31 āļ.āļ. 2022 āđāļ§āļĨāļē 15:30 âĒ āļāļēāļĢāļĻāļķāļāļĐāļē
ðCheers to more shared successes in the year 2022 ðĨ°
ð Happy New Year 2023
Cheers to more shared successes in the new year!
āļāļĨāļāļēāļāļāļēāļāļāļ§āļēāļĄāļĢāđāļ§āļĄāļĄāļ·āļāļĢāđāļ§āļĄāđāļāđāļāļāļĩāļĄðāđāļāļāļĩ 2565 āļāļĩāđāļāđāļēāļāļĄāļē
MVIT Year 2022
MVIT Year 2022, āļāļĨāļāļēāļāļāļāļāđāļāđāļĄāļ§āļīāļāđāļĨāļ āļāļĩ 2565
22 ð°#Research #Publications
ð17 Journals (11 Q1)
ð5 Conference Papers
14ð#Prestigious #Prizes
ð
6 Awards from The National Research Council of Thailand (NRCT)
ð
1 āļĢāļēāļāļ§āļąāļĨāļāļēāļ āļŠāļģāļāļąāļāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđāļāļēāļĢāļāļĩāļŽāļē āļāļĢāļĄāļāļĨāļĻāļķāļāļĐāļē
ð
2 World's top 2% scientists by Stanford University
ð
4 āļāļĨāļāļēāļāļĨāļīāļāļŠāļīāļāļāļīāđ Copyright ÂĐïļ āļāļĢāļĄāļāļĢāļąāļāļĒāđāļŠāļīāļāļāļēāļāļāļąāļāļāļē
ð
1 PH.D. Scholarship
#MUICTResearch #ICTāļĄāļŦāļīāļāļĨ #āļāļēāļāļ§āļīāļāļąāļĒ #āļĄāļŦāļēāļ§āļīāļāļĒāļēāļĨāļąāļĒāļĄāļŦāļīāļāļĨ #MVITMahidol #ICTMahidol
22 ð°Research Publications
ð17 Journals (10 Q1)
* Encoder-Decoder Network with RMP for Tongue Segmentation, Medical & Biological Engineering & Computing (MBEC) W. Kusakunniran, P. Borwarnginn, S. Karnjanapreechakorn, K. Thongkanchorn, P. Ritthipravat, P. Tuakta, P. Benjapornlert
* Implementation of the PD Telehealth to Improve Health Outcomes in Patients with Continuous Ambulatory Peritoneal Dialysis: A Pilot Study, Siriraj Medical Journal (SMJ), A. Sriyuktasuth, P. Chuengsaman, W. Kusakunniran, A. Khurat, N. Rattana-umpa
* Detecting and Staging Diabetic Retinopathy in Retinal Images using Multi-Branch CNN, Applied Computing and Informatics (ACI), W. Kusakunniran, S. Karnjanapreechakorn, P. Choopong, T. Siriapisith, N. Tesavibul, N. Phasukkijwatana, S. Prakhunhungsit, S. Boonsopon
* A Lightweight Deep Learning Approach to Mouth Segmentation in Color Images, Applied Computing and Informatics (ACI), K. Chotikkakamthorn, P. Ritthipravat, W. Kusakunniran, P. Tuakta, P. Benjapornlert
* Detecting COVID-19 in Chest X-Ray Images, International Journal of Electrical and Computer Engineering (IJECE), W. Kusakunniran, P. Borwarnginn, T. Siriapisith, S. Karnjanapreechakorn, K. Sutassananon, T. Tongdee, P. Saiviroonporn
* Manga Face Detection on Various Drawing Styles using Region Proposals-based CNN, Science & Technology Asia (STA), K. Aukkapinyo, S. Hotta, W. Kusakunniran
* Classification of Chest Radiography from General Radiography using Deep Learning Approach, ICT Express, T. Tongdee, W. Kusakunniran, T. Siriapisith, P. Saiviroonporn, T. Imaromkul, P. Yodprom
* A Retrospective Study of 3D Deep Learning Approach Incorporating Coordinate Information to Improve the Segmentation of Pre- and Post-operative Abdominal Aortic Aneurysm, PeerJ - Computer Science, T. Siriapisith, W. Kusakunniran, P. Haddawy
* Designing a Novel Teaching Platform for AI: A Case Study in a Thai School Context, Journal of Computer Assisted Learning, Z. H. Aung, S. Sanium, C. Songsaksuppachok, W. Kusakunniran, M. Precharattana, S. Chuechote, K. Pongsanon, P. Ritthipravat
* Improving Disentangled Representation Learning for Gait Recognition using Group Supervision, IEEE Transactions on Multimedia, L. Yao, W. Kusakunniran, P. Zhang, Q. Wu, J. Zhang
* Face Recognition under Mask-Wearing based on Residual Inception Networks, Applied Computing and Informatics (ACI), W. Moungsouy, T. Tawanbunjerd, N. Liamsomboon, W. Kusakunniran
* Predicting River Water Height using Deep Learning-based Features, ICT Express, P. Borwarnginn, J. H. Haga, W. Kusakunniran
* Multi-level pooling encoder-decoder convolution neural network for MRI reconstruction, PeerJ - Computer Science, S. Karnjanapreechakorn, W. Kusakunniranâ, T. Siriapisith, P. Saiviroonporn
* Recognizing Gaits across Walking and Running Speeds, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), L. Yao, W. Kusakunniran, Q. Wu, J. Xu, J. Zhang
* Collaborative Feature Learning for Gait Recognition under Cloth Changes, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), L. Yao, W. Kusakunniran, Q. Wu, J. Xu, J. Zhang
* Developing Epidemic Simulator of Rabies in Dogs based on SEIR, Inclination Map and Initial Dog Population, Science & Technology Asia (STA), C. Youngjitikornkun, J. Jiwattanakul, W. Kusakunniran, A. Wiratsudakul, W. Thanapongtharm, K. Leelahapongsathon
* Effects of a Mobile Health Diabetes Self-Management Program on HbA1C, Self-Management, and Patient Satisfaction in Adults with Uncontrolled Type 2 Diabetes: a Randomized Controlled Trial, Journal of Health Research (JHR), C. Riangkam, A. Sriyuktasuth, K. Pongthavornkamol, W. Kusakunniran, A. Sriwijitkamol
ð5 Conference Papers
* Deep Learning based Technique for Classification of Abdominal Aortic Aneurysm (AAA) in CT-Scan Images, IEEE Region 10 Conference (TENCON), Z. Miao, W. Kusakunniran, T. Siriapisith, P. Saiviroonporn
* Anomaly Detection in Red Reflex Images using Deep Learning Approaches, IEEE Region 10 (TENCON), S. Kriangsakdachai, S. Palakvangsa Na Ayudhya, W. Kusakunniran, W. Devakula Na Ayudhya, C. Chantrasagul, R. Manasboonpermpool, T. Surachatkumtonekul, K. Sathianvichitr, P. Sangsre
* Brain Hemorrhage Segmentation in CT Scan Images using Deep Learning based Approach, IEEE Region 10 Conference (TENCON), H. Zhang, W. Kusakunniran, T. Siriapisith, P. Saiviroonporn
* Human Detection and Social Distancing Measurement in a Video, International Joint Conference on Computer Science and Software Engineering (JCSSE), K. Saramas, A. Supratak, B. Yimwadsana, J. Kraisangka, T. Noraset, W. Kusakunniran
* Measurement of Tongue Motion Using Optical Flows on Segmented Areas, International Conference on Knowledge and Smart Technology (KST), W. Kusakunniran, K. Aukkapinyo, P. Borwarnginnn, T. Imaromkul, K. Thongkanchorn, D. Wattanadhirach, S.Mongkolluksamee, R. Thammasudjarit, P. Ritthipravat, P. Tuakta, P. Benjapornlert
14ðPrestigious Prizes
ð
6 Awards from The National Research Council of Thailand (NRCT)
* āļĢāļēāļāļ§āļąāļĨāļāļĨāļāļēāļāļ§āļīāļāļąāļĒ āļĢāļēāļāļ§āļąāļĨāļĢāļ°āļāļąāļāļāļĩ (āļŠāļēāļāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻāđāļĨāļ°āļāļīāđāļāļĻāļĻāļēāļŠāļāļĢāđ) āđāļĢāļ·āđāļāļ âāļāļēāļĢāļāļēāļāļāļēāļĢāļāđāļĢāļ°āļāļąāļāļāđāļģāļāļēāļāļāđāļāļĄāļđāļĨāļ āļēāļāļāļĨāđāļāļāļ§āļāļāļĢāļāļīāļāđāļĨāļ°āļāđāļāļĄāļđāļĨāđāļāļāļāļĩāļāļāļāļāļāļĢāļīāļĄāļēāļāļāđāļģāļāļ āļāđāļģāļāļāļŠāļ°āļŠāļĄ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļđāļāļāđāļģāđāļāđāļĄāđāļāđāļģ āđāļāļ·āđāļāļāļēāļĢāļāļąāļāļāļēāļĢāļ āļąāļĒāļāļīāļāļąāļāļīâ (Water Level Prediction Using Image Data from Surveillance Cameras and History Data of Rainfall,Cumulative Rainfall and River Water Heights for Disaster Management)āļĢāļĻ.āļāļĢ.āļ§āļĢāļāļąāļāļāđ āļāļđāđāļŠāļāļļāļĨāļāļīāļĢāļąāļāļāļĢāđ āđāļĨāļ°āļāļāļ°
* āļĢāļēāļāļ§āļąāļĨāļāļĨāļāļēāļāļ§āļīāļāļąāļĒ āļĢāļēāļāļ§āļąāļĨāļĢāļ°āļāļąāļāļāļĩ (āļŠāļēāļāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻāđāļĨāļ°āļāļīāđāļāļĻāļĻāļēāļŠāļāļĢāđ) āđāļĢāļ·āđāļāļ âāļāļēāļĢāđāļāđāļāļēāļĢāđāļĢāļĩāļĒāļāļĢāļđāđāđāļāļīāļāļĨāļķāļāđāļāļāļŠāļēāļĄāļĄāļīāļāļīāđāļāļāļēāļĢāđāļĒāļāļŠāđāļ§āļāđāļāļĄāļąāļāļ āļēāļĒāđāļāđāļĒāļ·āđāļāļŦāļļāđāļĄāļŦāļąāļ§āđāļāđāļāļ āļēāļāđāļāļāļāđāļĢāļĒāđāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāđāļāļāđāļĨāļ°āļŦāļĨāļąāļāļāļĩāļāļŠāļēāļĢāļāļķāļāļĢāļąāļāļŠāļĩâ (A 3D Deep Learning Approach to Epicardial Fat Segmentation in Non-Contrast and Post-Contrast Cardiac CT Images) āļĻ.āļāļĢ.āļāļ.āļāļāļāļāļąāļĒ āļŠāļīāļĢāļīāļāļ āļīāļŠāļīāļāļāļīāđ āđāļĨāļ°āļāļāļ°
* āļĢāļēāļāļ§āļąāļĨāļāļĢāļ°āļāļīāļĐāļāđāļāļīāļāļāđāļ āļĢāļēāļāļ§āļąāļĨāļĢāļ°āļāļąāļāļāļĩ (āļŠāļēāļāļēāđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻāđāļĨāļ°āļāļīāđāļāļĻāļĻāļēāļŠāļāļĢāđ) āđāļĢāļ·āđāļāļ âāđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāđāļāļāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļŠāļĢāđāļēāļāđāļĄāđāļāļĨāļŠāļēāļĄāļĄāļīāļāļīāļāļāļāđāļāļ·āļāļāļāļĄāļđāļāđāļāļāļāļģāļŦāļāļāđāļāļâ (Interactive Tool for Creating 3D Models of Custom-Made Nasal Splint) āļĢāļĻ.āļāļĢ.āļ§āļĢāļāļąāļāļāđ āļāļđāđāļŠāļāļļāļĨāļāļīāļĢāļąāļāļāļĢāđ āđāļĨāļ°āļāļāļ°
* āļĢāļēāļāļ§āļąāļĨāļāļēāļĢāđāļāļĩāļĒāļāļāđāļāđāļŠāļāļāđāļāļĢāļāļāļēāļĢāļāļ§āļąāļāļāļĢāļĢāļĄāļĢāļ°āļāļąāļāļāļąāļāļāļīāļāļĻāļķāļāļĐāļē āļĢāļ°āļāļąāļāļāļĩ, āļĢāļēāļāļ§āļąāļĨāļāļĨāļāļēāļāļāļ§āļąāļāļāļĢāļĢāļĄāļĢāļ°āļāļąāļāļāļąāļāļāļīāļāļĻāļķāļāļĐāļē āļĢāļ°āļāļąāļāļāļĩ āđāļĨāļ° āļĢāļēāļāļ§āļąāļĨāļāļ§āļąāļāļāļĢāļĢāļĄ āļĢāļ°āļāļąāļāđāļŦāļĢāļĩāļĒāļāļāļāļ âāļŦāļļāđāļāļāļķāļāļāļĩāļāļĒāļēāđāļāđāļēāļāļĨāđāļēāļĄāđāļāļ·āđāļāļāļēāļĢāļāđāļĢāļāđāļāļīāļāļāđāļ§āļĒāļĢāļ°āļāļāļāļīāđāļĨāđāļāļāļĢāļāļāļīāļāļŠāđâ āļāļŠ.āļāļāļīāļāļē āļāļąāļāļāđāļāļĢāļīāļāļĢāļąāļāļāđ āļāļĻ.āļāļĢ.āļĄāļāļāđāļāļĄāļĢ āļāļĢāļĩāļāļēāļĢāļąāļāļāđ āļĢāļĻ.āļāļĢ.āļāļąāļāļĢāļīāļāļāļĢāđ āļāļąāļāļāļāļļāļĢāļĩ āļĢāļĻ.āļāļĢ.āļāļąāļāļĢāļŠāļĩ āļĪāļāļāļīāļāļĢāļ°āļ§āļąāļāļī āļĢāļĻ.āļāļĢ.āļŠāļĄāļŠāļīāļĢāļī āļĢāļļāđāļāļāļĄāļĢāļĢāļąāļāļāđ āļĢāļĻ.āļāļĢ.āļ§āļĢāļāļąāļāļāđ āļāļđāđāļŠāļāļļāļĨāļāļīāļĢāļąāļāļāļĢāđ
ð
1 āļĢāļēāļāļ§āļąāļĨāļāļēāļ āļŠāļģāļāļąāļāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđāļāļēāļĢāļāļĩāļŽāļē āļāļĢāļĄāļāļĨāļĻāļķāļāļĐāļē
* āļĢāļēāļāļ§āļąāļĨāļāļĄāđāļāļĒ āļāļēāļĢāļāļĢāļ°āļāļ§āļāļāļ§āļąāļāļāļĢāļĢāļĄāļāđāļēāļāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđāļāļēāļĢāļāļĩāļŽāļē āļāļĢāļ°āļāļģāļāļĩ āļ.āļĻ.2565 (Sport Science Innovation Contest 2022) âMobile Application for Sport Movement Analysisâ āđāļāļāļāļĢāļīāđāļāļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāđāļāļĨāļ·āđāļāļāđāļŦāļ§āđāļāļīāļāļāļĩāļŽāļē Mr. Poramat Jaratdamrong , Dr. Wat Limroong, Dr. Worapan Kusakunniran
ð
2 āļāļąāļāļāļąāļāļāļēāļ World's top 2% scientists by Stanford University
* The Most-cited Scientists based on Single Year impact List
* The Most-cited Scientists based on The Career-Long data List
ð
4 āļāļĨāļāļēāļāļĨāļīāļāļŠāļīāļāļāļīāđ Copyright ÂĐïļ āļāļĢāļĄāļāļĢāļąāļāļĒāđāļŠāļīāļāļāļēāļāļāļąāļāļāļē
* āđāļāļĢāđāļāļĢāļĄāļāļēāļĢāđāļĒāļāļŠāđāļ§āļāļāļāļāļĨāļīāđāļāđāļāļ āļēāļāļ§āļīāļāļĩāđāļāđāļāļĒāļāļąāļāđāļāļĄāļąāļāļī (āļ§1.009884)
* āđāļāļĢāđāļāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļ§āļąāļāļāļēāļĢāđāļāļĨāļ·āđāļāļāđāļŦāļ§āļāļāļāļĨāļīāđāļāļāđāļ§āļĒāđāļāļāļāļīāļāļāļāļāļāļīāļāļāļĨāđāļāļĨāļ§āđāļāļāļāļ·āđāļāļāļĩāđāđāļāđāļāļŠāđāļ§āļ (āļ§1.009883)
* āđāļāļĢāļ·āđāļāļāļĄāļ·āļāđāļāđāļāļāļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļŠāļĢāđāļēāļāđāļĄāđāļāļĨāļŠāļēāļĄāļĄāļīāļāļīāļāļāļāđāļāļ·āļāļāļāļĄāļđāļāđāļāļāļāļģāļŦāļāļāđāļāļ (āļ§1.009557)
* āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļ§āļąāļāļāļąāļāļĢāļēāļŠāđāļ§āļāļŦāļąāļ§āđāļāđāļĨāļ°āļāļĢāļ§āļāļāļāļāļąāļāđāļāļĄāļąāļāļīāđāļāļĒāļāļĨāđāļāļāļāđāļĢāļĒāđāļāļĢāļ§āļāļāļ āļĨāļīāļāļŠāļīāļāļāļīāđ (āļ§1.009558)
ð
1 PH.D. Scholarship
* MU Ph.D. Scholarship, Mr. Sai Thu Ya Aung
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