Joseph Nathanael Witanto

Author

Seoul National University Hospital ORCID

Also Known As

Joseph N. Witanto, Joseph Nathanael Witanto

Publications

317

Citations

H-Index

Concepts

All Affiliations

Seoul National University Hospital Seoul National University SNUH SMG-SNU Boramae Medical Center University of Oklahoma Dongseo University

About

Joseph Nathanael Witanto is an author at Seoul National University Hospital specializing in engineering, resource optimization, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	132
2	Health Sciences	1	1	28
3	Computer Engineering	1	1	66
4	Political Science	1	1	38
5	Systems Engineering	1	1	66

Joseph Nathanael Witanto

Publications

288

Citations

H-Index

Page 1

	Year	Citations
Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment Yoon Seong Lee, Namki Hong, Joseph Nathanael Witanto, Clinical Nutrition	2021	108
Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management Joseph Nathanael Witanto, Hyotaek Lim, Mohammed Atiquzzaman Future Generation Computer Systems Search OptimizationProvisioning (Technology)EngineeringEnergy ManagementEdge Computing	2018	66
Smart government framework with geo-crowdsourcing and social media analysis Joseph Nathanael Witanto, Hyotaek Lim, Mohammed Atiquzzaman Future Generation Computer Systems Computational Social SciencePublic PolicyEngineeringSmart CitySocial Computing	2018	38
Fully Automated <scp>MRI</scp> Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning Ho Kang, Joseph Nathanael Witanto, Kevin Pratama, Journal of Magnetic Resonance Imaging	2022	35
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps Ju Gang Nam, Joseph Nathanael Witanto, Sang Joon Park, European Radiology Computed TomographyImage AnalysisEngineeringDeep LearningMedical Imaging	2021	28
Deep Learning for Estimating Lung Capacity on Chest Radiographs Predicts Survival in Idiopathic Pulmonary Fibrosis Hyungjin Kim, Kwang Nam Jin, Seung-Jin Yoo, Radiology	2022	13

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