RAMKRISHNA BHARATH (RAMKRISHNA BHARATH) - マイポータル

基本情報

J-GLOBAL ID: 201901007648092520
researchmap会員ID: 7000030424

外部リンク: http://www.fukaolab.org/

研究キーワード

Machine Learning, Computer Vision, Image Processing, Medical Image Analysis

研究分野

経歴

2018年2月 - 2019年2月

Project Officer

学歴

- 2018年8月

Indian Institute of Technology Hyderabad
- 2012年10月

Jawaharlal Nehru Technological University Anantapur
- 2008年5月

Jawaharlal Nehru Technological University Hyderabad

論文

Multi-modal Framework for Automatic Detection of Diagnostically Important Regions in Nonalcoholic Fatty Liver Ultrasonic Images

R. Bharath, P Rajalakshmi, Abdul Mateen Mohammad

Elsevier Biocybernetics and Biomedical Engineering 38(3) 586-601 2018年
Automated Quantification of Ultrasonic Fatty Liver Texture based on Curvelet Transform and SVD

R. Bharath, Pradeep, Kumar Mishra, P Rajalakshmi

Elsevier Biocybernetics and Biomedical Engineering 38(1) 189-197 2018年
Computer Aided Abnormality Detection for Kidney on FPGA based IoT Enabled Portable Ultrasound Imaging System

K. Divya Krishna, Vivek Akkala, R. Bharath, P. Rajalakshmi, Mohammed Abdul Mateen, S. N. Merchant, U. B. Desai

Elsevier Innovation in Research and Biomedical Engineering 37(4) 189-197 2016年5月
FPGA based Portable Ultrasound Scanning System with Automatic Kidney detection

R. Bharath, Punit Kumar, Chandrashekar Dusa, Vivek Akkala, Suresh Puli, Harsha Ponduri, K.Divya Krishna, P. Rajalakshmi, S. N. Merchant, Mohammed Abdul Mateen …

Journal of Imaging 1(1) 193-219 2015年

講演・口頭発表等

Compact and Programmable Ultrasound Front-end Processing Module for Research Activities

In Engineering in Medicine and Biology Society (EMBC) 2018年
Classification of Nonalcoholic Fatty Liver Texture Using Convolution Neural Networks

IEEE Healthcom 2018年
A Novel Computer-Aided Diagnosis Framework Using Deep Learning for Classification of Fatty Liver Disease in Ultrasound Images

IEEE Healthcom 2018年
WebRTC based invariant scattering convolution network for automated validation of ultrasonic videos for IoT enabled tele-sonography

IEEE World Forum IoT 2018年
Deep scattering convolution network based features for ultrasonic fatty liver tissue characterization

IEEE EMBC 2017年
Smartphone based automatic organ validation in ultrasound video

IEEE EMBC 2017年
Subjective Liver Ultrasound Video Quality Assessment of Internet based Videophone Services for Real-Time Telesonography

IEEE Healthcom 2017年
Compressive Sensing Ultrasound Beamformed Imaging In Time and Frequency Domain

IEEE Healthcom 2017年
Nonlocal Means Kernel Regression Based Despeckling of Bmode Ultrasound Images

IEEE Healthcom 2016年
Smartphone Based Automatic Abnormality Detection of Kidney in Ultrasound Images

IEEE Healthcom 2016年
Novel Architecture for Wireless Transducer Based Ultrasound Imaging System

IEEE EMBS Conference on Biomedical Engineering and Sciences 2016年
Implementation of Diagnostically Driven Compression Algorithms Via WebRTC for IoT Enabled Tele-sonography

EEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2016年
Multi-level classification : A generic classification method for medical datasets

IEEE Healthcom 2015年
Portable Ultrasound Scanner for Remote Diagnosis

IEEE Healthcom 2015年
FPGA based preliminary CAD for Kidney on IoT enabled Portable Ultrasound Imaging System

IEEE Healthcom 2014年
FPGA based Implementation of Low Complex Adaptive Speckle Suppression Filter for B-mode Ultrasound images

IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2014年
Compression techniques for IOT enabled handheld ultrasound imaging system

IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2014年
Fast Region of Interest detection for fetal genital organs in Bmode ultrasound images

Bio signals and Bio robotics Conference: Bio signals and Robotics for Better and Safer Living (BRC), 2014年
Automatic Organ Validation of B-mode Ultrasound Images to Cloud

Advances in Computing, Communications and Informatics 2014年