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"Nonlinear despeckle filtering", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
"A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
"Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, issue 10, pp. 2015-2029, 2017.
"Non-Rigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-Hold Cardiac Cine MRI", Magnetic Resonance in Medicine, 2015.
"Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
"Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
"Noise estimation in magnetic resonance SENSE reconstructed data", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 1104–1107, 2013.
"Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)", Medical engineering & physics, vol. 34, no. 9: Elsevier, pp. 1317–1329, 2012.
"Noise estimation in MR GRAPPA reconstructed data", Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on: IEEE, pp. 1815–1818, 2011.
"A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
"NURBS for the geometrical modeling of a new family of Compact-Supported Radial Basis Functions for elastic registration of medical images", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5947–5950, 2010.
"Noise-driven anisotropic diffusion filtering of MRI", Image Processing, IEEE Transactions on, vol. 18, no. 10: IEEE, pp. 2265–2274, 2009.
"Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models", Magnetic resonance imaging, vol. 27, no. 10: Elsevier, pp. 1397–1409, 2009.
"Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.
"Neural Network-Assisted Fiber Tracking of Synthetic and White Matter DT-MR Images.", World Congress on Engineering, pp. 618–623, 2007.
"A new proposal for 3D fiber tracking in synthetic diffusion tensor magnetic resonance images", Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on: IEEE, pp. 1–4, 2007.
"A new method for fiber tractography in diffusion tensor magnetic resonance images", Proc. of the IEEE Int’l Conf. on Signal and Image Processing, ICSIP, vol. 6, pp. 380–385, 2006.
"Neural network fusion strategies for identifying breast masses", IEEE International Conference on Neural Networks - Conference Proceedings, Budapest, 2004.
"A novel Markovian formulation of the correspondence problem in stereo vision", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 34, no. 3: IEEE, pp. 428–436, 2004.
"Neural posterior probabilities for microcalcification detection in breast cancer diagnoses", Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on: IEEE, pp. 660–663, 2003.
"A novel Gauss-Markov random field approach for regularization of diffusion tensor maps", Computer Aided Systems Theory-EUROCAST 2003: Springer Berlin Heidelberg, pp. 506–517, 2003.
"A neural architecture for bone age assessment", Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition & Applications, pp. 161–166, 2002.
"Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
"Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
"A novel error criterion for multiresolution volume data compression", [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint, vol. 2: IEEE, pp. 1159–vol, 1999.