MAESTRO EN CIENCIAS EN INGENIERIA ELECTRONICA CON MENCION EN PROCESAMIENTO DIGITAL DE SEÑALES E IMÁGENES, UNIVERSIDAD NACIONAL DE INGENIERIA
TITULO PROFESIONAL DE INGENIERO DE TELECOMUNICACIONES DOCENTE CONTRATADO - CONTRATADO Tiempo parcial por asignaturas (TPA) Departamento Académico de Ingeniería - Sección Bioingeniería
MERINO, M. S.; SALAZAR, I. F.; LAVARELLO, R. J.(2024). Generative models for ultrasound image reconstruction from single plane-wave simulated data. En 2024 IEEE UFFC Latin America Ultrasonics Symposium (LAUS). IEEE.
SALAZAR, I. F. y LAVARELLO, R. J.(2024). Robustness Assessment of End-to-End Deep Ultrasound Beamformers Using Adversarial Perturbations. En 2024 IEEE UFFC Latin America Ultrasonics Symposium (LAUS). IEEE.
SALAZAR, I. F.(2023). Differentiating nutritional and water statuses in Hass avocado plantations through a temporal analysis of vegetation indices computed from aerial RGB images. Computers and electronics in agriculture. Volumen: 213. (pp. 108248).
SALAZAR, I. F.(2021). A CNN-based algorithm for selecting tree-of-interest images acquired by UAV. En 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT). (pp. 1 - 6). IEEE.
SALAZAR, I. F.(2021). A neural anisotropic view of underspecification in deep learning. En Workshop of Robust and reliable machine learning in the real world at ICLR 2021. (pp. 1 - 11). International Conference on Learning Representations (ICLR).
SALAZAR, I. F.(2021). Automatic Leaf Segmentation from Images Taken Under Uncontrolled Conditions Using Convolutional Neural Networks. En 5th Brazilian Technology Symposium. (pp. 277 - 285). Springer, Cham.
SALAZAR, I. F.(2019). An algorithm for plant disease visual symptom detection in digital images based on superpixels. International Journal on Advanced Science, Engineering and Information Technology. Volumen: 9. (pp. 194 - 203).
