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Medical Image Segmentation Techniques

Medical Image Segmentation Techniques

62 faculty research Medical Image Segmentation Techniques on GradNova.

T
3D Multiscale Medical Image Analysis
3D Printing
Computational Geometry
Computer Graphics
+9
M
Adversarial Learning
Biomedical Data Analytics
Deep Learning
Digital Image Understanding
+8
S
Steven Zucker

David & Lucile Packard Professor

Computer Science

Yale University

Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Medical Image Segmentation Techniques
Neural Dynamics and Brain Function
+1
M
Clustering and Pattern Recognition
Image Analysis/inspection
Image Compression and Encoding
Image Enhancement
+6
T
3D Shape Modeling and Analysis
Advanced Numerical Analysis Techniques
Computational Geometry and Mesh Generation
Computer Graphics and Visualization Techniques
+1
H
Climate Change and Permafrost
Cryospheric Studies and Observations
Hydrocarbon Exploration and Reservoir Analysis
Landslides and Related Hazards
+1
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
J
Advanced Memory and Neural Computing
Advanced Vision and Imaging
Medical Image Segmentation Techniques
Neural Dynamics and Brain Function
+1
Y
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Digital Image Processing Techniques
Medical Image Segmentation Techniques
+1
S
Artificial Intelligence (image Analysis and Computer Vision)
Visual Computing (image Analysis)
Medical Image Segmentation Techniques
Medical Imaging and Analysis
+3
P
Advanced Image and Video Retrieval Techniques
Dementia and Cognitive Impairment Research
Functional Brain Connectivity Studies
Medical Image Segmentation Techniques
+1
S
Computer Graphics
Human and Computer Vision
Image Display and Analysis
Medical Imaging
+5
P
Functional Brain Connectivity Studies
Medical Image Segmentation Techniques
Natural Language Processing Techniques
Neural Networks and Applications
+1
B
Brain Connectivity
Computational Medicine
Machine Learning
Medical Imaging
+6
X
Advanced Neural Network Applications
Face and Expression Recognition
Medical Image Segmentation Techniques
Sparse and Compressive Sensing Techniques
+1
J
Advanced Image Fusion Techniques
Image and Signal Denoising Methods
Medical Image Segmentation Techniques
Remote-Sensing Image Classification
+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
S
Computational Medicine
Computer Vision
High Performance Scientific Computing Algorithms
Model Order Reduction
+6
R
AI and Machine Learning
Algorithms for Pattern Analysis in Multidimensional Big Data
Computational Biomedicine and Health
Information and Autonomic Systems
+5
B
Badrinath Roysam

Professor of Electrical & Computer Engineering, Joint Professor of Computer Science

Computer Science

University of Houston

Advanced Fluorescence Microscopy Techniques
Cell Image Analysis Techniques
Image Processing Techniques and Applications
Medical Image Segmentation Techniques
+1
V
Cerebrovascular and Carotid Artery Diseases
Coronary Interventions and Diagnostics
Medical Image Segmentation Techniques
Software Reliability and Analysis Research
+1
D
AI in Cancer Detection
Brain Tumor Detection and Classification
Medical Image Segmentation Techniques
Modular Robots and Swarm Intelligence
23
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