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Dimitri Metaxas

  • 17719 Citations
  • 69 h-Index
1989 …2020

Research output per year

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Projects

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

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

    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

    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

    Project: Research project

    • BOOK--PAVLOV AND IVAN PETROVITCH

    Metaxas, D. & Mitchell, M.

    National Institutes of Health

    4/26/90 → …

    Project: Research project

    Research Output

    Distributed inexact Newton-type pursuit for non-convex sparse learning

    Liu, B., Yuan, X. T., Wang, L., Liu, Q., Huang, J. & Metaxas, D. N., Jan 1 2020.

    Research output: Contribution to conference › Paper

    • GNM: GridCell navigational model

    Naghizadeh, A., Berenjian, S., Margolis, D. J. & Metaxas, D. N., Jun 15 2020, In : Expert Systems With Applications. 148, 113217.

    Research output: Contribution to journal › Article

    • Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks

    Zhao, L., Peng, X., Tian, Y., Kapadia, M. & Metaxas, D. N., Jan 1 2020, (Accepted/In press) In : International Journal of Computer Vision.

    Research output: Contribution to journal › Article

    • 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

    • A coupled encoder–decoder network for joint face detection and landmark localization

    Wang, L., Yu, X., Bourlai, T. & Metaxas, D. N., Jul 2019, In : Image and Vision Computing. 87, p. 37-46 10 p.

    Research output: Contribution to journal › Article

    • 3 Scopus citations