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leyu乐鱼:Anant Madabhushi

发布者:周科亮发布时间:2016-10-24浏览次数:2598

AnantMadabhushi教授,美国凯斯西储大学

研究方向:医学图像分析、生物医学图像分析、数字病理、数据融合及癌症成像


Anant Madabhushi, PhD

Professor, Departments of Biomedical Engineering, Electrical and Computer Engineering, Division of General Medical Sciences, Urology, Radiology, Pathology; Director, Center for Computational Imaging and Personalized Diagnostics

anant.madabhushi@case.edu

216.368.8519 (o)

?Case Western Reserve University

Case School of Engineering

Wickenden, Room 523

2071 Martin Luther King Jr. Drive

Cleveland, OH 44106-7207


Research Summary

Quantitative image analysis

Prognostics

Theragnostics

Magnetic resonance imaging (MRI)

Cancer imaging

Breast cancer

Prostate cancer

Carotid plaque

Digital pathology

The Center of Computational Imaging and Personalized Diagnostics at Case Western Reserve University is involved in various different aspects of developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition, and machine learning tools for disease diagnosis, prognosis, and theragnosis in the context of breast, prostate, head and neck, and brain tumors as well as epilepsy and carotid plaque. Our group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales, modalities, and functionalities—from gene and protein expression to spectroscopy to digital pathology and to multi-parametric MRI.


Honors and Awards

Member, Ohio Department of Higher Education I-Corps@ Ohio Summer Cohort, 2015

Member, Crain's Cleveland Business 'Forty Under 40,' 2015

Associate Member, NCI Quantitative Imaging Network, 2015

Fellow, American Institute for Medical and Biological Engineering, 2015

Innovation Award, Case School of Engineering, 2014

CDMRP New Investigator Award for Lung Cancer, 2014

Conference Chair, Digital Pathology Conference, SPIE Medical Imaging Symposium, 2012-Present

Program Committee Member, MICCAI 2011-2013

Coulter Fellow, Wallace H. Coulter Foundation for Translational Research, 2010

Early Career Award (Phase 2), Wallace H. Coulter Foundation for Translational Research, 2008

Life Sciences Commercialization Award, OCLTT, Rutgers, 2008-09

Society for Imaging Informatics in Medicine (SIIM) Research Award, 2008-09

Senior Member, Institute of Electrical and Electronics Engineers (IEEE) 2009-Present

Associate Editor, BMC Cancer (2010-Present)

Associate Editor, IEEE Transactions on Biomedical Engineering (2009-Present)

Associate Editor (Guest), Medical Physics (2008-Present)

Associate Editor, IEEE Transactions in Biomedical Engineering (Letters) (Oct. 2008)

Technical Advisory Board Member, IEEE EMBS/ISBI, 2010-Present

Organizer, Workshop on Prostate Cancer Imaging, In Conjunction with MICCAI 2010, 2011

Co-Organizer, Workshop on Histopathology Image Analysis, Boston, MA, September 2010

Co-Organizer, Workshop on Histopathology Image Analysis, Columbus, OH, June 2009

Organizer, Tutorial on Histopathology Imaging: Clinical Challenges, Imaging Solutions, MICCAI, 2008, 2011

Tutorial Chair, MICCAI, 2008


Key Publications

Elastic Registration of Multimodal Prostate MRI and Histology via Multi-Attribute Combined Mutual Information,Medical Physics, vol. 38[4], pp. 2005-2018, 2011 (PMID: 21626933 PMCID:PMC3078156).

Computer-Aided Prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data, Special Issue of Computerized Medical Imaging and Graphics on Whole Slide Microscopic Image Processing, vol. 35[7-8], pp. 506-14, 2011 (PMID: 21333490).

Supervised Regularized Canonical Correlation Analysis: Integrating Histologic and Proteomic measurements for predicting Biochemical Failures following Prostate Surgery,BMC Bioinformatics, 12(1):483, [Epub ahead of print], 2011 (PMID: 22182303 PMCID:PMC3267835).

Multimodal Wavelet Embedding Representation for data Combination (MaWERiC): Integrating Magnetic Resonance Imaging and Spectroscopy for Prostate Cancer Detection,NMR in Biomedicine, [Epub ahead of print], (PMID: 21960175), PMCID: PMC3298634.

Multi-Field-of-View Strategy for Image-Based Outcome Prediction of ER+ Breast Cancer Histopathology Using Spatio-Architectural and Vascular Features,Journal of Pathology Informatics, 2:1, 2012, (PMID: 22811953), PMCID: PMC3312707.



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