Anant Madabhushi

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Michael D FeldmanUniversity of PennsylavniaCorreu electrònic verificat a mail.med.upenn.edu
Pallavi TiwariAssistant Professor, Department of Biomedical Engineering, Case Western Reserve UniversityCorreu electrònic verificat a case.edu
Prateek PrasannaAssistant Professor, Stony Brook UniversityCorreu electrònic verificat a stonybrook.edu
Andrew JanowczykCase Western Reserve UniversityCorreu electrònic verificat a case.edu
Satish E. ViswanathCase Western Reserve University, Department of Biomedical EngineeringCorreu electrònic verificat a case.edu
Ajay BasavanhallyCase Western Reserve UniversityCorreu electrònic verificat a case.edu
Vamsidhar Velcheti MD FACP FCCPYale UniversityCorreu electrònic verificat a yale.edu
Kaustav BeraResearch Associate, Case Western Reserve UniversityCorreu electrònic verificat a case.edu
George LeeBristol-Myers SquibbCorreu electrònic verificat a bms.com
Shridar GanesanProfessor of Medicine, Rutgers Cancer Institute of New JerseyCorreu electrònic verificat a cinj.rutgers.edu
Scott DoyleThe University at BuffaloCorreu electrònic verificat a buffalo.edu
Jun XuProfessor, Nanjing University of Information Science & Technology, ChinaCorreu electrònic verificat a case.edu
B. Nicolas BlochProfessor of Radiology & Urology UMass Memorial Medical Center & UMass Medical School • Professor ofCorreu electrònic verificat a umassmemorial.org
Robert TothRutgers UniversityCorreu electrònic verificat a eden.rutgers.edu
Niha Beig, PhDCase Western Reserve UniversityCorreu electrònic verificat a case.edu
Sahirzeeshan AliBiomedical Engineering, Case Western UniversityCorreu electrònic verificat a case.edu
Nathaniel M. BramanResearch Associate, Case Western Reserve UniversityCorreu electrònic verificat a case.edu
Shannon AgnerWashington University School of MedicineCorreu electrònic verificat a wustl.edu
Jonathan ChappelowAccuray, Inc.Correu electrònic verificat a accuray.com
Mirabela RusuAssistant Professor of Radiology at Stanford UniversityCorreu electrònic verificat a stanford.edu

Anant Madabhushi

Case Western Reserve University, Department of Biomedical Engineering

Correu electrònic verificat a case.edu - Pàgina d'inici

computational pathology biomedical image analysis digital pathology data fusion cancer imaging


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	1414	2009
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases A Janowczyk, A Madabhushi Journal of pathology informatics 7, 2016	609	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	539	2015
Image analysis and machine learning in digital pathology: Challenges and opportunities A Madabhushi, G Lee Medical image analysis 33, 170-175, 2016	384	2016
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	364	2003
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	338	2013
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	335	2008
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	332	2015
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	327	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	326	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	324	2016
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	305	2019
A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection AA Cruz-Roa, JEA Ovalle, A Madabhushi, FAG Osorio International Conference on Medical Image Computing and Computer-Assisted …, 2013	300	2013
Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features S Doyle, S Agner, A Madabhushi, M Feldman, J Tomaszewski 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008	293	2008
Automated grading of prostate cancer using architectural and textural image features S Doyle, M Hwang, K Shah, A Madabhushi, M Feldman, J Tomaszeweski 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007	282	2007
Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology AN Basavanhally, S Ganesan, S Agner, JP Monaco, MD Feldman, ... IEEE Transactions on biomedical engineering 57 (3), 642-653, 2009	266	2009
A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies S Doyle, M Feldman, J Tomaszewski, A Madabhushi IEEE transactions on biomedical engineering 59 (5), 1205-1218, 2010	251	2010
Identification of a microRNA panel for clear-cell kidney cancer D Juan, G Alexe, T Antes, H Liu, A Madabhushi, C Delisi, S Ganesan, ... Urology 75 (4), 835-841, 2010	245	2010
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), 1-14, 2017	238	2017
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features H Wang, AC Roa, AN Basavanhally, HL Gilmore, N Shih, M Feldman, ... Journal of Medical Imaging 1 (3), 034003, 2014	237	2014

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