CorredorEmory UniversityGeverifieerd e-mailadres voor emory.edu
B. Nicolas BlochProfessor of Radiology & Urology UMass Memorial Medical Center & UMass Medical School • Professor ofGeverifieerd e-mailadres voor umassmemorial.org
Jun XuProfessor, Nanjing University of Information Science & Technology, ChinaGeverifieerd e-mailadres voor case.edu
Cheng LuGuangdong Provincial People's Hospital, Southern Medical UniversityGeverifieerd e-mailadres voor gdph.org.cn
Patrick LeoGenentechGeverifieerd e-mailadres voor gene.com
Robert TothRutgers UniversityGeverifieerd e-mailadres voor eden.rutgers.edu
Mehdi AlilouResearch Assistant Professor, Case Western Reserve UniversityGeverifieerd e-mailadres voor case.edu
Rajat ThawaniAssistant Professor, University of Chicago MedicineGeverifieerd e-mailadres voor bsd.uchicago.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	2060	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	1472	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	1131	2016
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	910	2015
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	821	2019
Image analysis and machine learning in digital pathology: Challenges and opportunities A Madabhushi, G Lee Medical image analysis 33, 170-175, 2016	782	2016
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	651	2014
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	640	2014
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	500	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, 331-359, 2013	486	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	476	2015
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	473	2017
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	465	2013
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	461	2017
Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, dlmia 2018, and 8th international workshop, ml-cds … D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ... Springer, 2018	440	2018
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	431	2021
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	431	2008
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	397	2018
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	389	2003
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	382	2014

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