| 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 | 14 | 2018 |
| 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 | 3 | 2021 |
| 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 | 3 | 2020 |
| 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 | | |
