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Jaime Melendez
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2020 – today
- 2020
- [c12]Sergio Rodríguez Masumura, Luis Felipe Moncada Calmet, Jaime Melendez, Jorge Luis Alva Alarcón:
Sign recognition with an electronic glove driven by a neural network programmed on an 8-bit microcontroller. ICSPCS 2020: 1-5
2010 – 2019
- 2019
- [i1]Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst Th. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken:
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. CoRR abs/1903.03349 (2019) - 2017
- [j11]Mohamed Abdel-Nasser
, Jaime Melendez, Antonio Moreno
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods. Eng. Appl. Artif. Intell. 59: 84-92 (2017) - 2016
- [j10]Jordina Torrents-Barrena, Domenec Puig, Jaime Melendez, Aïda Valls
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images. J. Exp. Theor. Artif. Intell. 28(1-2): 295-311 (2016) - [j9]Pragnya Maduskar, Rick H. H. M. Philipsen, Jaime Melendez, Ernst Th. Scholten, Duncan Chanda, Helen Ayles
Automatic detection of pleural effusion in chest radiographs. Medical Image Anal. 28: 22-32 (2016) - [j8]Jaime Melendez
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis. IEEE Trans. Medical Imaging 35(4): 1013-1024 (2016) - 2015
- [j7]Albert Gubern-Mérida, Robert Marti
Automated localization of breast cancer in DCE-MRI. Medical Image Anal. 20(1): 265-274 (2015) - [j6]Jaime Melendez, Bram van Ginneken
A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays. IEEE Trans. Medical Imaging 34(1): 179-192 (2015) - [j5]Rick H. H. M. Philipsen, Pragnya Maduskar, Laurens Hogeweg, Jaime Melendez, Clara I. Sánchez, Bram van Ginneken
Localized Energy-Based Normalization of Medical Images: Application to Chest Radiography. IEEE Trans. Medical Imaging 34(9): 1965-1975 (2015) - [c11]Jordina Torrents-Barrena, Jaime Melendez, Aïda Valls
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks. CCIA 2015: 259-262 - 2014
- [c10]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Joan Martí, Aïda Valls
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms. CCIA 2014: 149-158 - [c9]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Lorena Diez-Presa, Meritxell Arenas
Breast Masses Identification through Pixel-Based Texture Classification. Digital Mammography / IWDM 2014: 581-588 - [c8]Jaime Melendez, Clara I. Sánchez, Rick H. H. M. Philipsen, Pragnya Maduskar, Bram van Ginneken
Multiple-instance learning for computer-aided detection of tuberculosis. Computer-Aided Diagnosis 2014: 90351J - 2013
- [c7]Mario Andres Bruno
Personalization of Serious Videogames for Occupational Engagement for Elderly. IWAAL 2013: 55-62 - 2012
- [c6]Domenec Puig, Jaime Melendez, Agusti Solanas
Supervised Texture Classification Using Optimization Techniques. CCIA 2012: 81-90 - [c5]Jaime Melendez, Clara I. Sánchez, Rianne Hupse, Bram van Ginneken
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography. Digital Mammography / IWDM 2012: 682-689 - 2011
- [j4]Jaime Melendez, Miguel Ángel García, Domenec Puig, Maria Petrou:
Unsupervised texture-based image segmentation through pattern discovery. Comput. Vis. Image Underst. 115(8): 1121-1133 (2011) - [c4]Jaime Melendez, Xavier Gironés, Domenec Puig:
Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters. ICIP 2011: 2869-2872 - 2010
- [b1]Jaime Christian Meléndez Rodríguez:
Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification. University of Rovira i Virgili, Spain, 2010 - [j3]Domenec Puig, Miguel Ángel García, Jaime Melendez:
Application-independent feature selection for texture classification. Pattern Recognit. 43(10): 3282-3297 (2010) - [j2]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Multi-level pixel-based texture classification through efficient prototype selection via normalized cut. Pattern Recognit. 43(12): 4113-4123 (2010) - [c3]Jaime Melendez, Domenec Puig, Miguel Ángel García:
On Adapting Pixel-based Classification to Unsupervised Texture Segmentation. ICPR 2010: 854-857
2000 – 2009
- 2009
- [c2]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Gabor-based texture classification through efficient prototype selection via normalized cut. ICIP 2009: 1385-1388 - 2008
- [j1]Jaime Melendez, Miguel Ángel García, Domenec Puig:
Efficient distance-based per-pixel texture classification with Gabor wavelet filters. Pattern Anal. Appl. 11(3-4): 365-372 (2008) - 2007
- [c1]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification. CAIP 2007: 912-920
Coauthor Index
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