School of Arts and Sciences, Computer Science

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Data storage equipment Engineering & Materials Science
Semantics Engineering & Materials Science
Experiments Engineering & Materials Science
Communication Engineering & Materials Science
Polynomials Engineering & Materials Science
Costs Engineering & Materials Science
Servers Engineering & Materials Science
Scheduling Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2008 2021

Robots
Robotics
Stochastic models
Simulators
Robotic arms
Kinematics
Biomechanics
Ergonomics
Animation
Virtual reality

Research Output 1971 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., McLeod, K., Young, A., Rhode, K., Pop, M., Zhao, J., Mansi, T. & Sermesant, M. (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 proceedingConference contribution

Computation theory
Left Ventricle
Magnetic Resonance Imaging
Medical Imaging
Medical imaging

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 journalArticle

Network coding
Face recognition
Decoding
Neural networks
Deep learning

Adversarial distillation for efficient recommendation with external knowledge

Chen, X., Zhang, Y., Xu, H., Qin, Z. & Zha, H., Jan 1 2019, In : ACM Transactions on Information Systems. 37, 1, 12.

Research output: Contribution to journalArticle

Recommender systems
Complex networks
Knowledge representation
Knowledge management
Network architecture