Guido Gerig Seminar - Revision history

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Fix MediaWiki table formatting issue discovered while converting to GitHub Flavored Markdown using pandoc (via https://github.com/outofcontrol/mediawiki-to-gfm)

Spujol: /* Date and Location */

2019-04-28T20:03:45Z

Date and Location

Spujol at 20:02, 28 April 2019

2019-04-28T20:02:56Z

Spujol at 19:59, 28 April 2019

2019-04-28T19:59:18Z

Spujol at 19:58, 28 April 2019

2019-04-28T19:58:06Z

Spujol: Created page with "==Seminar Title== Studies of Neurodevelopment and Neurodegeneration from Longitudinal Imaging: Challenges and Opportunities ==Speaker== Guido GERIG, Professor, NYU Tandon Scho..."

2019-04-28T19:53:52Z

Created page with "==Seminar Title== Studies of Neurodevelopment and Neurodegeneration from Longitudinal Imaging: Challenges and Opportunities ==Speaker== Guido GERIG, Professor, NYU Tandon Scho..."

New page

==Seminar Title==
Studies of Neurodevelopment and Neurodegeneration from Longitudinal Imaging: Challenges and Opportunities
==Speaker==
Guido GERIG, Professor, NYU Tandon School of Engineering, Computer Science and Engineering Department, Brooklyn, NY, USA

==Biography==
Guido Gerig is Department Chair and Institute Professor at the NYU Tandon School of Engineering in the Department of Computer Science and Engineering. He also holds associated/affiliated appointments at NYU Courant CS, NYU Langone Child and Adolescent Psychiatry, Psychiatry and Radiology. Guido Gerig has been named IEEE Fellow (class of 2019) and has also been appointed as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) in 2010. Starting image analysis with applications to satellite imaging, he became increasingly interested in driving problems from medicine, tackled in close multidisciplinary collaboration between medicine, engineering, and statistics. His research supports a number of clinical imaging research studies with novel, innovative image analysis methodologies related to segmentation, registration, atlas building, shape analysis, and image statistics. Driving clinical problems include research in schizophrenia, autism, multiple sclerosis, Huntington's disease, studies of infants at risk for mental illness, and in general analysis of anatomical changes due to disease, therapy and recovery. Gerig's research resulted in various new image analysis methodologies for nonlinear processing, multi-scale segmentation and shape analysis, some of them first and seminal to the field. Applications resulted in new clinical research discoveries such as vulnerability for schizophrenia, early diagnosis of autism based on differences in brain development trajectories, and correlation of shape atrophy with risk status in Huntington's. New tools and methods are developed as open source software and made available to the public, including teaching materials and hands-on training workshops. Guido Gerig was previously USTAR Professor of Computer Science at the University of Utah (2007-2015) establishing the Utah Center for Neuroimage Analysis (UCNIA), Taylor Grandy Professor of Computer Science and Psychiatry at the University of North Carolina at Chapel Hill (1998-2007) launching the UNC Neuro Image Research and Analysis Laboratories (NIRAL), and Assistant Professor at ETH Zurich (1993-1998). Gerig holds several awards from Utah and UNC for Excellence in Teaching.

==Date and Location==
*2-45-3:45 pm, Tuesday, April 23, 2019
*Surgical Planning Laboratory, Second floor conference room, 1249 Boylston St., Boston, MA
*[[image:GuidoGerig_April24_2019.png]]

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← Older revision		Revision as of 20:02, 28 April 2019
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	==Seminar Title==		==Seminar Title==

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 Guido Gerig is Department Chair and Institute Professor at the NYU Tandon School of Engineering in the Department of Computer Science and Engineering. He also holds associated/affiliated appointments at NYU Courant CS, NYU Langone Child and Adolescent Psychiatry, Psychiatry and Radiology. Guido Gerig has been named IEEE Fellow (class of 2019) and has also been appointed as a Fellow of the American Institute for Medical  and  Biological  Engineering (AIMBE) in 2010. Starting image analysis with applications to satellite imaging, he became increasingly interested in driving problems from medicine, tackled in close multidisciplinary collaboration between medicine, engineering, and statistics. His research supports a number of clinical imaging research studies with novel, innovative image analysis methodologies related to segmentation, registration, atlas building, shape analysis, and image statistics. Driving clinical problems include research in schizophrenia, autism, multiple sclerosis, Huntington's disease, studies of infants at risk for mental illness, and in general analysis of anatomical changes due to disease, therapy and recovery. Gerig's research resulted in various new image analysis methodologies for nonlinear processing, multi-scale segmentation and shape analysis, some of them first and seminal to the field. Applications resulted in new clinical research discoveries such as vulnerability for schizophrenia, early diagnosis of autism based on differences in brain development trajectories, and correlation of shape atrophy with risk status in Huntington's. New tools and methods are developed as open source software and made available to the public, including teaching materials and hands-on training workshops. Guido Gerig was previously USTAR Professor of Computer Science at the University of Utah (2007-2015) establishing the Utah Center for Neuroimage Analysis (UCNIA), Taylor Grandy Professor of Computer Science and Psychiatry at the University of North Carolina at Chapel Hill (1998-2007) launching the UNC Neuro Image Research and Analysis Laboratories (NIRAL), and Assistant Professor at ETH Zurich (1993-1998). Gerig holds several awards from Utah and UNC for Excellence in Teaching.
 ==Date and Location==
-*2-45-3:45 pm, Tuesday, April 23, 2019
+*Tuesday, April 23, 2019, 2-45-3:45 pm
 *Surgical Planning Laboratory, Second floor conference room, 1249 Boylston St., Boston, MA
 [[image:GuidoGerig_April23_2019.png|1400px]]

@@ Line 2: / Line 2: @@
 ==Seminar Title==
 Studies of Neurodevelopment and Neurodegeneration from Longitudinal Imaging: Challenges and Opportunities
 ==Speaker==
@@ Line 12: / Line 8: @@
 ==Biography==
 Guido Gerig is Department Chair and Institute Professor at the NYU Tandon School of Engineering in the Department of Computer Science and Engineering. He also holds associated/affiliated appointments at NYU Courant CS, NYU Langone Child and Adolescent Psychiatry, Psychiatry and Radiology. Guido Gerig has been named IEEE Fellow (class of 2019) and has also been appointed as a Fellow of the American Institute for Medical  and  Biological  Engineering (AIMBE) in 2010. Starting image analysis with applications to satellite imaging, he became increasingly interested in driving problems from medicine, tackled in close multidisciplinary collaboration between medicine, engineering, and statistics. His research supports a number of clinical imaging research studies with novel, innovative image analysis methodologies related to segmentation, registration, atlas building, shape analysis, and image statistics. Driving clinical problems include research in schizophrenia, autism, multiple sclerosis, Huntington's disease, studies of infants at risk for mental illness, and in general analysis of anatomical changes due to disease, therapy and recovery. Gerig's research resulted in various new image analysis methodologies for nonlinear processing, multi-scale segmentation and shape analysis, some of them first and seminal to the field. Applications resulted in new clinical research discoveries such as vulnerability for schizophrenia, early diagnosis of autism based on differences in brain development trajectories, and correlation of shape atrophy with risk status in Huntington's. New tools and methods are developed as open source software and made available to the public, including teaching materials and hands-on training workshops. Guido Gerig was previously USTAR Professor of Computer Science at the University of Utah (2007-2015) establishing the Utah Center for Neuroimage Analysis (UCNIA), Taylor Grandy Professor of Computer Science and Psychiatry at the University of North Carolina at Chapel Hill (1998-2007) launching the UNC Neuro Image Research and Analysis Laboratories (NIRAL), and Assistant Professor at ETH Zurich (1993-1998). Gerig holds several awards from Utah and UNC for Excellence in Teaching.
+==Date and Location==
 [[image:GuidoGerig_April23_2019.png|1400px]]