2019 WORKSHOP


Metin Gurcan, PhD
Director, Center for Biomedical Informatics
Wake Forest School of Medicine

 


Muhammad Khalid Khan Niazi, PhD
Assistant Professor
Wake Forest School of Medicine


Presenting
Workshop on Deep Learning (Primer for Beginners)

Abstract
Deep learning is a very popular these days because of its recent successes in medical and non-medical applications. In this workshop, we will provide a primer to deep learning and how it could be useful for pathology. The attendees will be able to understand the differences between artificial intelligence, machine learning and deep learning. We will also discuss answers to the question: whether artificial intelligence is going to replace pathologists. 1) Basics of image analysis for pathology 2) Artificial intelligence and deep learning for pathology 3) Demos and discussion 

Objectives

  1. Understand basics of image analysis 
  2. Differentiate between artificial intelligence, machine learning and deep learning 
  3. Appreciate what artificial intelligence and deep learning can contribute to pathology

Biographies
Dr. Metin Gurcan is Director of Center for Biomedical Informatics and Professor of Internal Medicine, Pathology and Biomedical Engineering at Wake Forest School of Medicine and Director of the Clinical Image Analysis Lab. Previously, he was Professor of Biomedical Informatics and Pathology, Director of Division of Clinical and Translational Informatics at the Ohio State University. Dr. Gurcan is the author of over 200 peer-reviewed publications and was awarded three patents. He is the recipient of several awards including the British Foreign and Commonwealth Organization Award, NCI caBIG Embodying the Vision Award, NIH Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA) Award, Children’s Neuroblastoma Cancer Foundation Young Investigator Award, The OSU Cancer Center REAP Award, and Pelotonia Idea Award. He is a Fellow of SPIE and serves on the editorial boards of Journal of Pathology Informatics and Journal of Medical Imaging; organizes the HIMA workshop and co-chairs SPIE Medical Imaging. 

Dr. Niazi is an Assistant Professor of Internal Medicine and Biomedical Informatics at Wake Forest School of Medicine. He earned his PhD in Medical Image Analysis from Uppsala University followed by a postdoctoral training in Imaging Informatics from the Ohio State University. He has relevant expertise in widely differing research areas viz. artificial Intelligence and pathology. His academic and research background spans pathology, molecular biology, clinical medicine, artificial Intelligence, and image analysis. He has an impressive background that shows both a commitment to biomedical informatics and to artificial intelligence research. His diverse background facilitates discovering new knowledge about the phenotypic and genotypic causes of disease. He is currently contributing to several digital pathology projects related to bladder cancer, colorectal cancer, anal dysplasia, neuroendocrine tumor, follicular lymphoma, tuberculosis, pancreatic cancer, prostate cancer, and breast cancer. 


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October 6-8 | Orlando, FL
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