P
Pattanasak Mongkolwat
Researcher at Mahidol University
Publications - 45
Citations - 908
Pattanasak Mongkolwat is an academic researcher from Mahidol University. The author has contributed to research in topics: Annotation & Automatic image annotation. The author has an hindex of 11, co-authored 39 publications receiving 792 citations. Previous affiliations of Pattanasak Mongkolwat include Northwestern University & University of California, Los Angeles.
Papers
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Journal ArticleDOI
MR imaging predictors of molecular profile and survival: Multi-institutional study of the TCGA glioblastoma data set
David A. Gutman,Lee Cooper,Scott N. Hwang,Chad A. Holder,Jing Jing Gao,Tarun D. Aurora,William D. Dunn,Lisa Scarpace,Tom Mikkelsen,Rajan Jain,Max Wintermark,Manal Jilwan,Prashant Raghavan,Erich Huang,Robert J. Clifford,Pattanasak Mongkolwat,Vladimir Kleper,John Freymann,Justin Kirby,Pascal O. Zinn,Pascal O. Zinn,Carlos S. Moreno,Carl Jaffe,Rivkah Colen,Daniel L. Rubin,Joel H. Saltz,Adam E. Flanders,Daniel J. Brat +27 more
TL;DR: This analysis demonstrates a method for consistent image feature annotation capable of reproducibly characterizing brain tumors and shows that radiologists' estimations of macroscopic imaging features can be combined with genetic alterations and gene expression subtypes to provide deeper insight to the underlying biologic properties of GBM subsets.
Journal ArticleDOI
The caBIG™ Annotation and Image Markup Project
TL;DR: The AIM information model, schemas, software libraries, and tools are described so as to prepare researchers and developers for their use of AIM.
Proceedings Article
Medical Imaging on the Semantic Web: Annotation and Image Markup.
TL;DR: An ontology of image annotation and markup is created, specifying the entities and relations necessary to represent the semantics of medical image pixel content, and a toolkit is created to collect the annotations directly from researchers and physicians as they view the images on medical imaging workstations.
Journal ArticleDOI
The Annotation and Image Mark-up project.
TL;DR: The Annotation and Image Mark-up Project is a standardized semantically interoperable information model with storage and communication formats for image annotation and markup.
Journal ArticleDOI
Annotation and Image Markup: Accessing and Interoperating with the Semantic Content in Medical Imaging
TL;DR: The annotation and image markup project makes large distributed collections of medical images in cyberspace and hospital information systems accessible using an information model of image content and ontologies.