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Gerard Pons
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Zitiert von
Jahr
Automated breast ultrasound lesions detection using convolutional neural networks
MH Yap, G Pons, J Marti, S Ganau, M Sentis, R Zwiggelaar, AK Davison, ...
IEEE journal of biomedical and health informatics 22 (4), 1218-1226, 2017
8712017
Supervised committee of convolutional neural networks in automated facial expression analysis
G Pons, D Masip
IEEE Transactions on Affective Computing 9 (3), 343-350, 2017
1202017
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition
G Pons, D Masip
arXiv preprint arXiv:1802.06664, 2018
612018
Multitask, multilabel, and multidomain learning with convolutional networks for emotion recognition
G Pons, D Masip
IEEE Transactions on Cybernetics 52 (6), 4764-4771, 2020
312020
Breast-lesion segmentation combining B-mode and elastography ultrasound
G Pons, J Martí, R Martí, S Ganau, JA Noble
Ultrasonic imaging 38 (3), 209-224, 2016
262016
Evaluating lesion segmentation on breast sonography as related to lesion type
G Pons, J Martí, R Martí, S Ganau, JC Vilanova, JA Noble
Journal of Ultrasound in Medicine 32 (9), 1659-1670, 2013
232013
Automatic nonlinear filtering and segmentation for breast ultrasound images
M Elawady, I Sadek, AER Shabayek, G Pons, S Ganau
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
202016
Feasibility study of lesion detection using deformable part models in breast ultrasound images
G Pons, R Martí, S Ganau, M Sentís, J Martí
Pattern Recognition and Image Analysis: 6th Iberian Conference, IbPRIA 2013 …, 2013
182013
Computerized detection of breast lesions using deformable part models in ultrasound images
G Pons, R Martí, S Ganau, M Sentis, J Marti
Ultrasound in medicine & biology 40 (9), 2252-2264, 2014
172014
A deep multimodal learning approach to perceive basic needs of humans from Instagram profile
MM Dehshibi, B Baiani, G Pons, D Masip
IEEE Transactions on Affective Computing 14 (2), 944-956, 2021
122021
Simultaneous lesion segmentation and bias correction in breast ultrasound images
G Pons, J Martí, R Martí, J Noble
Pattern Recognition and Image Analysis, 692-699, 2011
122011
Investigating affective responses toward in-video pedestrian crossing actions using camera and physiological sensors
S Rao, S Ghosh, G Pons Rodriguez, T Röggla, A El Ali, P Cesar
Proceedings of the 14th International Conference on Automotive User …, 2022
52022
ET-CycleGAN: Generating thermal images from images in the visible spectrum for facial emotion recognition
G Pons, A El Ali, P Cesar
Companion publication of the 2020 international conference on multimodal …, 2020
52020
Exploring emotion responses toward pedestrian crossing actions for designing in-vehicle empathic interfaces
S Ghosh, G Pons Rodriguez, S Rao, A El Ali, P Cesar
CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022
42022
Vicsom: Visual clues from social media for psychological assessment
MM Dehshibi, G Pons, B Baiani, D Masip
arXiv preprint arXiv:1905.06203, 2019
42019
Affective Driver-Pedestrian Interaction: Exploring Driver Affective Responses toward Pedestrian Crossing Actions using Camera and Physiological Sensors
S Rao, S Wirjopawiro, G Pons Rodriguez, T Röggla, P Cesar, A El Ali
Proceedings of the 15th International Conference on Automotive User …, 2023
12023
Computer-aided lesion detection and segmentation on breast ultrasound
G Pons Rodríguez
Universitat de Girona, 2014
12014
Intelligent system for optimisation in golf course maintenance
G Pons, M Compta, X Berjaga, F Lulli, JM Lopez
Artificial Intelligence Research and Development, 67-76, 2014
12014
Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information
G Pons, J Martí, R Martí, M Cabezas, A Di Battista, JA Noble
Medical Imaging 2012: Image Processing 8314, 413-418, 2012
12012
Computer-aid lesion detection and segmentation in breast ultrasound images
G Pons, J Massich, R Martí, M Sentís, S Ganau, J Fernandez-Bayo, ...
European Congress of Radiology-ECR 2013, 2013
2013
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