Mahmood Qaiser

Publications (16)
Projects (0)

Showing 16 publications

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

Journal article

2016

Unsupervised Segmentation of Head Tissues from Multi-Modal Magnetic Resonance Images: With Application to EEG Source Localization and Stroke Detection

Mahmood Qaiser

Doctoral thesis

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). Vol. 9556, p. 266-274

Paper in proceeding

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. Vol. 2015

Journal article

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

Journal article

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

Journal article

2015

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

Journal article

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 in proceeding

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

Journal article

2013

Automated Patient-Specific Multi-tissue Segmentation of MR Images of the Head

Mahmood Qaiser

Licentiate thesis

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 in proceeding

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 in 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 in 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 in 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 in 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 in proceeding

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