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| 1 |
Artificial neural network model for predicting sex using dental and orthodontic measurements
Sandra Anic-Milosevic, Natasa Medancic, Martina Calusic-Sarac, Jelena Dumancic, Hrvoje Brkic
Korean J Orthod.2023;53(3):194-204. Published online 2023 May 25
DOI: http://dx.doi.org/10.4041/kjod22.250
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| 2 |
Deep learning algorithms for identifying 79 dental implant types
Hyun-Jun Kong, Jin-Yong Yoo, Sang-Ho Eom, Jun-Hyeok Lee
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| 3 |
Accuracy of one-step automated orthodontic diagnosis model using a convolutional neural network and lateral cephalogram images with different qualities obtained from nationwide multi-hospitals
Sunjin Yim, Sungchul Kim, Inhwan Kim, Jae-Woo Park, Jin-Hyoung Cho, Mihee Hong, Kyung-Hwa Kang, Minji Kim, Su-Jung Kim, Yoon-Ji Kim, Young Ho Kim, Sung-Hoon Lim, Sang Jin Sung, Namkug Kim, Seung-Hak Baek
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| 4 |
Perceptron: Basic Principles of Deep Neural Networks
Eung-Hee Kim, Hun-Sung Kim
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| 5 |
Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status
Adnan Muhammad Shah, Xiangbin Yan, Abdul Qayyum
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| 6 |
Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomography-synthesized posteroanterior cephalometric images
Min-Jung Kim, Yi Liu, Song Hee Oh, Hyo-Won Ahn, Seong-Hun Kim, Gerald Nelson
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| 7 |
From Traditional Statistical Methods to Machine and Deep Learning for Prediction Models
Jun Hyeok Lee, Dae Ryong Kang
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| 8 |
Lesion-Based Convolutional Neural Network in Diagnosis of Early Gastric Cancer
Hong Jin Yoon, Jie-Hyun Kim
Clin Endosc.2020;53(2):127-131. Published online 2020 March 30
DOI: http://dx.doi.org/10.5946/ce.2020.046
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| 9 |
Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives
Chang Seok Bang
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| 10 |
Artificial intelligence, machine learning, and deep learning in women’s health nursing
Geum Hee Jeong
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| 11 |
The development of food image detection and recognition model of Korean food for mobile dietary management
Seon-Joo Park, Akmaljon Palvanov, Chang-Ho Lee, Nanoom Jeong, Young-Im Cho, Hae-Jeung Lee
Nutr Res Pract.2019;13(6):521-528. Published online 2019 November 21
DOI: http://dx.doi.org/10.4162/nrp.2019.13.6.521
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| 12 |
Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms
Ilsang Woo, Areum Lee, Seung Chai Jung, Hyunna Lee, Namkug Kim, Se Jin Cho, Donghyun Kim, Jungbin Lee, Leonard Sunwoo, Dong-Wha Kang
Korean J Radiol.2019;20(8):1275-1284. Published online 2019 July 18
DOI: http://dx.doi.org/10.3348/kjr.2018.0615
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| 13 |
Dental age estimation using the pulp-to-tooth ratio in canines by neural networks
Maryam Farhadian, Fatemeh Salemi, Samira Saati, Nika Nafisi
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| 14 |
Artificial Neural Network: Understanding the Basic Concepts without Mathematics
Su-Hyun Han, Ko Woon Kim, SangYun Kim, Young Chul Youn
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| 15 |
Fast Convolutional Method for Automatic Sleep Stage Classification
Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthy
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| 16 |
Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
Hamidreza Maharlou, Sharareh R. Niakan Kalhori, Shahrbanoo Shahbazi, Ramin Ravangard
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| 17 |
Deep Learning for Cancer Screening in Medical Imaging
Jihoon Jeong
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| 18 |
Prediction of Kidney Graft Rejection Using Artificial Neural Network
Leili Tapak, Omid Hamidi, Payam Amini, Jalal Poorolajal
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| 19 |
Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
Woojae Kim, Ku Sang Kim, Rae Woong Park
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| 20 |
Comparison of Predictive Models for the Early Diagnosis of Diabetes
Meysam Jahani, Mahdi Mahdavi
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