Subramaniam Ganesan

Professor

Oakland University

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Subramaniam Ganesan is a Professor at Oakland University, USA. His research areas include underwater object detection, Alzheimer's disease early detection, cancer detection through deep learning, and heart disease prediction using artificial intelligence and Internet of Medical Things (IoMT). He has contributed to various publications addressing emerging challenges in medical signal processing and risk analysis in process industries.

Articles (12)

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Narmatha C

SAUDI ARABIA

View details

Naveen Chilamkurti

La Trobe University - Bendigo Campus

AUSTRALIA

View details

Saad Almutairi

SAUDI ARABIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Subramaniam Ganesan

Research Interests

Explore related searches

Contact this professor

About

Articles (12)

HLASwin-T-ACoat-Net Based Underwater Object Detection

An Efficient USE-Net Deep Learning Model for Cancer Detection

Severity Grading and Early Detection of Alzheimer’s Disease through Transfer Learning

A Context-Aware MRIPPER Algorithm for Heart Disease Prediction

Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence

Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence

A Special Section on Emerging Challenges and Impacts of Computational Intelligence in Medical Signal Processing Applications

Geometric-Pixel Guided Single-Pass Convolution Neural Network With Graph Cut for Image Dehazing

Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network

Fuzzy methodology application for risk analysis of mechanical system in process industry

Review of advanced computational approaches on multiple sclerosis segmentation and classification

Special issue on "Big Data Analytics and Deep Learning for E-Business Outcomes"

Collaborators (3)

Narmatha C

Naveen Chilamkurti

Saad Almutairi

Make your next move.