Contact
Links
日本語
HOME
ABOUT
Overview
Message from Director
Organization
Facility
Movie
Life in Kumamoto
STAFF
Director
Vice Director
Distinguished Professors
Tenure-track Associate Professors
Postdoctoral Researchers
International Joint Research Faculty Members
Visiting Professors
Visiting Associate Professors
Host Professors of Visiting Professors
Alumni
Administrative Staff
RESEARCH
Research Clusters
Agreements & MOU
IROAST Research Awards
Research Support Programs
IROAST Researchers
ACHIEVEMENTS
Publications
Patents
Grants
Awards
Achievement Data and Self-evaluation Indices
Brochure & Annual Report
SYMPOSIUM
SYMPOSIUM
SEMINAR
NEWS
HOME
STAFF
U Rajendra ACHARYA
STAFF
Dr. U Rajendra ACHARYA
Professor (Artificial Intelligence in Healthcare),
University of Southern Queensland, Australia
Research Fields
Signal and Image processing and Artificial Intelligence
Website
Website
Website
Achievement
Achievement
Publications
2024
Novel tiny textural motif pattern-based RNA virus protein sequence classification model
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features
2023
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
A
Novel
Attention based
model
for
Semantic Segmentation of Prostate Glands using Histopathological Images
FF-BTP Model for Novel Sound-based Community Emotion Detection
Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network
An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
Automated detection of scaphoid fractures using deep neural networks in radiographs
Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals
2022
Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques
Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review
Automated detection of ADHD: Current trends and future perspective
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Application of Photoplethysmography signals for Healthcare systems: An in-depth review
Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Transfer learning techniques for medical image analysis: A review
2021
A novel machine learning framework for automated detection of arrhythmias in ECG segments
A novel automated autism spectrum disorder detection system
Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images
An automated skin melanoma detection system with melanoma-index based on entropy features
Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science
Efficient deep neural network model for classification of grasp types using sEMG signals
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images
Back
Staff list
STAFF
Shinichiro Sawa
Tetsuya KIDA
Armando T. QUITAIN
Junhua WANG
Yoshihiro SEKINE
Yusuke INOMATA
Jonas Karl N. AGUTAYA
Nobleson KUNJAPPY
Prafulla Bahadur MALLA
Mohammad Atiqur RAHMAN
Reetu Rani
Kei TODA
Tomoyasu MANI
Agus Pulung SASMITO
Tung Thanh TRAN
Dario ZAPPA
Daniel P. ZITTERBART
Mitsuhiro AIDA
U Rajendra ACHARYA
Dmitri Aleks MOLODOV
László PUSZTAI
Yufeng ZHENG
Gaochuang CAI
Masahiko FURUTANI
Hiroki MATSUO
Zhongyue ZHANG
Adam Karl SCHWARTZKOPFF
Takashi ISHIDA
Takumi HIGAKI
Takahiro HOSONO
Kei ISHIDA
Makiko KOBAYASHI
Ruda LEE
Yuta NAKASHIMA
Shin-Ichi OHIRA
Atsushi SAINOKI
Mitsuru SASAKI
Keitaro TAKAHASHI
Suttichai ASSABUMRUNGRAT
Josep-Lluís BARONA-VILAR
Nicorae BARSAN
Jorge Norberto BELTRAMINI
Olivier BOUTIN
Paul BOWEN
Pierre BREUL
Maria Jose COCERO
Patrice DELMAS
Martin DIENWIEBEL
Martino DI SERIO
Derek ELSWORTH
Carolina ESCOBAR
Bruno FAVERY
Etsuko FUJITA
Tomonari FURUKAWA
Jens HARTMANN
Mohammad Abul HASNAT
Yang JU
Hoon KIM
Ick Chan KWON
Wen-Shing LEE
Youn-Woo LEE
Pavel LEJČEK
Dongfang LIANG
Bo LIU
Tao LIU
Reiko ODA
Shie-Ming PENG
Christian RENTENBERGER
Parasuraman SELVAM
Amir SI LARBI
Konstantinos Daniel TSAVDARIDIS
Gioacchino (Cino) VIGGIANI
Thomas WAITZ
Yan XIAO
Zhenghe XU
Kazuki TAKASHIMA
English
日本語
Home
About
Staff
Research
Achievements
Symposium
News
Recruitment
Contact
Links
Sitemap