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AI in Cancer Detection

AI in Cancer Detection

36 faculty research AI in Cancer Detection on GradNova.

M
Adversarial Learning
Biomedical Data Analytics
Deep Learning
Digital Image Understanding
+8
B
Biomedical Engineering
Machine Learning
Neuroscience
Advanced Neural Network Applications
+2
Z
Zeyun Yu

Professor, Computer Science, Professor, Biomedical Engineering, Director, Big Data Analytics and Visualization Lab

Computer Science

University of Wisconsin–Milwaukee

3D Shape Modeling and Analysis
AI in Cancer Detection
Computer Graphics and Visualization Techniques
Image Retrieval and Classification Techniques
+1
S
Artificial Intelligence (image Analysis and Computer Vision)
Visual Computing (image Analysis)
Medical Image Segmentation Techniques
Medical Imaging and Analysis
+3
S
Computer Graphics
Human and Computer Vision
Image Display and Analysis
Medical Imaging
+5
M
Intelligent and Autonomous Systems
AI in Cancer Detection
Maritime Navigation and Safety
Anomaly Detection Techniques and Applications
+2
S
AI in Cancer Detection
Educational Games and Gamification
Innovative Human-Technology Interaction
Online Learning and Analytics
+1
X
Machine Learning
Natural Language Processing
Public Health
Medical Image Segmentation Techniques
+4
H
AI for Healthcare
Computer Vision
Machie Learning
Visualization
+3
N
Cloud Computing
Computer Communications and Networks
Dependable Computing and Networked Systems
High-Performance Computer Architecture and Systems
+3
A
Abdullah-Al-Zubaer Imran

Assistant Professor, Lighthouse Beacon Foundation Faculty Scholar

Computer Science

University of Kentucky

Advanced X-Ray and Ct Imaging
AI in Cancer Detection
COVID-19 Diagnosis Using AI
Medical Imaging Techniques and Applications
+1
V
V. K. Cody Bumgardner, PhD

Associate Professor of Pathology and Laboratory Medicine; Assistant Dean for Artificial Intelligence and Data Science, College of Medicine; Division Chief, Pathology Informatics; Director, IBI Center for Applied AI

Computer Science

University of Kentucky

AI in Cancer Detection
Cell Image Analysis Techniques
Digital Imaging for Blood Diseases
D
AI in Cancer Detection
Brain Tumor Detection and Classification
Medical Image Segmentation Techniques
Modular Robots and Swarm Intelligence
Y
Advanced Neural Network Applications
AI in Cancer Detection
COVID-19 Diagnosis Using AI
Domain Adaptation and Few-Shot Learning
+1
K
Katie Ovens

Assistant Professor; Co-Director, Data Science Program

Computer Science

University of Calgary

AI in Cancer Detection
Bioinformatics and Genomic Networks
Gene Expression and Cancer Classification
Gene Regulatory Network Analysis
+1
F
Advanced Neural Network Applications
AI in Cancer Detection
Remote Sensing in Agriculture
Smart Agriculture and AI
+1
Y
Communications
Computer Architecture
Computer Graphics
Computer Networks
+6
F
Advanced Image and Video Retrieval Techniques
AI in Cancer Detection
Data Management and Algorithms
Data Mining Algorithms and Applications
+6
H
AI in Cancer Detection
Computational Drug Discovery Methods
Machine Learning in Bioinformatics
Machine Learning in Materials Science
+1
J
Bioinformatics
Cancer Imaging
Genomics
Machine Learning
+5
J
Machine Learning
Neural Networks and Deep Learning
AI in Cancer Detection
Advanced Graph Neural Networks
+3
S
Big Data and Data Science
Data Mining
Database Systems
Information Systems
+8
E
Ehsan Adeli

Assistant Professor of Psychiatry & Behavioral Sciences, by courtesy, of Biomedical Data Science, and of Computer Science | Director, Stanford Translational AI (STAI) Lab Stanford University

Computer Science

Stanford University

AI in Cancer Detection
Explainable Artificial Intelligence (xai)
Generative Adversarial Networks and Image Synthesis
Medical Image Segmentation Techniques
+1
G
AI in Cancer Detection
Cutaneous Melanoma Detection and Management
Medical Image Segmentation Techniques
Medical Imaging Techniques and Applications
+1
2
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