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Medical Image Segmentation Techniques

Medical Image Segmentation Techniques

134 faculty research Medical Image Segmentation Techniques on GradNova.

D
Davi Geiger

Associate Professor of Computer Science and Neural Science

Computer Science

New York University

Computer Vision and Learning
Group and Quantum Methods
Medical Image Segmentation Techniques
Advanced Vision and Imaging
+3
P
3D Printing in Biomedical Research
Cancer Cells and Metastasis
EEG and Brain-Computer Interfaces
Functional Brain Connectivity Studies
+1
J
Digital Image Processing Techniques
Gene Regulatory Network Analysis
Image and Signal Denoising Methods
Image Retrieval and Classification Techniques
+1
G
Gady Agam

Associate Professor of Computer Science

Computer Science

Illinois Institute of Technology

Advanced Vision and Imaging
Handwritten Text Recognition Techniques
Image Processing and 3D Reconstruction
Image Retrieval and Classification Techniques
+1
D
Dong Hye Ye

Computer Science Assistant Professor

Computer Science

Georgia State University

Advanced X-Ray and Ct Imaging
AI in Cancer Detection
Functional Brain Connectivity Studies
Medical Image Segmentation Techniques
+1
A
3D Shape Modeling and Analysis
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Image and Object Detection Techniques
+1
E
Computer Vision
Image Analysis
Pattern Recognition
Advanced Vision and Imaging
+4
R
Advanced Image and Video Retrieval Techniques
Advanced Neural Network Applications
Advanced Vision and Imaging
Image Retrieval and Classification Techniques
+1
M
Mert Sabuncu

Associate Dean for Research at Cornell Tech Andrew H. and Ann R. Tisch Professor

School of Electrical and Computer Engineering

Cornell University

Advanced MRI Techniques and Applications
Advanced Neuroimaging Techniques and Applications
Functional Brain Connectivity Studies
Medical Image Segmentation Techniques
+1
S
Anatomy and Medical Technology
Augmented Reality Applications
Medical Image Segmentation Techniques
Robotics and Sensor-Based Localization
+1
J
Advanced Neural Network Applications
AI in Cancer Detection
Domain Adaptation and Few-Shot Learning
Medical Image Segmentation Techniques
+1
C
Advanced Neural Network Applications
Advanced Neuroimaging Techniques and Applications
AI in Cancer Detection
Domain Adaptation and Few-Shot Learning
+1
K
AI in Cancer Detection
COVID-19 Diagnosis Using AI
Generative Adversarial Networks and Image Synthesis
Machine Learning in Healthcare
+1
H
Communications
Statistical Signal and Image Processing
Medical Image Segmentation Techniques
Neural Networks and Applications
+3
T
3D Multiscale Medical Image Analysis
3D Printing
Computational Geometry
Computer Graphics
+9
M
AI in Cancer Detection
Medical Image Segmentation Techniques
Nuclear Materials and Properties
Nuclear Reactor Physics and Engineering
+1
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 Techniques in Scientific Computing and Computer Graphics Simulation of Physical Phenomena
Machine Learning and Neural Network Model for Computational Finance Such as Option Pricing and Hedging
Medical Image Processing: Ct Scan Image Enhancement, Tracking of Cell Images, Image Restoration, Segmentation, Registration
Stochastic Processes and Financial Applications
+4
J
Biologically-Inspired Neural Learning Algorithms
Neural Networks and Artificial Intelligence
Neuroscience, and the Use of Neural Networks to Understand the Computational Principles of the Brain
Medical Image Segmentation Techniques
+4
Y
Computer Vision, Image Segmentation, Stereo, Reconstruction, Bio-Medical Image Analysis
Optimization
Semi-Supervised, Weakly Supervised, Self-Supervised, and Unsupervised Learning, Regularization
Medical Image Segmentation Techniques
+4
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