Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors
Wiwiek Poedjiastoeti, Siriwan Suebnukarn
Healthc Inform Res. 2018;24(3):236-241.   Published online 2018 Jul 31     DOI: https://doi.org/10.4258/hir.2018.24.3.236
Citations to this article as recorded by Crossref logo
A brief introduction to concepts and applications of artificial intelligence in dental imaging
Ruben Pauwels
Oral Radiology.2021; 37(1): 153.     CrossRef
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
Computers in Biology and Medicine.2021; 128: 104115.     CrossRef
Applications of deep learning in dentistry
Stefano Corbella, Shanmukh Srinivas, Federico Cabitza
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology.2021; 132(2): 225.     CrossRef
Application of artificial intelligence in the dental field: A literature review
Takahiro Kishimoto, Takaharu Goto, Takashi Matsuda, Yuki Iwawaki, Tetsuo Ichikawa
Journal of Prosthodontic Research.2021;[Epub]     CrossRef
Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs
Zijia Liu, Jiannan Liu, Zijie Zhou, Qiaoyu Zhang, Hao Wu, Guangtao Zhai, Jing Han
International Journal of Computer Assisted Radiology and Surgery.2021; 16(3): 415.     CrossRef
Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature
Xi Wang, Bin-bin Li
Frontiers in Genetics.2021;[Epub]     CrossRef
Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs
Münevver Coruh Kılıc, Ibrahim Sevki Bayrakdar, Özer Çelik, Elif Bilgir, Kaan Orhan, Ozan Barıs Aydın, Fatma Akkoca Kaplan, Hande Sağlam, Alper Odabaş, Ahmet Faruk Aslan, Ahmet Berhan Yılmaz
Dentomaxillofacial Radiology.2021; : 20200172.     CrossRef
A deep learning algorithm proposal to automatic pharyngeal airway detection and segmentation on CBCT images
Çağla Sin, Nurullah Akkaya, Seçil Aksoy, Kaan Orhan, Ulaş Öz
Orthodontics & Craniofacial Research.2021;[Epub]     CrossRef
Artificial Intelligence DENTOMO: Opportunities and Prospects for Interpretation of Cone Beam CT in Dentistry
E. A. Solovyh, A. A. Obrubov, I. Arranz, F. Pérez, M. Tejedor
Bulletin of Experimental Biology and Medicine.2021; 170(5): 686.     CrossRef
Deep learning based pectoral muscle segmentation on Mammographic Image Analysis Society (MIAS) mammograms
Young Jae Kim, Eun Young Yoo, Kwang Gi Kim
Precision and Future Medicine.2021; 5(2): 77.     CrossRef
Artificial intelligence in detecting temporomandibular joint osteoarthritis on orthopantomogram
Eunhye Choi, Donghyun Kim, Jeong-Yun Lee, Hee-Kyung Park
Scientific Reports.2021;[Epub]     CrossRef
A deep learning approach for dental implant planning in cone-beam computed tomography images
Sevda Kurt Bayrakdar, Kaan Orhan, Ibrahim Sevki Bayrakdar, Elif Bilgir, Matvey Ezhov, Maxim Gusarev, Eugene Shumilov
BMC Medical Imaging.2021;[Epub]     CrossRef
Machine learning in dental, oral and craniofacial imaging: a review of recent progress
Ruiyang Ren, Haozhe Luo, Chongying Su, Yang Yao, Wen Liao
PeerJ.2021; 9: e11451.     CrossRef
Current applications and development of artificial intelligence for digital dental radiography
Ramadhan Hardani Putra, Chiaki Doi, Nobuhiro Yoda, Eha Renwi Astuti, Keiichi Sasaki
Dentomaxillofacial Radiology.2021; : 20210197.     CrossRef
Clinically applicable artificial intelligence system for dental diagnosis with CBCT
Matvey Ezhov, Maxim Gusarev, Maria Golitsyna, Julian M. Yates, Evgeny Kushnerev, Dania Tamimi, Secil Aksoy, Eugene Shumilov, Alex Sanders, Kaan Orhan
Scientific Reports.2021;[Epub]     CrossRef
Applications of artificial intelligence and machine learning in orthodontics
Saeed N. Asiri, Larry P. Tadlock, Emet Schneiderman, Peter H. Buschang
APOS Trends in Orthodontics.2020; 10: 17.     CrossRef
Numbering and Classification of Panoramic Dental Images Using 6-Layer Convolutional Neural Network
Prerna Singh, Priti Sehgal
Pattern Recognition and Image Analysis.2020; 30(1): 125.     CrossRef
Evaluation of artificial intelligence for detecting periapical pathosis on cone‐beam computed tomography scans
K. Orhan, I. S. Bayrakdar, M. Ezhov, A. Kravtsov, T. Özyürek
International Endodontic Journal.2020; 53(5): 680.     CrossRef
Radiomics and Machine Learning in Oral Healthcare
André Ferreira Leite, Karla de Faria Vasconcelos, Holger Willems, Reinhilde Jacobs
PROTEOMICS – Clinical Applications.2020; 14(3): 1900040.     CrossRef
Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs
Hyunwoo Yang, Eun Jo, Hyung Jun Kim, In-ho Cha, Young-Soo Jung, Woong Nam, Jun-Young Kim, Jin-Kyu Kim, Yoon Hyeon Kim, Tae Gyeong Oh, Sang-Sun Han, Hwiyoung Kim, Dongwook Kim
Journal of Clinical Medicine.2020; 9(6): 1839.     CrossRef
Neural Network Detection and Segmentation of Mental Foramen in Panoramic Imaging
Lazar Kats, Marilena Vered, Sigalit Blumer, Eytan Kats
Journal of Clinical Pediatric Dentistry.2020; 44(3): 168.     CrossRef
Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks
Bhornsawan Thanathornwong, Siriwan Suebnukarn
Imaging Science in Dentistry.2020; 50(2): 169.     CrossRef
Deep Neural Networks for Chronological Age Estimation From OPG Images
Nicolas Vila-Blanco, Maria J. Carreira, Paulina Varas-Quintana, Carlos Balsa-Castro, Inmaculada Tomas
IEEE Transactions on Medical Imaging.2020; 39(7): 2374.     CrossRef
Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network
Odeuk Kwon, Tae-Hoon Yong, Se-Ryong Kang, Jo-Eun Kim, Kyung-Hoe Huh, Min-Suk Heo, Sam-Sun Lee, Soon-Chul Choi, Won-Jin Yi
Dentomaxillofacial Radiology.2020; 49(8): 20200185.     CrossRef
Deep learning neural network for texture feature extraction in oral cancer: enhanced loss function
Bishal Bhandari, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Sami Haddad
Multimedia Tools and Applications.2020; 79(37-38): 27867.     CrossRef
A Comparison of Transfer Learning Performance Versus Health Experts in Disease Diagnosis From Medical Imaging
Hassaan Malik, Muhammad Shoaib Farooq, Adel Khelifi, Adnan Abid, Junaid Nasir Qureshi, Muzammil Hussain
IEEE Access.2020; 8: 139367.     CrossRef
Convolutional Neural Networks for Immediate Surgical Needle Automatic Detection in Craniofacial X-Ray Images
Zhuangzhuang Liang, Qian Liao, Sheng Chen, Qingyu Qian, Lin Zhu, Hui Yang, Haijun Gui
Journal of Craniofacial Surgery.2020; 31(6): 1647.     CrossRef
A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea
Jin-Hyeok Park, Jeong-Heum Baek, Sun Jin Sym, Kang Yoon Lee, Youngho Lee
BMC Medical Informatics and Decision Making.2020;[Epub]     CrossRef
Expert System for Mandibular Condyle Detection and Osteoarthritis Classification in Panoramic Imaging Using R-CNN and CNN
Donghyun Kim, Eunhye Choi, Ho Gul Jeong, Joonho Chang, Sekyoung Youm
Applied Sciences.2020; 10(21): 7464.     CrossRef
Determination Alveolar Bone Loss Using Artificial Intelligence System on Dental Panoramic Radiography
Sevda KURT, Özer ÇELİK, İ̇brahim Şevki BAYRAKDAR, Kaan ORHAN, Elif BİLGİR, Alper ODABAS, Ahmet Faruk ASLAN
Cumhuriyet Dental Journal.2020;[Epub]     CrossRef
Evaluation of artificial intelligence for detecting impacted third molars on cone-beam computed tomography scans
Kaan Orhan, Elif Bilgir, Ibrahim Sevki Bayrakdar, Matvey Ezhov, Maxim Gusarev, Eugene Shumilov
Journal of Stomatology, Oral and Maxillofacial Surgery.2020;[Epub]     CrossRef
The present, past and future of orthodontic research
Peter H. Buschang, Saeed N. Asiri
Seminars in Orthodontics.2019; 25(4): 326.     CrossRef
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U Kale, Siegfried K Wagner, Dun Jack Fu, Alice Bruynseels, Thushika Mahendiran, Gabriella Moraes, Mohith Shamdas, Christoph Kern, Joseph R Ledsam, Martin K Schmid, Konstantinos Balaskas, Eric J Topol, Lucas M Bachmann, Pea
The Lancet Digital Health.2019; 1(6): e271.     CrossRef
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Martina Sollini, Lidija Antunovic, Arturo Chiti, Margarita Kirienko
European Journal of Nuclear Medicine and Molecular Imaging.2019; 46(13): 2656.     CrossRef