Dimitri Metaxas

academic, Rutgers, The State University, SAS - Computer Science

Rutgers, The State University

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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2 Active
16 Finished

CHS: MEDIUM: COLLABORATIVE RESEARCH: SCALABLE INTEGRATION OF DATA-DRIVEN AND MODEL-BASED METHODS FOR LARGE VOCABULARY SIGN RECOGNITION AND SEARCH
Metaxas, D.
National Science Foundation (National Science Foundation (NSF))
8/1/18 → 7/31/21
Rutgers, The State University
Project: Research project
PHASE 1 IUCRC RUTGERS-NEW BRUNSWICK: CENTER FOR ACCELERATED REAL TIME ANALYTICS (CARTA)
Metaxas, D.
National Science Foundation (National Science Foundation (NSF))
6/1/18 → 5/31/23
Rutgers, The State University
Project: Research project
AITF: COLLABORATIVE RESEARCH: TOPOLOGICAL ALGORITHMS FOR 3D/4D CARDIAC IMAGES: UNDERSTANDING COMPLEX AND DYNAMIC STRUCTURES
Metaxas, D.
National Science Foundation (National Science Foundation (NSF))
9/15/17 → 8/31/20
Rutgers, The State University
Project: Research project
CHS: MEDIUM: DATA DRIVEN BIOMECHANICALLY ACCURATE MODELING OF HUMAN GAIT ON UNCONSTRAINED TERRAIN
Metaxas, D.
National Science Foundation (National Science Foundation (NSF))
9/1/17 → 8/31/20
Rutgers, The State University
Project: Research project
EAGER: COLLABORATIVE RESEARCH: DATA VISUALIZATIONS FOR LINGUISTICALLY ANNOTATED, PUBLICLY SHARED, VIDEO CORPORA FOR AMERICAN SIGN LANGUAGE (ASL)
Metaxas, D.
National Science Foundation (National Science Foundation (NSF))
8/1/17 → 7/31/18
Rutgers, The State University
Project: Research project

19477 Citations
71 h-Index
307 Conference contribution
157 Article
53 Conference article
42 Paper
More

Deception Detection in Videos Using Robust Facial Features
Stathopoulos, A., Han, L., Dunbar, N., Burgoon, J. K. & Metaxas, D., 2021, Proceedings of the Future Technologies Conference, FTC 2020, Volume 3. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 668-682 15 p. (Advances in Intelligent Systems and Computing; vol. 1290).
Rutgers, The State University
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Dynamic MRI reconstruction with end-to-end motion-guided network
Huang, Q., Xian, Y., Yang, D., Qu, H., Yi, J., Wu, P. & Metaxas, D. N., Feb 2021, In: Medical Image Analysis. 68, 101901.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review
Few-shot Learning by a Cascaded Framework with Shape-constrained Pseudo Label Assessment for Whole Heart Segmentation
Wang, W., Xia, Q., Hu, Z., Yan, Z., Li, Z., Wu, Y., Huang, N., Gao, Y., Metaxas, D. & Zhang, S., 2021, (Accepted/In press) In: IEEE Transactions on Medical Imaging.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images
Gao, Y., Huang, R., Yang, Y., Zhang, J., Shao, K., Tao, C., Chen, Y., Metaxas, D. N., Li, H. & Chen, M., Jan 2021, In: Medical Image Analysis. 67, 101831.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Greedy auto-augmentation for n-shot learning using deep neural networks
Naghizadeh, A., Metaxas, D. N. & Liu, D., Mar 2021, In: Neural Networks. 135, p. 68-77 10 p.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review