Follow
Michel Fornaciali
Michel Fornaciali
Data Science Specialist @ Albert Einstein Israelite Hospital
Verified email at einstein.br - Homepage
Title
Cited by
Cited by
Year
Knowledge transfer for melanoma screening with deep learning
A Menegola, M Fornaciali, R Pires, FV Bittencourt, S Avila, E Valle
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
2282017
RECOD titans at ISIC challenge 2017
A Menegola, J Tavares, M Fornaciali, LT Li, S Avila, E Valle
arXiv preprint arXiv:1703.04819, 2017
1532017
Towards automated melanoma screening: Exploring transfer learning schemes
A Menegola, M Fornaciali, R Pires, S Avila, E Valle
arXiv preprint arXiv:1609.01228, 2016
532016
GeoSES: A socioeconomic index for health and social research in Brazil
LV Barrozo, M Fornaciali, CDS de André, GAZ Morais, G Mansur, ...
PloS one 15 (4), e0232074, 2020
472020
Deep-learning ensembles for skin-lesion segmentation, analysis, classification: RECOD titans at ISIC challenge 2018
A Bissoto, F Perez, V Ribeiro, M Fornaciali, S Avila, E Valle
arXiv preprint arXiv:1808.08480, 2018
452018
Data, depth, and design: Learning reliable models for skin lesion analysis
E Valle, M Fornaciali, A Menegola, J Tavares, FV Bittencourt, LT Li, ...
Neurocomputing 383, 303-313, 2020
412020
(De) Constructing bias on skin lesion datasets
A Bissoto, M Fornaciali, E Valle, S Avila
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
342019
Towards automated melanoma screening: Proper computer vision & reliable results
M Fornaciali, M Carvalho, FV Bittencourt, S Avila, E Valle
arXiv preprint arXiv:1604.04024, 2016
332016
Data, depth, and design: Learning reliable models for melanoma screening
E Valle, M Fornaciali, A Menegola, J Tavares, FV Bittencourt, LT Li, ...
arXiv preprint arXiv:1711.00441 1 (1), 770-778, 2017
322017
Statistical learning approach for robust melanoma screening
M Fornaciali, S Avila, M Carvalho, E Valle
2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 319-326, 2014
162014
constructing bias on skin lesion datasets. In 2019 IEEE
A Bissoto, M Fornaciali, E Valle, S Avila
CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019
112019
A infoinclusão da pessoa com deficiência proporcionando acesso igualitário ao mercado de trabalho em Tecnologia da Informação e Comunicação
MS Fornaciali, L de Almeida, LRG de Almeida
Tecnologias, Sociedade e Conhecimento 2 (1), 7-23, 2014
42014
Valle
A Menegola, M Fornaciali, R Pires, FV Bittencourt, S Avila
E.: Knowledge transfer for melanoma screening with deep learning. ArXiv e-prints, 0
4
Generating high quality synthetic skin lesions for boosting automated screening
A Bissoto, M Fornaciali, E Valle, S Avila
International Educational Symposium of the Melanoma World Society, 43-43, 2018
22018
GeoSES--um\'Indice Socioecon\^ omico para Estudos de Sa\'ude no Brasil
LV Barrozo, M Fornaciali, CDS de André, GAZ Morais, G Mansur, ...
arXiv preprint arXiv:1910.06155, 2019
12019
GeoSES--um Índice Socioeconômico para Estudos de Saúde no Brasil
L Vizeu Barrozo, M Fornaciali, C Diva Saldiva de André, GA Zimeo Morais, ...
arXiv e-prints, arXiv: 1910.06155, 2019
2019
Reliable Automated Melanoma Screening for the Real World Rastreio Confiável Automático de Melanoma para o Mundo Real
MS Fornaciali
[sn], 2019
2019
Towards Robust Melanoma Screening: A Case for Enhanced Mid-level Features Triagem Robusta de Melanoma: Em Defesa dos Descritores Aprimorados de Nível Médio
MS Fornaciali
[sn], 2015
2015
Preparando pessoas com deficiência para o mercado de trabalho de Tecnologia da Informaçao e Comunicaçao
M Fornaciali, L de Almeida, LRG de Almeida
Anais do XX Workshop de Informática na Escola, 438-447, 2014
2014
The system can't perform the operation now. Try again later.
Articles 1–19