Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Thanatkij Srichok

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Journal of Imaging|February 26, 2026
Neuro-Geometric Graph Transformers with Differentiable Radiographic Geometry for Spinal X-Ray Image AnalysisVuth Kaveevorayan, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Waste Management (New York, N.Y.)|October 28, 2025
Advancing biomedical waste classification through a hybrid ensemble of deep Learning, reinforcement Learning, and differential evolution algorithmsSurajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Artificial Intelligence in Medicine|December 4, 2025
QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imagingChutchai Kaewta, Rapeepan Pitakaso, Surajet Khonjun, et al.
Waste Management (New York, N.Y.)|May 12, 2024
Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classificationRapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, et al.
Frontiers in Medicine|July 13, 2023
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classificationKanchana Sethanan, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Pharmaceuticals (Basel, Switzerland)|January 21, 2023
Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based SystemChutinun Prasitpuriprecha, Sirima Suvarnakuta Jantama, Thanawadee Preeprem, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response ClassificationChutinun Prasitpuriprecha, Rapeepan Pitakaso, Sarayut Gonwirat, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Imaging|February 26, 2026
Neuro-Geometric Graph Transformers with Differentiable Radiographic Geometry for Spinal X-Ray Image AnalysisVuth Kaveevorayan, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Waste Management (New York, N.Y.)|October 28, 2025
Advancing biomedical waste classification through a hybrid ensemble of deep Learning, reinforcement Learning, and differential evolution algorithmsSurajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Artificial Intelligence in Medicine|December 4, 2025
QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imagingChutchai Kaewta, Rapeepan Pitakaso, Surajet Khonjun, et al.
Waste Management (New York, N.Y.)|May 12, 2024
Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classificationRapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, et al.
Frontiers in Medicine|July 13, 2023
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classificationKanchana Sethanan, Rapeepan Pitakaso, Thanatkij Srichok, et al.
Pharmaceuticals (Basel, Switzerland)|January 21, 2023
Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based SystemChutinun Prasitpuriprecha, Sirima Suvarnakuta Jantama, Thanawadee Preeprem, et al.
Diagnostics (Basel, Switzerland)|December 23, 2022
Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response ClassificationChutinun Prasitpuriprecha, Rapeepan Pitakaso, Sarayut Gonwirat, et al.
Pageof 1