Biography

Vinicius Pavanelli Vianna is a PostDoc PhD researcher at the CSIM lab (DCM-FFCLRP-USP). His research interests include medical image registration using mutual information, neural networks, machine learning algorithms and programming on CUDA and C++.

Interests

Mutual information registration
Generalized entropies (Tsallis and Rényi)
Artificial Inteligence
Scientific computation (CUDA)

Education

PhD in Physics applied to Medicine and Biology, 2021

FAMB/FFCLRP at University of São Paulo
BSc in Telecomunications Engineering, 2011

Polytechnic School of the University of São Paulo

Recent Publications

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Generalized mutual information metrics for affine brain image registration: proposal and evaluation

Background and Objective: Image registration is a key operation in medical image processing, allowing a plethora of applications. …

Vinicius Pavanelli Vianna

DOI

Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment

Objective. Mutual information (MI) is consolidated as a robust similarity metric often used for medical image registration. Although MI …

Vinicius Pavanelli Vianna, Luiz Otavio Murta Junior

DOI

Aprendizado de Máquina com Séries Temporais: Estudo dos Dados de Lentidão da Companhia de Engenharia de Tráfego de São Paulo

Vinicius Pavanelli Vianna

PDF Slides

Implementação da árvore PATRICIA em C++

Vinicius Pavanelli Vianna

Code Slides

Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation

Convolutional neural networks (ConvNets) are the actual standard for image recognizement and classification. On the present work we …

Vinicius Pavanelli Vianna

PDF Slides

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PostDoc at DCM-FFCLRP-USP

FAMB - USP

Biography

Interests

Education

Recent Publications

Generalized mutual information metrics for affine brain image registration: proposal and evaluation

Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment

Aprendizado de Máquina com Séries Temporais: Estudo dos Dados de Lentidão da Companhia de Engenharia de Tráfego de São Paulo

Implementação da árvore PATRICIA em C++

Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation

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