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Aledir Silveira Pereira
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2020 – today
- 2020
- [j10]Danilo Samuel Jodas, Maria Francisca Monteiro da Costa, Tiago A. A. Parreira, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Using a distance map and an active contour model to segment the carotid artery boundary from the lumen contour in proton density weighted magnetic resonance images. Comput. Biol. Medicine 123: 103901 (2020) - [j9]Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images. Neural Comput. Appl. 32(7): 2553-2573 (2020)
2010 – 2019
- 2019
- [j8]Roberta B. Oliveira, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Computational diagnosis of skin lesions from dermoscopic images using combined features. Neural Comput. Appl. 31(10): 6091-6111 (2019) - 2018
- [j7]Roberta B. Oliveira, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. 29(3): 613-636 (2018) - [c8]Diego Renan Bruno, Norian Marranghello, Fernando Santos Osório, Aledir Silveira Pereira:
Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots. IJCNN 2018: 1-8 - 2017
- [j6]Roberta B. Oliveira, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation. Comput. Methods Programs Biomed. 149: 43-53 (2017) - [j5]Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Automatic segmentation of the lumen region in intravascular images of the coronary artery. Medical Image Anal. 40: 60-79 (2017) - 2016
- [j4]Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Lumen segmentation in magnetic resonance images of the carotid artery. Comput. Biol. Medicine 79: 233-242 (2016) - [j3]Roberta B. Oliveira, Mercedes E. Filho, Zhen Ma, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares:
Computational methods for the image segmentation of pigmented skin lesions: A review. Comput. Methods Programs Biomed. 131: 127-141 (2016) - [j2]Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares:
A review of computational methods applied for identification and quantification of atherosclerotic plaques in images. Expert Syst. Appl. 46: 1-14 (2016) - [j1]Roberta B. Oliveira, Norian Marranghello, Aledir Silveira Pereira, João Manuel R. S. Tavares:
A computational approach for detecting pigmented skin lesions in macroscopic images. Expert Syst. Appl. 61: 53-63 (2016) - 2014
- [c7]Toni Amorim, Leandro Tapparo, Norian Marranghello, Alexandre C. R. da Silva, Aledir Silveira Pereira:
A Multiple Intelligences Theory-based 3D Virtual Lab Environment for Digital Systems Teaching. ICCS 2014: 1413-1422 - 2013
- [c6]Danilo S. Jodas, Norian Marranghello, Aledir Silveira Pereira, Rodrigo Capobianco Guido:
Comparing Support Vector Machines and Artificial Neural Networks in the Recognition Of Steering Angle for Driving of Mobile Robots Through Paths in Plantations. ICCS 2013: 240-249 - [c5]Jacqueline Gomes Mertes, Norian Marranghello, Aledir Silveira Pereira:
Real-Time Module for Digital Image Processing Developed on a FPGA. PDeS 2013: 405-410 - 2012
- [c4]Danilo Samuel Jodas, Norian Marranghello, Aledir Silveira Pereira, Rodrigo Capobianco Guido:
Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations. IECON 2012: 1489-1494
2000 – 2009
- 2009
- [c3]Guilherme E. Leite, Norian Marranghello, Aledir Silveira Pereira:
Petri Nets and Autonomous Systems: A Case Study. ETFA 2009: 1-7 - 2008
- [c2]Jacqueline Gomes Mertes, Norian Marranghello, Aledir Silveira Pereira:
Implementation of Filters for Image Pre-processing for Leaf Analyses in Plantations. ICCS (2) 2008: 153-162 - [c1]Tiago A. Docusse, Jullyene R. Furlani, Rodolfo P. Romano, Rodrigo Capobianco Guido, Shi-Huang Chen, Norian Marranghello, Aledir Silveira Pereira:
Microcalcification enhancement and classification on mammograms using the wavelet transform. IJCNN 2008: 3181-3186
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