Mahmood Qaiser

PhD student, Signals and Systems

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Qaiser Mahmood is a PhD student in the Imaging and image analysis research group. His research is in the field of medical image analysis, in the areas of image processing, computer vision and pattern recognition. Qaiser participates in a project on patient specific brain segmentation with two applications; a model for EEG source localization and a model for hyperthermia treatment.
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Selected publications

1. Qaiser Mahmood, Artur Chodorowski, Mikael Persson : A Novel Bayesian to Adaptive Mean Shift Segmentation of Brain MR Images, Department of Signals and Systems, MedTech West, Chalmers University of Technology, Sweden (Submitted to IEEE International Symposium on Biomedical Imaging (ISBI) 2012)

2. Qaiser Mahmood, Artur Chodorowski, Mikael Persson: Adaptive Segmentation of Brain Tissues from MR Images, Proceedings of Medicinteknikdagarna 2011, pp.86.

3. Qaiser Mahmood, Mats Andersson and Hans Knutsson: 2D Loglets Filtering Image Enhancement, Proceedings SSBA 2009,  pp.121-124

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