Publications

Journal Publications

[013] S. Pertuz, E. Pulido-Herrera, J. Kamarainen, Focus Model for Metric Depth Estimation in Standard Plenoptic Cameras, ISPRS Journal of Photogrammetry and Remote Sensing. 144:38-47, 2018. 10.1016/j.isprsjprs.2018.06.020 [pdf]

[012] S. Pertuz, J. I. Torres, Lineamientos para el diseño de cursos online masivos abiertos (MOOC) en ingeniería electrónica, Entre Ciencia e Ingeniería, 11(21):42-49, 2017. [pdf]

[011] E. Mojica, S. Pertuz, H. Arguello, High-resolution coded-aperture design for compressive X-ray tomography using low resolution detectors, Optics Communications 404C:103-109, 2017. 10.1016/j.optcom.2017.06.053

[010] S. Pertuz, M. A. Garcia, D. Puig, H. Arguello, Closed-form focus profile model for conventional digital cameras, International Journal of Computer Vision, 124(3):273-286. DOI:10.1007/s11263-017-1024-8 [pdf]

[009] L. Chen, B. Keller, S. Pertuz, S. Ray, D. Kontos, The Impact of Acquisition Dose on Quantitative Breast Density Estimation with Digital Mammography: Results from ACRIN PA 4006, Radiology, 280(3):693-700 , 2016. DOI:10.1148/radiol.2016151749

[008] S. Pertuz, E. McDonald, S. Weinstein, E. Conant, D. Kontos., Fully-automated quantitative estimation of volumetric breast density from digital breast tomosynthesis images, Radiology, 279(1): 65-74, 2015. DOI:10.1148/radiol.2015150277

[007] C. Nurra, L. Pitol, R. Carraud, S. Pertuz, D. Puig, M. A. Garcia, J. Salvado, C. Torras, Toward the prediction of porous membrane permeability from morphological data, Polymer Engineering & Science, 56(1): 118-124, 2016. DOI:10.1002/pen.24198

[006 ] S. Pertuz, M. A. Garcia, D. Puig, Efficient focus sampling through depth-of-field calibration, International Journal of Computer Vision, 112:342-353, 2015. DOI:10.1007/s11263-014-0770-0 [pdf]

[005] S. Pertuz, M. A. Garcia, D. Puig, Focus-aided, scene segmentation, Computer Vision and Image Understanding, 133:66-75, 2015. DOI:10.1016/j.cviu.2014.09.009 [pdf]

[004] S. Pertuz, M. A. Garcia, D. Puig, Reliability measure for shape-from-focus, Image and Vision Computing, 31(10), pp. 725-734, 2013. DOI:10.1016/j.imavis.2013.07.005 [pdf]

[003] S. Pertuz, D. Puig, M. A. Garcia, A. Fusiello, Generation of all-in-focus images through noise-robust selective fusion of limited depth-of-field images, IEEE Transactions on Image Processing, 22(3), pp. 1242-1251, 2013. DOI:10.1109/TIP.2012.2231087 [pdf]

[002] S. Pertuz, D. Puig, M. A. Garcia, Analysis of focus measure operators in shape-from-focus, Pattern Recognition, 46(5), pp. 1415-1432, 2011. DOI:10.1016/j.patcog.2012.11.011 [pdf]

[001] S. Pertuz, H. R. Ibañez, Sistema de Adquisición Automática de Imagenes para Microscopio Óptico, Ingeniería & Desarrollo, 22, pp. 23-27, 2007. [pdf]

Conference proceedings

[013] G. F. Torres, A. Sassi, O. Arponen, K. Holli-Helenius, A. L. Laaperi, I. Rinta-Kiikka, J. Kamarainen, Morphological Area Gradient: System-independent dense tissue segmentation in mammography images, IEEE Engineering in Biology and Medicine Conference, 2019 (accepted) [pdf]

[012] S. Pertuz, A. Sassi, O. Arponen, K. Holli-Helenius, A. L. Laaperi, I. Rinta-Kiikka, Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis? IEEE Engineering in Biology and Medicine Conference, 2019 (accepted) [pdf]

[011] S. Pertuz, G. F. Torres, R. Tamimi, J. Kamarainen, Open Framework for Mammography-based Breast Cancer Risk Assessment, IEEE-EMBS International Conference on Biomedical and Health Informatics, 2019 (accepted) [pdf]

[010] O. Araque, M. P. Mejia-Sandoval, A. Sassi, K. Holli-Hellenius, A. L. Laaperi, I. Rinta-Kiikka, O. Arponen, S. Pertuz, Selecting the Mammographic-View for the Parenchymal Analysis-Based Breast Cancer Risk Assessment, IEEE-EMBS International Conference on Biomedical and Health Informatics, 2019 (accepted) [pdf]

[009] Y. Qian, S. Pertuz, J. Nikkanen, J.K. Kamarainen, J. Matas, Rivisiting Gray Pixel for Statistical Illumination Estimation, Int. Conf. Computer Vision Theory and Applications VISSAP, 2019. [pdf]

[008] A. Ainasoja, S. Pertuz, J. K. Kamarainen, J. Matas, Smartphone Teleoperation for Self-Balancing Telepresence Robots, Int. Conf. Computer Vision Theory and Applications VISSAP 2019.

[007] S. Pertuz, J. Kamarainen, Region-based depth recovery for highly sparse depth maps, IEEE International Conference on Image Processing ICIP 2017, pp. 2074-2078. DOI: 10.1109/ICIP.2017.8296647 [pdf]

[006] M. Marquez, N. Diaz, J. Bacca, S. Pertuz, H. Arguello, Compressive light field spectral imaging in a single-sensor device by using coded apertures, proc. OSA Imaging and Applied Optics 2017. DOI:10.1364/COSI.2017.CTh1B.5

[005] G. F. Torres, S. Pertuz, Automatic Detection of the Retroareolar Region in Mammograms, Proc. Latin American Congress on Biomedical Engineering CLAIB 2016, pp. 157-160. DOI:10.1007/978-981-10-4086-3_40 [pdf]

[004] S. Pertuz, J. I. Torres, The impact of MOOCs on the Performance of Undergraduate Students in Digital Signal Processing, Proc. Symposium on Signal Processing, Images and Artificial Vision STSIVA 2016, pp. 1-7. DOI:10.1109/STSIVA.2016.7743356. [pdf]

[003] J. Santamaria, M. A. Marquez, S. Pertuz, A method for improving depth estimation in light field images, Proc. Symposium on Signal Processing, Images and Artificial Vision STSIVA 2016, pp. 1-7. DOI:10.1109/STSIVA.2016.7743342

[002] S. Pertuz, C. Julia, D. Puig, A novel mammography image representation framework with application to image registration, Proc. International Conference on Pattern Recognition ICPR 2014, pp. 3292-3297. DOI:10.1109/ICPR.2014.567 [pdf]

[001] S. Pertuz, D. Puig, M. A. Garcia, Improving Shape-from-focus by compensating for image magnification shift, International Conference on Pattern Recognition ICPR 2010, pp. 802-805. Istanbul, Turkey, August 2010. DOI:10.1109/ICPR.2010.202 [pdf]