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Joseph Nathanael Witanto
Joseph Nathanael Witanto
Dongseo University
Verified email at john.petra.ac.id
Title
Cited by
Cited by
Year
Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management
JN Witanto, H Lim, M Atiquzzaman
Future generation computer systems 87, 35-42, 2018
722018
Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment
YS Lee, N Hong, JN Witanto, YR Choi, J Park, P Decazes, F Eude, ...
Clinical Nutrition 40 (8), 5038-5046, 2021
632021
Smart government framework with geo-crowdsourcing and social media analysis
JN Witanto, H Lim, M Atiquzzaman
Future Generation Computer Systems 89, 1-9, 2018
482018
Fully automated MRI segmentation and volumetric measurement of intracranial meningioma using deep learning
H Kang, JN Witanto, K Pratama, D Lee, KS Choi, SH Choi, KM Kim, ...
Journal of Magnetic Resonance Imaging 57 (3), 871-881, 2023
192023
Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV …
JG Nam, JN Witanto, SJ Park, SJ Yoo, JM Goo, SH Yoon
European Radiology 31 (12), 9012-9021, 2021
142021
Deep learning for estimating lung capacity on chest radiographs predicts survival in idiopathic pulmonary fibrosis
H Kim, KN Jin, SJ Yoo, CH Lee, SM Lee, H Hong, JN Witanto, SH Yoon
Radiology 306 (3), e220292, 2022
92022
Software-defined networking application with deep deterministic policy gradient
JN Witanto, H Lim
Proceedings of the 11th International Conference on Computer Modeling and …, 2019
62019
Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs
SJ Yoo, H Kim, JN Witanto, S Inui, JH Yoon, KD Lee, YW Choi, JM Goo, ...
European Journal of Radiology 164, 110858, 2023
32023
Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification
I Yoon, JH Hong, JN Witanto, JJ Yim, N Kwak, JM Goo, SH Yoon
Quantitative Imaging in Medicine and Surgery 13 (2), 747, 2023
22023
Geo-Crowdsourcing and Map-Based Reporting for Smart Government
JN Witanto, H Lim
Proceedings of the Sixth International Conference on Green and Human …, 2019
22019
Development of a deep-learning model for classification of LI-RADS major features by using subtraction images of MRI: a preliminary study
J Park, JS Bae, JM Kim, JN Witanto, SJ Park, JM Lee
Abdominal Radiology 48 (8), 2547-2556, 2023
12023
P13. 02. B Fully automated segmentation and volumetric measurement of intracranial meningioma using deep learning
H Kang, JN Witanto, K Pratama, D Lee, K Choi, S Choi, K Kim, M Kim, ...
Neuro-Oncology 24 (Suppl 2), ii80, 2022
12022
Fully automated segmentation and volumetric measurement of intracranial meningioma using deep learning
H Kang, JN Witanto, K Pratama, D Lee, KS Choi, SH Choi, MS Kim, ...
Cancer Research 84 (6_Supplement), 7387-7387, 2024
2024
Pembuatan Aplikasi Mobile Augmented Reality dengan Scene Recognition Memanfaatkan Convolutional Neural Network
JN Witanto, GS Budhi, L Liliana
Jurnal Infra 5 (1), 102-106, 2017
2017
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