Marcelo Zanchetta do Nascimento

Marcelo Zanchetta do Nascimento

Universidade Federal de Uberlândia

H-index: 18

Latin America-Brazil

About Marcelo Zanchetta do Nascimento

Marcelo Zanchetta do Nascimento, With an exceptional h-index of 18 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidade Federal de Uberlândia, specializes in the field of Medical Image Analysis, Image Processing, Computer Aided Diagnosis, Multimedia, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring DeepDream and XAI Representations for Classifying Histological Images

Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier

OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification

An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images

Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images

Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images

Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images

An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19.

Marcelo Zanchetta do Nascimento Information

University

Position

Associate Professor

Citations(all)

1347

Citations(since 2020)

924

Cited By

879

hIndex(all)

18

hIndex(since 2020)

16

i10Index(all)

33

i10Index(since 2020)

28

Email

University Profile Page

Universidade Federal de Uberlândia

Google Scholar

View Google Scholar Profile

Marcelo Zanchetta do Nascimento Skills & Research Interests

Medical Image Analysis

Image Processing

Computer Aided Diagnosis

Multimedia

Pattern Recognition

Top articles of Marcelo Zanchetta do Nascimento

Title

Journal

Author(s)

Publication Date

Exploring DeepDream and XAI Representations for Classifying Histological Images

SN Computer Science

João Manoel Cardoso Martinez

Leandro Alves Neves

Leonardo Henrique da Costa Longo

Guilherme Botazzo Rozendo

Guilherme Freire Roberto

...

2024/3/29

Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier

Multimedia Tools and Applications

Cléber I de Oliveira

Marcelo Z do Nascimento

Guilherme F Roberto

Thaína AA Tosta

Alessandro S Martins

...

2024/3

OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification

Journal of Imaging Informatics in Medicine

Adriano Barbosa Silva

Alessandro Santana Martins

Thaína Aparecida Azevedo Tosta

Adriano Mota Loyola

Sérgio Vitorino Cardoso

...

2024/2/26

An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images

Pattern Analysis and Applications

Guilherme Freire Roberto

Leandro Alves Neves

Alessandra Lumini

Alessandro Santana Martins

Marcelo Zanchetta do Nascimento

2024/3

Ensemble Learning-Based Solutions: An Approach for Evaluating Multiple Features in the Context of H&E Histological Images

Applied Sciences

Jaqueline J Tenguam

Leonardo H da Costa Longo

Guilherme F Roberto

Thaína AA Tosta

Paulo R de Faria

...

2024/1/26

Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images

Pattern Analysis and Applications

Thaína A Azevedo Tosta

Paulo Rogério de Faria

Leandro Alves Neves

Alessandro Santana Martins

Chetna Kaushal

...

2024/3

Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images

Expert Systems with Applications

João Pedro Miranda Miguel

Leandro Alves Neves

Alessandro Santana Martins

Marcelo Zanchetta do Nascimento

Thaína A Azevedo Tosta

2023/11/30

An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19.

Pedro Lucas Miguel

Adriano Mauro Cansian

Guilherme Botazzo Rozendo

Giuliano Cardozo Medalha

Marcelo Zanchetta do Nascimento

...

2023/1/1

Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images

Danilo C Pereira

Leonardo C Longo

Thaína AA Tosta

Alessandro S Martins

Adriano B Silva

...

2023/6/22

Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers

Proceedings

Leandro Alves Neves

João Manuel Cardoso Martinez

Leonardo Henrique da Costa Longo

Guilherme Freire Roberto

Thaína Aparecida Azevedo Tosta

...

2023

Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy

Guilherme Botazzo Rozendo

Guilherme Freire Roberto

Marcelo Zanchetta do Nascimento

Leandro Alves Neves

Alessandra Lumini

2023/11/27

Classification of Multiple H&E Images via an Ensemble Computational Scheme

Entropy

Leonardo H da Costa Longo

Guilherme F Roberto

Thaína AA Tosta

Paulo R de Faria

Adriano M Loyola

...

2023/12/28

Influence of data augmentation strategies on the segmentation of Oral histological images using fully convolutional neural networks

Journal of Digital Imaging

Dalí FD Dos Santos

Paulo R de Faria

Bruno AN Travençolo

Marcelo Z do Nascimento

2023/8

Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset

arXiv preprint arXiv:2303.10172

Dalí FD dos Santos

Paulo R de Faria

Adriano M Loyola

Sérgio V Cardoso

Bruno AN Travençolo

...

2023/1/13

Investigating the Performance of Optimization Techniques on Deep Learning Models to Identify Dota2 Game Events.

Matheus Prado Prandini Faria

Etienne Silva Julia

Henrique Coelho Fernandes

Marcelo Zanchetta do Nascimento

Rita Maria da Silva Julia

2023

Percolation Images: Fractal Geometry Features for Brain Tumor Classification

Alessandra Lumini

Guilherme Freire Roberto

Leandro Alves Neves

Alessandro Santana Martins

Marcelo Zanchetta do Nascimento

2023/10/12

CNN Ensembles for Nuclei Segmentation on Histological Images of OED

Adriano B Silva

Guilherme B Rozendo

Thaína AA Tosta

Alessandro S Martins

Adriano M Loyola

...

2023/6/22

A stain color normalization with robust dictionary learning for breast cancer histological images processing

Biomedical Signal Processing and Control

Thaína A Azevedo Tosta

André Dias Freitas

Paulo Rogério de Faria

Leandro Alves Neves

Alessandro Santana Martins

...

2023/8/1

Proposing an Automatic System for Generating Super Mario Bros Datasets

Matheus Prado Prandini Faria

Etienne Silva Julia

Rodrigo Zamboni Silva

Marcelo Zanchetta do Nascimento

Rita Maria Silva Julia

2022/10/24

Ensembles of fractal descriptors with multiple deep learned features for classification of histological images

Leonardo Henrique Da Costa Longo

Alessandro S Martins

Marcelo Zanchetta Do Nascimento

Luiz Fernando Segato Dos Santos

Guilherme Freire Roberto

...

2022/6/1

See List of Professors in Marcelo Zanchetta do Nascimento University(Universidade Federal de Uberlândia)

Co-Authors

H-index: 27
Paulo Rogério de Faria

Paulo Rogério de Faria

Universidade Federal de Uberlândia

H-index: 17
Leandro Alves Neves

Leandro Alves Neves

Universidade Estadual Paulista

H-index: 13
Thaína Aparecida Azevedo Tosta

Thaína Aparecida Azevedo Tosta

Universidade Federal de São Paulo

H-index: 10
Valerio Ramos Batista

Valerio Ramos Batista

Universidade Federal do ABC

H-index: 8
Márcio Alexandre Marques

Márcio Alexandre Marques

Universidade Estadual Paulista

H-index: 8
Geraldo Francisco Donega Zafalon

Geraldo Francisco Donega Zafalon

Universidade Estadual Paulista

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