ผศ.ทพญ.ดร. วรรณกมล ปัญญารักษ์ (Wannakamon Panyarak)
ผศ.ทพญ.ดร. วรรณกมล ปัญญารักษ์
Wannakamon Panyarak wannakamon.p@cmu.ac.th คณะทันตแพทยศาสตร์ มหาวิทยาลัยเชียงใหม่

ผศ.ทพญ.ดร. วรรณกมล ปัญญารักษ์

Wannakamon Panyarak

ส่วนวิชาการ/ภาควิชาชีววิทยาช่องปากและวิทยาการวินิจฉัยโรคช่องปาก/สาขาวิชารังสีวิทยาช่องปากและแม็กซิลโลเฟเชียล
  • 2569 รองคณบดี
1. Nampim,N., Panyarak,W., Suttapak,W., Wantanajittikul,K., Nirunsittirat,A., Wattanarat,O., Deep learning-based caries lesion classification of primary teeth using bitewing radiographs and its comparison with dental professionals: European Archives of Paediatric Dentistry, 2026
2. Hirata,N., Panyarak,W., Klanliang,K., Charuakkra,A., Wantanajittikul,K., Development of a YOLOv8-based deep learning framework for detection and classification of periapical radiolucencies in dental radiographs using the periapical index: Journal of Associated Medical Sciences, 2026
3. Chaipattanawan,N., Chamart,C., Lertromyanant,C., Guardgasam,N., Intharasing,N., Pithakam,S., Nophachatsathid,B., Panyarak,W., Demirjian’s and Cameriere’s methods for estimating the 18-year legal age threshold using third molar maturity in a Northern Thai population: Scientific Reports, 2026
4. Järnstedt,J., Mehtonen,H., Kangas,J., Ronkainen,K., Mäkelä,J., Nalampang,S., Mahasantipiya,P., Charuakkra,A., Panyarak,W., Naderi,A., Rinta-Kiikka,I., Raisamo,R., Influence of Cone Beam Computed Tomography Radiation Dose on Image Quality and Usability in Virtual Reality and Traditional Computer Interfaces: Applied Sciences (Switzerland), 2026
5. Pornvoranant,T., Panyarak,W., Wantanajittikul,K., Charuakkra,A., Rungsiyakull,P., Chaijareenont,P., A Comparison of Deep Learning vs. Dental Implantologists in Cone-Beam Computed Tomography-Based Bone Quality Classification: Journal of Imaging Informatics in Medicine, 2025
6. Hirata,N., Pudhieng,P., Sena,S., Torn-asa,S., Panyarak,W., Klanliang,K., Wantanajittikul,K., Development of Periapical Index Score Classification System in Periapical Radiographs Using Deep Learning: Journal of Imaging Informatics in Medicine, 2025
7. Suttapak,W., Panyarak,W., Charuakkra,A., Prapayasatok,S., Wantanajittikul,K., Enhancing Dental Caries Classification with Adversarial Training on Bitewing Radiographs: Journal of Imaging Informatics in Medicine, 2025
8. Panyarak,W., Suttapak,W., Mahasantipiya,P., Charuakkra,A., Boonsong,N., Wantanajittikul,K., Iamaroon,A., CrossViT with ECAP: Enhanced deep learning for jaw lesion classification: International Journal of Medical Informatics, 2025
9. Kumngern,P., Panyarak,W., Powcharoen,W., Maxillary canting and anatomical variation relevant to Le Fort I osteotomy: a morphometric study using cone beam computed tomography: Oral and Maxillofacial Surgery, 2025
10. Suttitumrongsawat,C., Panyarak,W., Klibngern,H., Khwanngern,K., Powcharoen,W., The Accuracy of In-house Personalized Surgical Cutting Guide for Segmental Mandibulectomy: A Proof of Concept In Vitro Study: Oral Sciences Reports, 2025
11. Sungkaruk,P., Rungsiyakull,P., Chaijareenont,P., Panyarak,W., Dental Implant Artifacts in MRI: Compatibility and Considerations: Oral Sciences Reports, 2024
12. Thamwatharsaree,N., Panyarak,W., Wantanajittikul,K., Yarach,U., Tachasuttirut,K., Does Articular Disc Position Change Following Mandibular Setback Surgery?: Journal of Oral and Maxillofacial Surgery, 2024
13. Rattanachet,P., Wantanajittikul,K., Panyarak,W., Palee,P., Mahakkanukrauh,P., Age Prediction Using Pixel Value Sum from Radiographic Proximal Femur in a Thai Population: International Journal of Morphology, 2024
14. Bussaban,L., Boonchieng,E., Panyarak,W., Charuakkra,A., Chulamanee,P., Age Group Classification From Dental Panoramic Radiographs Using Deep Learning Techniques: IEEE Access, 2024
15. Panyarak,W., Suttapak,W., Wantanajittikul,K., Charuakkra,A., Prapayasatok,S., Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™ radiographic scoring system: Clinical Oral Investigations, 2023
16. Panyarak,W., Suttapak,W., Wantanajittikul,K., Charuakkra,A., Prapayasatok,S., Correction to: Assessment of YOLOv3 for caries detection in bitewing radiographs based on the ICCMS™ radiographic scoring system (Clinical Oral Investigations, (2022), 27, 4, (1731-1742), 10.1007/s00784-022-04801-6): Clinical Oral Investigations, 2023
17. Panyarak,W., Wantanajittikul,K., Suttapak,W., Charuakkra,A., Prapayasatok,S., Feasibility of deep learning for dental caries classification in bitewing radiographs based on the ICCMS™ radiographic scoring system: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology, 2023
18. Panyarak,W., Wantanajittikul,K., Charuakkra,A., Prapayasatok,S., Suttapak,W., Enhancing Caries Detection in Bitewing Radiographs Using YOLOv7: Journal of Digital Imaging, 2023
19. Rattanachet,P., Wantanajittikul,K., Panyarak,W., Charoenkwan,P., Monum,T., Prasitwattanaseree,S., Palee,P., Mahakkanukrauh,P., A web application for sex and stature estimation from radiographic proximal femur for a Thai population: Legal Medicine, 2023
20. Panyarak,W., Chikui,T., Tokumori,K., Yamashita,Y., Kamitani,T., Togao,O., Kawano,S., Yoshiura,K., A comparison among gamma distribution, intravoxel incoherent motion, and mono-exponential models with turbo spin-echo diffusion-weighted MR imaging in the differential diagnosis of orofacial lesions: Dentomaxillofacial Radiology, 2022
21. พีรยา บุญทวี, Panyarak W, Srisuwan t, มิติใหม่ในการใช้เทคนิคการถ่ายภาพทางการแพทย์ขั้นสูงในงานเอ็นโดดอนติกส์: , 2022
22. Suttapak,W., Panyarak,W., Jira-Apiwattana,D., Wantanajittikul,K., A unfied convolution neural network for dental caries classification: ECTI Transactions on Computer and Information Technology, 2022
23. Kantaputra,P., Guven,Y., Kalayci,T., Özer,P.K., Panyarak,W., Intachai,W., Olsen,B., Carlson,B.M., Praditsap,O., Tongsima,S., Ngamphiw,C., Jatooratthawichot,P., Tucker,A.S., KetudatCairns,J.R., Expanding genotypic and phenotypic spectrums of LTBP3 variants in dental anomalies and short stature syndrome: Clinical Genetics, 2022
24. Kittichai Wantanajittikul, Wannakamon Panyarak, Dauangporn Jira-apiwattana, Wattanapong Suttapak, A unified convolution neural network for dental caries classification: , 2022
25. Panyarak,W., Chikui,T., Tokumori,K., Yamashita,Y., Kamitani,T., Togao,O., Yoshiura,K., Utility of a diffusion kurtosis model in the differential diagnosis of orofacial tumours: Clinical Radiology, 2020
26. Panyarak,W., Chikui,T., Yamashita,Y., Kamitani,T., Yoshiura,K., Image Quality and ADC Assessment in Turbo Spin-Echo and Echo-Planar Diffusion-Weighted MR Imaging of Tumors of the Head and Neck: Academic Radiology, 2019
27. ผศ.ทพญ.ดร. วรรณกมล ปัญญารักษ์, รศ.ทพญ. สั่งสม ประภายสาธก, ผศ.ทพญ.ดร. ปิยะนารถ จาติเกตุ, Quantitative Study of Positioning Errors in Digital Panoramic Radiographs: A Retrospective Study: เชียงใหม่ทันตแพทยสาร, 2016
28. Wannakamon Panyarak, สั่งสม ประภายสาธก, ิปิยะนารถ จาติเกตุ, การศึกษาเชิงปริมาณของข้อผิดพลาดในการจัดตำแหน่งผู้ป่วยในภาพรังสีปริทัศน์ชนิดดิจิทัล: การศึกษาย้อนหลัง: , 2016
29. วรรณกมล ปัญญารักษ์, สั่งสม ประภายสาธก, ปิยะนารถ จาติเกตุ, Quantitative Study of Positioning Errors in Digital Panoramic Radiographs: A Retrospective Study: , 2016