Irene H S P Fantini
Irene H S P Fantini
PhD candidate, UNICAMP
Verified email at dca.fee.unicamp.br
Title
Cited by
Cited by
Year
Automatic detection of motion artifacts on MRI using Deep CNN
I Fantini, L Rittner, C Yasuda, R Lotufo
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2018
142018
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging
I Fantini, C Yasuda, M Bento, L Rittner, F Cendes, R Lotufo
Computerized Medical Imaging and Graphics 90, 101897, 2021
32021
An extended-2D CNN for multiclass Alzheimer's Disease diagnosis through structural MRI
M Pereira, I Fantini, R Lotufo, L Rittner
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113141V, 2020
32020
Multitasking segmentation of lung and COVID-19 findings in CT scans using modified EfficientDet, UNet and MobileNetV3 models
D Carmo, I Campiotti, I Fantini, L Rodrigues, L Rittner, R Lotufo
17th International Symposium on Medical Information Processing and Analysis …, 2021
2021
Leveraging sEMG gesture recognition training on edge devices
TS Tavares, AF Osorio, IH Fantini, RR Alves
17th International Symposium on Medical Information Processing and Analysis …, 2021
2021
Rapidly deploying a COVID-19 decision support system in one of the largest Brazilian hospitals
D Carmo, I Campiotti, L Rodrigues, I Fantini, G Pinheiro, D Moraes, ...
Health Informatics Journal 27 (3), 14604582211033017, 2021
2021
Visualizing and understanding deep learning features for MRI motion artifact detection
I Fantini, C Rittner, Leticia, Yasuda, R Lotufo
International Society for Magnetic Resonance in Medicine Annual Meeting, 2019
2019
MRI scanner attribution from its pattern noise.
IHSP FANTINI, LMA RODRIGUES, L RITTNER, RA LOTUFO
Journal of Epilepsy and Clinical Neurophysiology 22 (3), 106-117, 2016
2016
Otimização dos codificadores VSELP e EFR por refinamento na modelagem autoregressiva
IHSP Fantini
[sn], 2000
2000
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
M Bento, I Fantini, J Park, L Rittner, R Frayne
Frontiers in Neuroinformatics, 82, 0
Detecção de artefatos de movimento em imagens de RM utilizando redes convolucionais profundas: análise de diferentes arquiteturas
I Fantini, L Rittner, R Lotufo
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Articles 1–11