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Documents dont l'auteur est "Shakeri, Mahsa"

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Nombre de documents: 13

Article de revue

Kohyarnejadfard, I., Aloise, D., Dagenais, M., & Shakeri, M. (2021). A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis. Entropy, 23(8), 1011 (24 pages). Lien externe

Nemati, H., Azhari, S. V., Shakeri, M., & Dagenais, M. (2021). Host-Based Virtual Machine Workload Characterization Using Hypervisor Trace Mining. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 6(1), 1-25. Lien externe

Drozdzal, M., Chartrand, G., Vorontsov, E., Shakeri, M., Di Jorio, L., Tang, A., Romero, A., Bengio, Y., Pal, C. J., & Kadoury, S. (2018). Learning normalized inputs for iterative estimation in medical image segmentation. Medical Image Analysis, 44, 1-13. Lien externe

Shakeri, M., Datta, A. N., Malfait, D., Oser, N., Létourneau-Guillon, L., Major, P., Srour, M., Tucholka, A., Kadoury, S., & Lippé, S. (2017). Sub-cortical brain morphometry and its relationship with cognition in rolandic epilepsy. Epilepsy Research, 138(Supplement), 39-45. Lien externe

Shakeri, M., Lombaert, H., Datta, A. N., Oser, N., Létourneau-Guillon, L., Lapointe, L. V., Martin, F., Malfait, D., Tucholka, A., Lippé, S., & Kadoury, S. (2016). Statistical shape analysis of subcortical structures using spectral matching. Computerized Medical Imaging and Graphics, 52, 58-71. Lien externe

Communication écrite

Kohyarnejadfard, I., Shakeri, M., & Aloise, D. (avril 2019). System performance anomaly detection using tracing data analysis [Communication écrite]. 5th International Conference on Computer and Technology Applications (ICCTA 2019), Istanbul, Turkey. Lien externe

Shakeri, M., Nahle, I., Finley, E., & Kadoury, S. (avril 2018). Inter-vertebral disk modelling from pairs of segmented vertebral models using trainable pre-processing networks [Communication écrite]. 15th IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C.. Lien externe

Tripathi, S., Nozadi, S. H., Shakeri, M., & Kadoury, S. (avril 2017). Sub-cortical shape morphology and voxel-based features for Alzheimer's disease classification [Communication écrite]. 14th IEEE International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia. Lien externe

Shakeri, M., Lombaert, H., Tripathi, S., & Kadoury, S. (octobre 2016). Deep spectral-based shape features for Alzheimers disease classification [Communication écrite]. 1st International Workshop on Spectral and Shape Analysis in Medical Imaging (SeSAMI 2016), Athens, Greece. Lien externe

Shakeri, M., Ferrante, E., Tsogkas, S., Lippé, S., Kadoury, S., Kokkinos, I., & Paragios, N. (octobre 2016). Prior-based coregistration and cosegmentation [Communication écrite]. 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), Athens, Greece. Lien externe

Shakeri, M., Lombaert, H., & Kadoury, S. (juillet 2015). Classification of Alzheimer's Disease Using Discriminant Manifolds of Hippocampus Shapes [Communication écrite]. 1st International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), Lille, France. Lien externe

Shakeri, M., Lombaert, H., Lippé, S., & Kadoury, S. (février 2014). Groupwise shape analysis of the hippocampus using spectral matching [Communication écrite]. SPIE Medical Imaging, San Diego, California, United States. Lien externe

Thèse de doctorat

Shakeri, M. (2016). Analysis of Sub-Cortical Morphology in Benign Epilepsy with Centrotemporal Spikes [Thèse de doctorat, École Polytechnique de Montréal]. Disponible

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