ดร.ปณิธิ อัจฉราฤทธิ์

Computer Engineering, Tokyo Institute of Technology

Information and Communication Engineering, Tokyo Institute of Technology

Information and Communication Engineering, Tokyo Institute of Technology

Optimizing Input Resolution for Efficient AI-Powered Renal Stone Detection in Resource-Constrained Environments

Sensor-Aware Feature Pruning for Cost-Effective Hand Gesture Recognition in Multi-IMU Wearable Systems

DEEP LEARNING-BASED OSTEOPOROSIS SCREENING: LEVERAGING CONVOLUTIONAL NEURAL NETWORKS FOR HIP X-RAY ANALYSIS

A novel approach for automated renal stone detection from kub radiographs in thai populationNA

Attention-Based Color Spatial Relationship Matrix for Optimizing Deep Learning Performance in Histopathology Image Grayscale Conversion

Classification of Colorectal Polyps from Narrow-Band Imaging Using Deep Learning

COMPARATIVE ANALYSIS OF DUAL AND SINGLE CNN MODELS FOR THE CLASSIFICATION OF OSTEOPOROSIS, OSTEOPENIA, AND NORMAL BONE CONDITIONS

COMPARATIVE PERFORMANCE OF CNN MODELS IN DETECTING FRACTURES IN X-RAY IMAGES

REFINING OSTEOPOROSIS RISK PREDICTION VIA ENSEMBLE FEATURE SELECTION

Comparison of CNN-and Transformer-based Architectures for Automated Oral Epithelium Segmentation on Whole Slide Images

Histopathologic Image Classification of Benign Fibro-Osseous Lesions of the Jaws Using Deep Convolutional Neural Network

Quantitative analysis of the 2D tissue skin layer with fluorescent dyes

KidneyX: AI powered system for comprehensive urinary tract stone detection on KUB radiographs for medical care

CRA WoundCare: AI-Powered Web Application for Pressure Ulcer Diagnosis and Treatment Guidance

Athlete Lab Card: A smart card for athletes that measures C-Reactive Protein (CRP) to generate AI personalized recovery plans

Speaker at SCI POWER FOR FUTURE THAILAND

Research Grant Automated Application Creation Platform: Transforming Deep Learning Models into Al-Enabled Applications for Smart Al Devices

Application for Breast Cancer Screening Using Neural Network Architecture Search to Effectively Address Telemedicine Challenges in Resource-Limited Settings

Automated deep neural network modeling platform for the development of medical artificial intelligence systems

EyLighner: Advanced AI Imaging for Precision Pre and Post-Operative Eyelid Assessment

CRA CellQuant: Fluorescent Stained Tissue Image Analysis system for Cell Localization and Counting using Artificial Intelligence Technology in Medical Applications