P. P. R. Filho

发表

Comparative analysis of segmentation techniques of airways on images of chest computed tomography

P. C. Cortez, Paulo C. Cortez, Pedro P. Rebouças Filho, 2010 .

Deep Learning-Enhanced Internet of Medical Things to Analyze Brain CT Scans of Hemorrhagic Stroke Patients: A New Approach

V. H. C. de Albuquerque, T. Han, Yongzhao Xu, 2021, IEEE Sensors Journal.

A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques

Raylson Silva de Lima, V. Albuquerque, P. P. R. Filho, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches

Md. Rafiul Hassan, Jefferson Silva Almeida, B. C. Torrico, 2022, IEEE Transactions on Intelligent Transportation Systems.

A new approach for the detection of pneumonia in children using CXR images based on an real-time IoT system

Mohammad Mehedi Hassan, Douglas de A. Rodrigues, Roberto F. Ivo, 2021, Journal of Real-Time Image Processing.

New level set approach based on Parzen estimation for stroke segmentation in skull CT images

Victor Hugo C. de Albuquerque, Alan M. Braga, Pedro Pedrosa Rebouças Filho, 2018, Soft Comput..

A novel transfer learning approach for the classification of histological images of colorectal cancer

Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, 2021, The Journal of Supercomputing.

Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images

Mohammad Mehedi Hassan, M. Ali Akber Dewan, Victor Hugo C. de Albuquerque, 2020, Multimedia Systems.

An effective approach for CT lung segmentation using mask region-based convolutional neural networks

Tao Han, Shara S. A. Alves, Pedro Pedrosa Rebouças Filho, 2020, Artif. Intell. Medicine.

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

D. Jude Hemanth, Suresh Chandra Satapathy, Douglas de A. Rodrigues, 2020, Pattern Recognit. Lett..

Internet of Medical Things—Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans

Tao Han, Virgínia Xavier Nunes, Iágson Carlos Lima Silva, 2020, IEEE Access.

Computation Offloading for Vehicular Environments: A Survey

Biplab Sikdar, Victor Hugo C. De Albuquerque, Vinay Chamola, 2020, IEEE Access.

An Approach to Classify Chronic Kidney Diseases using Scintigraphy Images

Francisco H. S. Silva, P. P. R. Filho, P. R. Rebouças Filho, 2019, Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI).

New approach to detect and classify stroke in skull CT images via analysis of brain tissue densities

Pedro Pedrosa Rebouças Filho, Róger M. Sarmento, Gabriel Bandeira Holanda, 2017, Comput. Methods Programs Biomed..

Cascaded Volumetric Fully Convolutional Networks for Whole-Heart and Great Vessel 3D segmentation

Tao Han, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, 2020, Future Gener. Comput. Syst..

A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning

Fernando Trinta, Fernando A. M. Trinta, Paulo Antonio Leal Rego, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Automatic Neuroimage Processing and Analysis in Stroke—A Systematic Review

Róger M. Sarmento, Francisco F. Ximenes Vasconcelos, Pedro P. Rebouças Filho, 2020, IEEE Reviews in Biomedical Engineering.

A new online approach for classification of pumps vibration patterns based on intelligent IoT system

Tao Han, Pedro Pedrosa Rebouças Filho, Qinhua Hu, 2020 .

Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning

Pedro Pedrosa Rebouças Filho, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, 2020, Int. J. Hybrid Intell. Syst..

A novel feature extractor for human action recognition in visual question answering

Victor Hugo C. de Albuquerque, Paulo Antonio Leal Rego, Pedro Pedrosa Rebouças Filho, 2021, Pattern Recognit. Lett..

Pill Image Classification using Machine Learning

Ajalmar R. da Rocha Neto, Francisco Nivando Bezerra, Pedro Pedrosa Rebouças Filho, 2019, 2019 8th Brazilian Conference on Intelligent Systems (BRACIS).

Sex-based approach to estimate human body fat percentage from 2D camera images with deep learning and machine learning

Atslands R. da Rocha, P. P. R. Filho, S. S. Alves, 2023, Measurement.

Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning

Pedro Pedrosa Rebouças Filho, Aldísio Gonçalves Medeiros, Francisco H. S. Silva, 2020, 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS).

Adaptive Level Set with region analysis via Mask R-CNN: A comparison against classical methods

Virgı́nia X. Nunes, Aldı́sio G. Medeiros, Francisco H. S. Silva, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis

Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, Róger M. Sarmento, 2020, Eng. Appl. Artif. Intell..

Internet of Medical Things—Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans

Luís Fabrício De Freitas Souza, T. Han, P. P. R. Filho, 2020, IEEE Access.

Gender-based approach to estimate the human body fat percentage using Machine Learning

Navar Medeiros M. e Nascimento, Pedro Pedrosa Rebouças Filho, Gabriel Bandeira Holanda, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

An Automatic Left Ventricle Segmentation on Echocardiogram Exams via Morphological Geodesic Active Contour with Adaptive External Energy

span, Francisco H. S. Silva, P. P. R. Filho, 2019, Journal of Artificial Intelligence and Systems.

New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images

P. P. R. Filho, L. F. D. F. Souza, A. G. Marques, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Heart Arrhythmia Classification Based on Statistical Moments and Structural Co-occurrence

Victor Hugo C. de Albuquerque, Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, 2019, Circuits, Systems, and Signal Processing.

Evaluation of Heart Disease Diagnosis Approach using ECG Images

Geraldo Luis Bezerra Ramalho, Marcos Aurelio A. Ferreira Junior, Mateus Valentim Gurgel, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

New fully automatic approach for tissue identification in histopathological examinations using transfer learning

V. Albuquerque, Yongzhao Xu, P. P. R. Filho, 2022, IET Image Process..

Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning

R. Sarmento, P. P. R. Filho, I. Silva, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning

Pedro Pedrosa Rebouças Filho, Luís Fabrício de F. Souza, Gabriel Bandeira Holanda, 2019, ISDA.