Mahmood Qaiser

Visar 16 publikationer

2017

ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

O. Maier, Bjoern H. Menze, J. von der Gablentz et al
Medical Image Analysis. Vol. 35, p. 250-269
Artikel i vetenskaplig tidskrift
2016

Automatic ischemic stroke lesion segmentation in multi-spectral MRI images using random forests classifier

Mahmood Qaiser, A. Basit
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), p. 266-274
Kapitel i bok
2015

Automated MRI brain tissue segmentation based on mean shift and fuzzy c-means using a priori tissue probability maps

Mahmood Qaiser, Artur Chodorowski, Mikael Persson
IRBM. Vol. 36 (3), p. 185-196
Artikel i vetenskaplig tidskrift
2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

A. M. Mendrik, K. L. Vincken, H. J. Kuijf et al
Computational Intelligence and Neuroscience, p. 813696-
Artikel i vetenskaplig tidskrift
2015

A Comparative Study of Automated Segmentation Methods for Use in a Microwave Tomography System for Imaging Intracerebral Hemorrhage in Stroke Patients

Mahmood Qaiser, Shaochuan Li, Andreas Fhager et al
Journal of Electromagnetic Analysis and Applications. Vol. 7, p. 152-167
Artikel i vetenskaplig tidskrift
2014

A fully automatic unsupervised segmentation framework for the brain tissues in MR images

Mahmood Qaiser, Artur Chodorowski, B. Ehteshami Bejnordi et al
Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9038
Paper i proceeding
2014

Unsupervised Segmentation of Head Tissues from Multi-modal MR Images for EEG Source Localization

Mahmood Qaiser, Artur Chodorowski, Andrew Mehnert et al
Journal of Digital Imaging. Vol. 28 (4), p. 499-514
Artikel i vetenskaplig tidskrift
2014

Particle Swarm Optimization Applied to EEG Source Localization of Somatosensory Evoked Potentials

Yazdan Shirvany, Mahmood Qaiser, Johan Carlson et al
IEEE Transactions on Neural Systems and Rehabilitation Engineering. Vol. 22 (1), p. 11-20
Artikel i vetenskaplig tidskrift
2013

Multi-modal MR Brain Segmentation Using Bayesian-based Adaptive MeanShift (BAMS)

Mahmood Qaiser, Mohammad Alipoor, Artur Chodorowski et al
MICCAI Grand Challenge on MR Brain Image Segmentation
Paper i proceeding
2013

On the Fully Automatic Construction of a Realistic Head Model for EEG Source Localization

Mahmood Qaiser, Yazdan Shirvany, Artur Chodorowski et al
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, p. 3331-3334
Paper i proceeding
2012

A novel Bayesian approach to adaptive mean shift segmentation of brain images

Mahmood Qaiser, Artur Chodorowski, Andrew Mehnert et al
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Paper i proceeding
2012

Investigation of brain tissue segmentation error and its effect on EEG source localization

Yazdan Shirvany, Antonio Reyes Porras Péres, Koushyar Kowkabzadeh et al
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, p. 1522-1525
Paper i proceeding
2012

Non-invasive EEG source localization using particle swarm optimization: A clinical experiment

Yazdan Shirvany, Johan Carlson, Stefan Jakobsson et al
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, p. 6232-6235
Paper i proceeding
2011

Advances in Neuro Diagnostic based on Microwave Technology, Transcranial Magnetic Stimulation and EEG source localization

Mikael Persson, Tomas McKelvey, Andreas Fhager et al
Asia Pacific Microwave Conference, (APMC 2011;Melbourne, VIC; 5 - 8 December 2011), p. 469-472
Paper i proceeding

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