Rungsun Rerknimitr

According to our database, Rungsun Rerknimitr authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation.

Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

IEEE Access, 2025

2024

Real-time gastric intestinal metaplasia segmentation using a deep neural network designed for multiple imaging modes on high-resolution images.

Passin Pornvoraphat, Kasenee Tiankanon, Rapat Pittayanon, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

Knowl. Based Syst., 2024

2023

Real-time gastric intestinal metaplasia diagnosis tailored for bias and noisy-labeled data with multiple endoscopic imaging.

Passin Pornvoraphat, Kasenee Tiankanon, Rapat Pittayanon, Phanukorn Sunthornwetchapong, Peerapon Vateekul, Rungsun Rerknimitr

Comput. Biol. Medicine, March, 2023

Real-Time Identification of Malignant Biliary Strictures on Cholangioscopy Images Using Explainable Convolutional Neural Networks With Heatmaps.

Passakron Phuangthongkham, Phonthep Angsuwatcharakon, Santi Kulpatcharapong, Peerapon Vateekul, Rungsun Rerknimitr

IEEE Access, 2023

Artificial Intelligence for Diagnosis of Pancreatic Cystic Lesions in Confocal Laser Endomicroscopy Using Patch-Based Image Segmentation.

Clara Lavita Angelina, Tsung-Chun Lee, Hsiu-Po Wang, Rungsun Rerknimitr, Ming-Lun Han, Pradermchai Kongkam, Hsuan-Ting Chang

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023