Projects per year
Fingerprint Dive into the research topics where Dimitri Metaxas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Magnetic resonance imaging
Engineering & Materials Science
Deformable Models
Mathematics
Segmentation
Mathematics
Animation
Engineering & Materials Science
Experiments
Engineering & Materials Science
Cardiac
Mathematics
Image segmentation
Engineering & Materials Science
Image retrieval
Engineering & Materials Science
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
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)
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: 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
3D LV Probabilistic Segmentation in Cardiac MRI Using Generative Adversarial Network
Yang, D., Liu, B., Axel, L. & Metaxas, D., Jan 1 2019, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Li, S., Mansi, T., McLeod, K., Pop, M., Zhao, J., Sermesant, M., Young, A. & Rhode, K. (eds.). Springer Verlag, p. 181-190 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11395 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Left Ventricle
Magnetic Resonance Imaging
Magnetic resonance
Cardiac
Segmentation
A coupled encoder–decoder network for joint face detection and landmark localization
Wang, L., Yu, X., Bourlai, T. & Metaxas, D., Jul 1 2019, In : Image and Vision Computing. 87, p. 37-46 10 p.Research output: Contribution to journal › Article
Face recognition
Experiments
Processing
Attentive neural cell instance segmentation
Yi, J., Wu, P., Jiang, M., Huang, Q., Hoeppner, D. J. & Metaxas, D., Jul 1 2019, In : Medical Image Analysis. 55, p. 228-240 13 p.Research output: Contribution to journal › Article
Cell adhesion
Masks
Impurities
Detectors
Silver Sulfadiazine
1
Citation
(Scopus)
Cartoonish sketch-based face editing in videos using identity deformation transfer
Zhao, L., Han, F., Peng, X., Zhang, X., Kapadia, M., Pavlovic, V. & Metaxas, D., Apr 1 2019, In : Computers and Graphics (Pergamon). 79, p. 58-68 11 p.Research output: Contribution to journal › Article
Refining
Instance segmentation of neural cells
Yi, J., Wu, P., Jiang, M., Hoeppner, D. J. & Metaxas, D., Jan 1 2019, Computer Vision – ECCV 2018 Workshops, Proceedings. Leal-Taixé, L. & Roth, S. (eds.). Springer Verlag, p. 395-402 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11134 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Deconvolution
Brain
Segmentation
Cells
Cell