| Padchest: A large chest x-ray image dataset with multi-label annotated reports A Bustos, A Pertusa, JM Salinas, M De La Iglesia-Vaya Medical image analysis 66, 101797, 2020 | 916 | 2020 |
| BIMCV COVID-19+: A large annotated dataset of RX and CT images from COVID-19 patients MDLI Vayá, JM Saborit, JA Montell, A Pertusa, A Bustos, M Cazorla, ... arXiv preprint arXiv:2006.01174, 2020 | 285 | 2020 |
| Automatic ship classification from optical aerial images with convolutional neural networks AJ Gallego, A Pertusa, P Gil Remote Sensing 10 (4), 511, 2018 | 205 | 2018 |
| Improving Genre Classification by Combination of Audio and Symbolic Descriptors Using a Transcription System T Lidy, A Rauber, A Pertusa, JMI Quereda ISMIR, 61-66, 2007 | 115 | 2007 |
| Two-stage convolutional neural network for ship and spill detection using SLAR images M Nieto-Hidalgo, AJ Gallego, P Gil, A Pertusa IEEE Transactions on geoscience and remote sensing 56 (9), 5217-5230, 2018 | 101 | 2018 |
| Multiple fundamental frequency estimation using Gaussian smoothness A Pertusa, JM Inesta 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 86 | 2008 |
| Detection of bodies in maritime rescue operations using unmanned aerial vehicles with multispectral cameras AJ Gallego, A Pertusa, P Gil, RB Fisher Journal of Field Robotics 36 (4), 782-796, 2019 | 70 | 2019 |
| A pattern recognition approach for melody track selection in midi files D Rizo, PJ Ponce de León Amador, C Pérez-Sancho, A Pertusa, ... University of Victoria, 2006 | 68 | 2006 |
| A holistic approach to polyphonic music transcription with neural networks MA Román, A Pertusa, J Calvo-Zaragoza 20th International Society for Music Information Retrieval Conference, ISMIR …, 2019 | 49 | 2019 |
| Shallow parsing for Portuguese-Spanish machine translation A Garrido Alenda, P Gilabert Zarco, JA Pérez-Ortiz, A Pertusa, ... Edições Colibri, 2004 | 49 | 2004 |
| An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. MA Román, A Pertusa, J Calvo-Zaragoza ISMIR, 34-41, 2018 | 48 | 2018 |
| End-to-End Optical Music Recognition Using Neural Networks J Calvo-Zaragoza, JJ Valero-Mas, A Pertusa International Society for Music Information Retrieval Conference, 2017 | 48 | 2017 |
| Segmentation of oil spills on side-looking airborne radar imagery with autoencoders AJ Gallego, P Gil, A Pertusa, RB Fisher Sensors 18 (3), 797, 2018 | 44 | 2018 |
| Staff-line detection and removal using a convolutional neural network J Calvo-Zaragoza, A Pertusa, J Oncina Machine Vision and Applications 28 (5), 665-674, 2017 | 44 | 2017 |
| Semantic segmentation of SLAR imagery with convolutional LSTM selectional autoencoders AJ Gallego, P Gil, A Pertusa, RB Fisher Remote Sensing 11 (12), 1402, 2019 | 34 | 2019 |
| Learning eligibility in cancer clinical trials using deep neural networks A Bustos, A Pertusa Applied Sciences 8 (7), 1206, 2018 | 33 | 2018 |
| Performance-based interpreter identification in saxophone audio recordings R Ramirez, E Maestre, A Pertusa, E Gomez, X Serra IEEE Transactions on Circuits and Systems for Video Technology 17 (3), 356-364, 2007 | 33 | 2007 |
| Combining audio and symbolic descriptors for music classification from audio T Lidy, A Rauber, A Pertusa, J Inesta Music Information Retrieval Information Exchange (MIREX), 2007 | 33 | 2007 |
| Data representations for audio-to-score monophonic music transcription MA Román, A Pertusa, J Calvo-Zaragoza Expert Systems with Applications 162, 113769, 2020 | 31 | 2020 |
| Improving convolutional neural networks’ accuracy in noisy environments using k-nearest neighbors AJ Gallego, A Pertusa, J Calvo-Zaragoza Applied Sciences 8 (11), 2086, 2018 | 30 | 2018 |
Antonio Javier GallegoAssociate Professor, University of Alicante, SpainVerified email at dlsi.ua.es
