Selected Articles (with Pre-prints) Medical Imaging/ Diffusion MRI [Neuroimage 2018] P. K. Pisharady, S. N. Sotiropoulos, J. M. Duarte-Carvajalino, G. Sapiro, and C. Lenglet, Estimation of White Matter Fiber Parameters from Compressed Multiresolution Diffusion MRI using Sparse Bayesian Learning, Neuroimage, vol. 167, pp. 488-503, 2018. The final publication is available at Elsevier via https://doi.org/10.1016/j.neuroimage.2017.06.052 [MICCAI 2017] P. K. Pisharady, S. N. Sotiropoulos, G. Sapiro, and C. Lenglet, A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI, International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2017. [OHBM 2016] P. K. Pisharady, K. LaFleur, D. Walk, and C. Lenglet, Assessment of Neurodegeneration in ALS using Diffusion MRI, 22nd Annual Meeting of the Organization for Human Brain Mapping, OHBM 2016, Geneva, Switzerland. [OHBM 2016] P. K. Pisharady, J. M. Duarte-Carvajalino, S. N. Sotiropoulos, G. Sapiro and C. Lenglet, Sparse Bayesian Learning based Estimation of White Matter Fiber Parameters from Compressed dMRI, 22nd Annual Meeting of the Organization for Human Brain Mapping, OHBM 2016, Geneva, Switzerland. [OHBM 2016] P. K. Pisharady, W. Zhang, M. Frost and C. Lenglet, Tuberous Sclerosis Complex: Neurodevelopmental Assessment with Diffusion MRI and MEG/MSI, 22nd Annual Meeting of the Organization for Human Brain Mapping, OHBM 2016, Geneva, Switzerland. [MICCAI 2015] P. K. Pisharady, J. M. Duarte-Carvajalino, S. N. Sotiropoulos, G. Sapiro, and C. Lenglet, Sparse bayesian inference of white matter fiber orientations from compressed multi-resolution diffusion MRI, International Conference on Medical Image Computing and Computer Assisted Interventions, MICCAI 2015, Springer Lecture Notes in Computer Science, vol. 9349, pp. 117-124, 2015 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24553-9_15 Computer Vision [CVIU 2015] P.K. Pisharady and M. Saerbeck, Recent Methods and Databases in Vision-based Hand Gesture Recognition: A Review, Computer Vision and Image Understanding (CVIU), vol. 141, pp. 152-165, 2015 [ACCVW 2014] P.K. Pisharady and M. Saerbeck, Gesture Recognition Performance Score: A New Metric to Evaluate Gesture Recognition Systems, Asian Conference on Computer Vision, ACCV Workshops 2014, Springer Lecture Notes in Computer Science, vol. 9008, pp 157-173, 2014 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-16628-5_12 [IJCV 2013] P. K. Pisharady, P. Vadakkepat, and L. A. Poh, Attention based detection and recognition of hand postures against complex backgrounds, International Journal of Computer Vision (IJCV), vol.101, no.3, pp.403-419, 2013 The final publication is available at Springer via http://dx.doi.org/10.1007/s11263-012-0560-5 Computational Intelligence [ASOC 2011] P. K. Pisharady, P. Vadakkepat, and L. A. Poh, Fuzzy-Rough discriminative feature selection and classification algorithm, with application to microarray and image datasets, Applied Soft Computing (ASOC), vol.11, no.4, pp.3429-3440, 2011 [IJHR 2010] P. K. Pisharady, P. Vadakkepat, and L. A. Poh, Hand posture and face recognition using a Fuzzy-Rough Approach, International Journal of Humanoid Robotics, vol.7, no.3, pp.331-356, 2010 Book [Springer 2014] P. K. Pisharady, P. Vadakkepat, and L. A. Poh Hand Posture and Face Recognition using Biologically Inspired Approaches Springer 2014  |