Daniel Leite

Myocardial Perfusion Analysis from Adenosine-Induced Stress MDCT

Nuno Bettencourt, João Rocha, Samuel S. Silva, 2011, IbPRIA.

An hybrid feature space from texture information and transfer learning for glaucoma classification

Flávio H. D. Araújo, Andre M. Santana, Maíla de Lima Claro, 2019, J. Vis. Commun. Image Represent..

A Semiautomatic Superpixel Based Approach to Cup-to-Disc Ratio Measurement

Daniel Leite, Elineide Santos, Lurs Santos, 2018, 2018 IEEE Symposium on Computers and Communications (ISCC).

The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012

Aranildo R. Lima, Wei Wang, Brendan McCane, 2012, IJCNN.

Evolving neuro-fuzzy network for real-time high impedance fault detection and classification

Marcio Santana, Daniel Leite, Sergio Silva, 2018, Neural Computing and Applications.

Avaliação de Classificadores como Método de Segmentação de Lesões na Córnea

Rodrigo Veras, Daniel Leite, Francisco Mendes, 2018 .

Incremental value of an integrated adenosine stress-rest MDCT perfusion protocol for detection of obstructive coronary artery disease.

Nuno Bettencourt, Eike Nagel, Daniel Leite, 2011, Journal of cardiovascular computed tomography.