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Applications of Unbiased Stereology & Artificial Intelligence to Biological Tissue
Applications of Unbiased Stereology & Artificial Intelligence to Biological Tissue
Fall 2019 Workshop organised by the 4EU+ Alliance
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Dates: Tuesday, November 26 to Thursday, November 28
Location: Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Czech Republic
Faculty:
Faculty:
Peter R. Mouton, Ph.D.
Visiting Professor (Professor Hospitus), Charles University, Czech RepublicProfessor of Stereology, University of South Florida, Tampa, FL, USAChief Scientific Officer, SRC BiosciencesAuthor of two best-selling stereology textbooks from The Johns Hopkins University Press("Principles and Practices of Unbiased Stereology: An Introduction For Bioscientists" and "Unbiased Stereology: A Concise Guide")Hady A. Phoulady, Ph.D.
Assistant Professor of Computer Sciences & Engineering, California State University, Sacramento, CA, USAStefan Porubsky, M.D., Ph.D.
Professor of Pathology, University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyZbynek Tonar, M.D., Ph.D.
Associate Professor of Histology & Embryology, Charles University, Faculty of Medicine in Pilsen, Czech RepublicYaroslav Kolinko, Ph.D.
Department of Histology & Embryology, Charles University, Faculty of Medicine in Pilsen, Czech RepublicZdenek Svindrych, Ph.D.
Research Associate, Dartmouth College, Hanover, New Hampshire, USACleo-Aron Weis, M.D., MSc.
University Medical Centre Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, GermanyMajor Topics Covered:
Major Topics Covered:
- Theory and practice of unbiased (design-based) stereology as applied to biological tissue
- Applications of machine learning, deep learning and artificial intelligence to biological tissue
- Hands-on exercises for object number & density, region volume, feature length and object volume (load)
- Optimization of data collection for maximum efficiency
- Cross-discipline stereology examples in medicine and basic sciences
- Introduction to manual and automatic (Self-Counting) stereology systems
Peter R. Mouton, Ph.D.
Peter R. Mouton, Ph.D.
Dr. Mouton is a recognized expert in the theory and practice of unbiased stereology as applied to biological tissue. He has directed stereology research and served on the faculty of pathology departments at several U.S. universities and government agencies including the Johns Hopkins University School of Medicine and the National Institutes of Aging. He is an author of 3 textbooks and more than 188 scientific publications with an h-index of 37.
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