Siridech Boonsang

Deep learning approaches for challenging species and gender identification of mosquito vectors.

Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks.

A Deep Learning System for Recognizing and Recovering Contaminated Slider Serial Numbers in Hard Disk Manufacturing Processes.

A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.

Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation.

Influence of alcohol treatments on properties of silk-fibroin-based films for highly optically transparent coating applications.

Evaluation of Micro- and Nano-Bismuth(III) Oxide Coated Fabric for Environmentally Friendly X-Ray Shielding Materials.

Automatic recognition of parasitic products in stool examination using object detection approach.

Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system.