Projects per year
Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Magnetic resonance imaging
Engineering & Materials Science
Deformable Models
Mathematics
Segmentation
Mathematics
Experiments
Engineering & Materials Science
Animation
Engineering & Materials Science
Heart Ventricles
Medicine & Life Sciences
Image segmentation
Engineering & Materials Science
Cardiac
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2008 2020
Aitf: Collaborative Research: Topological Algorithms For 3D/4D Cardiac Images: Understanding Complex And Dynamic Structures
National Science Foundation (NSF)
9/15/17 → 8/31/20
Project: Research project
Image understanding
Topology
Students
Image analysis
Muscle
Chs: Medium: Data Driven Biomechanically Accurate Modeling Of Human Gait On Unconstrained Terrain
National Science Foundation (NSF)
9/1/17 → 8/31/20
Project: Research project
Kinematics
Biomechanics
Ergonomics
Animation
Virtual reality
Innovative Mri-Based Characterization Of Cardiac Dyssynchrony
National Institutes of Health (NIH)
4/1/15 → 3/31/19
Project: Research project
Cardiac Resynchronization Therapy
Heart Ventricles
Patient Selection
Magnetic Resonance Spectroscopy
Echocardiography
Eager: Collaborative Research: Data Visualizations For Linguistically Annotated, Publicly Shared, Video Corpora For American Sign Language (Asl)
National Science Foundation (NSF)
8/1/17 → 7/31/18
Project: Research project
Data visualization
Linguistics
Computer science
Audition
Interfaces (computer)
Eager: Multi-Modal Human Gait Experimentation And Analysis On Unconstrained Terrains
National Science Foundation (NSF)
9/1/14 → 8/31/15
Project: Research project
Kinematics
Biomedical engineering
Sports
Curricula
Computer science
Research Output 1989 2019
Predicting 3-D lower back joint load in lifting: A deep pose estimation approach
Mehrizi, R., Peng, X., Metaxas, D., Xu, X., Zhang, S. & Li, K., Feb 1 2019, In : IEEE Transactions on Human-Machine Systems. 49, 1, p. 85-94 10 p., 8599065.Research output: Contribution to journal › Article
neural network
Kinetics
Materials handling
Values
Sensors
A computer vision based method for 3D posture estimation of symmetrical lifting
Mehrizi, R., Peng, X., Xu, X., Zhang, S., Metaxas, D. & Li, K., Mar 1 2018, In : Journal of Biomechanics. 69, p. 40-46 7 p.Research output: Contribution to journal › Article
Posture
Computer vision
Kinematics
Biomechanical Phenomena
Joints
CR-GAN: Learning complete representations for multi-view generation
Tian, Y., Peng, X., Zhao, L., Zhang, S. & Metaxas, D., Jan 1 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2018-July. p. 942-948 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Discriminators
Supervised learning
Robotics
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation
Tan, C., Zhao, L., Yan, Z., Li, K., Metaxas, D. & Zhan, Y., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 1221-1224 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Fusion reactions
Learning
Social Adjustment
Femur
Efficiency
Detecting mammographic masses via image retrieval and discriminative learning
Jiang, M., Zhang, S. & Metaxas, D., Jan 1 2018, Intelligent Systems Reference Library. Springer Science and Business Media Deutschland GmbH, p. 111-132 22 p. (Intelligent Systems Reference Library; vol. 140).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Image retrieval
Computer aided diagnosis
learning
Mammography
Labeling
Press/Media
Model-based Large Scale Analytics for Computer Vision and Medical Applications
4/27/17
1 item of media coverage
Press/Media: Press / Media