GradNova

Home
Find Faculty
Universities
Research
Home
/
Research
/

Brain Tumor Detection and Classification

Brain Tumor Detection and Classification

12 faculty research Brain Tumor Detection and Classification on GradNova.

D
Autonomous Vehicles
Computer Security
Computer Vision
Data Privacy
+10
S
Bayesian Modeling and Causal Inference
Brain Tumor Detection and Classification
Distributed Sensor Networks and Detection Algorithms
Functional Brain Connectivity Studies
+1
P
Acute Ischemic Stroke Management
Brain Tumor Detection and Classification
Retinal Imaging and Analysis
R
Raj Sunderraman

Computer Science Professor and Associate Chair

Computer Science

Georgia State University

Air Traffic Management and Optimization
Brain Tumor Detection and Classification
Explainable Artificial Intelligence (xai)
Glioma Diagnosis and Treatment
+1
N
Field-Programmable Gate Arrays
Quantum Computing
Reconfigurable Computing
Brain Tumor Detection and Classification
+3
H
Communications
Statistical Signal and Image Processing
Medical Image Segmentation Techniques
Neural Networks and Applications
+3
N
Cloud Computing
Computer Communications and Networks
Dependable Computing and Networked Systems.
High-Performance Computer Architecture and Systems
+3
M
AI for Healthcare
Data Mining
Graph Learning
Machine Learning
+3
R
AI and Machine Learning
Algorithms for Pattern Analysis in Multidimensional Big Data
Computational Biomedicine and Health
Information and Autonomic Systems
+5
M
Brain Tumor Detection and Classification
Glioma Diagnosis and Treatment
Radiomics and Machine Learning in Medical Imaging
G
Golrokh Mirzaei

Associate Professor, Computer Science and Engineering

Computer Science and Engineering

The Ohio State University

Bat Biology and Ecology Studies
Bioinformatics and Genomic Networks
Brain Tumor Detection and Classification
Marine Animal Studies Overview
+1
L
Bioinformatics
Data Mining
Machine Learning
Gene Expression and Cancer Classification
+4