Deep learning: an update for radiologists PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ... Radiographics 41 (5), 1427-1445, 2021 | 103 | 2021 |
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks LV Romaguera, FP Romero, MGF Costa, CFF Costa Filho Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101342Z, 2017 | 47 | 2017 |
Overview of machine learning: part 2: deep learning for medical image analysis WT Le, F Maleki, FP Romero, R Forghani, S Kadoury Neuroimaging Clinics 30 (4), 417-431, 2020 | 45 | 2020 |
End-to-end discriminative deep network for liver lesion classification FP Romero, A Diler, G Bisson-Gregoire, S Turcotte, R Lapointe, ... 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 35 | 2019 |
Myocardial segmentation in cardiac magnetic resonance images using fully convolutional neural networks LV Romaguera, FP Romero, CFF Costa Filho, MGF Costa Biomedical Signal Processing and Control 44, 48-57, 2018 | 34 | 2018 |
DeepFilter: An ECG baseline wander removal filter using deep learning techniques FP Romero, DC Piñol, CRV Seisdedos Biomedical Signal Processing and Control 70 (102992), 10, 2021 | 30 | 2021 |
Multi-level batch normalization in deep networks for invasive ductal carcinoma cell discrimination in histopathology images FP Romero, A Tang, S Kadoury 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 28 | 2019 |
Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks LV Romaguera, R Plantefève, FP Romero, F Hébert, JF Carrier, ... Medical image analysis 64, 101754, 2020 | 26 | 2020 |
Baseline wander removal methods for ECG signals: A comparative study FP Romero, LV Romaguera, CR Vázquez-Seisdedos, MGF Costa, ... arXiv preprint arXiv:1807.11359, 2018 | 26 | 2018 |
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks WT Le, E Vorontsov, FP Romero, L Seddik, MM Elsharief, PF Nguyen-Tan, ... Scientific Reports 12 (1), 3183, 2022 | 19 | 2022 |
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach SK Ahmad Maaref, Francisco Perdigon Romero, Emmanuel Montagnon, Milena Cerny ... Journal of Digital Imaging 33, 2020 | 18 | 2020 |
Pupil segmentation approach on low resolution images LV Romaguera, FP Romero, CRV Seisdedos, JE Neto VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná …, 2015 | 10 | 2015 |
Spine intervertebral disc labeling using a fully convolutional redundant counting model L Rouhier, FP Romero, JP Cohen, J Cohen-Adad arXiv preprint arXiv:2003.04387, 2020 | 8 | 2020 |
Semi-weakly supervised object detection by sampling pseudo ground-truth boxes A Meethal, M Pedersoli, Z Zhu, FP Romero, E Granger 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 6 | 2022 |
A normalized fully convolutional approach to head and neck cancer outcome prediction W Le, FP Romero, S Kadoury arXiv preprint arXiv:2005.14017, 2020 | 6 | 2020 |
Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher A Belal, A Meethal, FP Romero, M Pedersoli, E Granger Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
Métodos para a eliminação de flutuações de linha base em sinais de eletrocardiograma: estudo comparativo FP Romero Universidade Federal do Amazonas, 2016 | 3 | 2016 |
Processing system with encoding for processing multiple analog signals D Thompson, H Marr, F Romero US Patent 9,391,631, 2016 | 3 | 2016 |
Methods for baseline wander removal in electrocardiogram signals: a comparative study FP Romero Manaus: Universidad Federal del Amazonas, Ingeniería Eléctrica, 2016 | 2 | 2016 |
Multi-level batch normalization in deep networks for invasive ductal carcinoma cell discrimination in histopathology images F Perdigon Romero, A Tang, S Kadoury arXiv e-prints, arXiv: 1901.03684, 2019 | 1 | 2019 |