OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Classification of breast and colorectal tumors based on percolation of color normalized images
Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Alessandro S. Martins, et al.
Computers & Graphics (2019) Vol. 84, pp. 134-143
Closed Access | Times Cited: 24
Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, Alessandro S. Martins, et al.
Computers & Graphics (2019) Vol. 84, pp. 134-143
Closed Access | Times Cited: 24
Showing 24 citing articles:
The classification of gliomas based on a Pyramid dilated convolution resnet model
Zhenyu Lu, Yanzhong Bai, Yi Chen, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 173-179
Closed Access | Times Cited: 95
Zhenyu Lu, Yanzhong Bai, Yi Chen, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 173-179
Closed Access | Times Cited: 95
A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images
Manju Dabass, Sharda Vashisth, Rekha Vig
Computers in Biology and Medicine (2022) Vol. 147, pp. 105680-105680
Closed Access | Times Cited: 41
Manju Dabass, Sharda Vashisth, Rekha Vig
Computers in Biology and Medicine (2022) Vol. 147, pp. 105680-105680
Closed Access | Times Cited: 41
A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images
Manju Dabass, Jyoti Dabass, Sharda Vashisth, et al.
Intelligence-Based Medicine (2023) Vol. 7, pp. 100094-100094
Open Access | Times Cited: 21
Manju Dabass, Jyoti Dabass, Sharda Vashisth, et al.
Intelligence-Based Medicine (2023) Vol. 7, pp. 100094-100094
Open Access | Times Cited: 21
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 13
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 13
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, et al.
Expert Systems with Applications (2020) Vol. 166, pp. 114103-114103
Open Access | Times Cited: 36
Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, et al.
Expert Systems with Applications (2020) Vol. 166, pp. 114103-114103
Open Access | Times Cited: 36
MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images
Manju Dabass, Sharda Vashisth, Rekha Vig
Computers in Biology and Medicine (2022) Vol. 150, pp. 106095-106095
Closed Access | Times Cited: 15
Manju Dabass, Sharda Vashisth, Rekha Vig
Computers in Biology and Medicine (2022) Vol. 150, pp. 106095-106095
Closed Access | Times Cited: 15
Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images
Jaqueline Junko Tenguam, Leonardo C. Longo, Guilherme Freire Roberto, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 2
Jaqueline Junko Tenguam, Leonardo C. Longo, Guilherme Freire Roberto, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1084-1084
Open Access | Times Cited: 2
Exploring DeepDream and XAI Representations for Classifying Histological Images
João Martinez, Leandro Alves Neves, Leonardo C. Longo, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
João Martinez, Leandro Alves Neves, Leonardo C. Longo, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 2
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images
David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020)
Closed Access | Times Cited: 14
David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020)
Closed Access | Times Cited: 14
An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images
Guilherme Freire Roberto, Leandro Alves Neves, Alessandra Lumini, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Guilherme Freire Roberto, Leandro Alves Neves, Alessandra Lumini, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images
Guilherme Freire Roberto, Danilo C. Pereira, Alessandro S. Martins, et al.
Pattern Recognition Letters (2024)
Open Access | Times Cited: 1
Guilherme Freire Roberto, Danilo C. Pereira, Alessandro S. Martins, et al.
Pattern Recognition Letters (2024)
Open Access | Times Cited: 1
Analysis of cancer in histological images: employing an approach based on genetic algorithm
Daniela F. Taino, Matheus Ribeiro, Guilherme Freire Roberto, et al.
Pattern Analysis and Applications (2020) Vol. 24, Iss. 2, pp. 483-496
Closed Access | Times Cited: 9
Daniela F. Taino, Matheus Ribeiro, Guilherme Freire Roberto, et al.
Pattern Analysis and Applications (2020) Vol. 24, Iss. 2, pp. 483-496
Closed Access | Times Cited: 9
Classification of Multiple H&E Images via an Ensemble Computational Scheme
Leonardo C. Longo, Guilherme Freire Roberto, Tháına A. A. Tosta, et al.
Entropy (2023) Vol. 26, Iss. 1, pp. 34-34
Open Access | Times Cited: 3
Leonardo C. Longo, Guilherme Freire Roberto, Tháına A. A. Tosta, et al.
Entropy (2023) Vol. 26, Iss. 1, pp. 34-34
Open Access | Times Cited: 3
Feature Extraction from EEG signals for detection of Parkinsons Disease
Carolline Angela dos Santos Souza, Giovanni Guimarães Viana, Bruno Fonseca Oliveira Coelho, et al.
(2024), pp. 1-6
Open Access
Carolline Angela dos Santos Souza, Giovanni Guimarães Viana, Bruno Fonseca Oliveira Coelho, et al.
(2024), pp. 1-6
Open Access
Surface Defect Recognition of Solar Panel Based on Percolation-Based Image Processing and Serre Standard Model
Xia Bing, Shengpu Li, Ning Li, et al.
IEEE Access (2023) Vol. 11, pp. 55126-55138
Open Access | Times Cited: 1
Xia Bing, Shengpu Li, Ning Li, et al.
IEEE Access (2023) Vol. 11, pp. 55126-55138
Open Access | Times Cited: 1
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Kamran Kowsari
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Kamran Kowsari
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification
Guilherme Freire Roberto, Danilo C. Pereira, Alessandro S. Martins, et al.
Lecture notes in computer science (2023), pp. 163-177
Closed Access
Guilherme Freire Roberto, Danilo C. Pereira, Alessandro S. Martins, et al.
Lecture notes in computer science (2023), pp. 163-177
Closed Access
Percolation Images: Fractal Geometry Features for Brain Tumor Classification
Alessandra Lumini, Guilherme Freire Roberto, Leandro Alves Neves, et al.
Advances in neurobiology (2023), pp. 557-570
Closed Access
Alessandra Lumini, Guilherme Freire Roberto, Leandro Alves Neves, et al.
Advances in neurobiology (2023), pp. 557-570
Closed Access
Metode Naive Bayes Classifier dan Forward Selection Untuk Deteksi Berita Hoaks Bahasa Indonesia
Danang Bagus Chandra Prasetiyo, Pulung Nurtantio Andono, Catur Supriyanto
JURNAL MEDIA INFORMATIKA BUDIDARMA (2023) Vol. 7, Iss. 3, pp. 1541-1541
Open Access
Danang Bagus Chandra Prasetiyo, Pulung Nurtantio Andono, Catur Supriyanto
JURNAL MEDIA INFORMATIKA BUDIDARMA (2023) Vol. 7, Iss. 3, pp. 1541-1541
Open Access
Foreword to special section on SIBGRAPI 2019
Marcos Lage, Filip Sadlo
Computers & Graphics (2019) Vol. 85, pp. A3-A6
Closed Access
Marcos Lage, Filip Sadlo
Computers & Graphics (2019) Vol. 85, pp. A3-A6
Closed Access
Percolation Features: An approach for evaluating fractal properties in colour images
Guilherme Freire Roberto, Leandro Alves Neves, Leonardo C. Longo, et al.
Software Impacts (2022) Vol. 14, pp. 100387-100387
Open Access
Guilherme Freire Roberto, Leandro Alves Neves, Leonardo C. Longo, et al.
Software Impacts (2022) Vol. 14, pp. 100387-100387
Open Access
Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images
Luiz Fernando Segato dos Santos, Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, et al.
(2022), pp. 1-4
Closed Access
Luiz Fernando Segato dos Santos, Guilherme Botazzo Rozendo, Marcelo Zanchetta do Nascimento, et al.
(2022), pp. 1-4
Closed Access
Python – a Tool for Percolation Analysis in Triangular Lattice
Neeru Gupta, M. Nath, Saptarshi Chakraborty, et al.
Journal of Nano- and Electronic Physics (2021) Vol. 13, Iss. 2, pp. 02009-4
Open Access
Neeru Gupta, M. Nath, Saptarshi Chakraborty, et al.
Journal of Nano- and Electronic Physics (2021) Vol. 13, Iss. 2, pp. 02009-4
Open Access
