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Francisco Perdigon Romero
Francisco Perdigon Romero
Ericsson Canada
Verified email at polymtl.ca
Title
Cited by
Cited by
Year
Deep learning: an update for radiologists
PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ...
Radiographics 41 (5), 1427-1445, 2021
952021
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
472017
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
442020
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
342019
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
332018
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
272021
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
272019
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
262020
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
252018
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
182022
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
172020
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
102015
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
82020
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
62022
A normalized fully convolutional approach to head and neck cancer outcome prediction
W Le, FP Romero, S Kadoury
arXiv preprint arXiv:2005.14017, 2020
62020
Métodos para a eliminação de flutuações de linha base em sinais de eletrocardiograma: estudo comparativo
FP Romero
Universidade Federal do Amazonas, 2016
32016
Processing system with encoding for processing multiple analog signals
D Thompson, H Marr, F Romero
US Patent 9,391,631, 2016
32016
Methods for baseline wander removal in electrocardiogram signals: a comparative study
FP Romero
Manaus: Universidad Federal del Amazonas, Ingeniería Eléctrica, 2016
22016
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
12024
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
12019
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