Roushanak Rahmat
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Subspace-based signature verification technique using reduced-sensor data glove
R Rahmat, NS Kamel, N Yahya
2009 IEEE Symposium on Industrial Electronics & Applications 1, 83-88, 2009
132009
3D Shape from Focus using LULU Operators and Discrete Pulse Transform in the Presence of Noise
R Rahmat, AS Malik, N Kamel, H Nisar
Journal of Visual Communication and Image Representation, 2013
122013
Shape from Focus Using Lulu Operators and Discrete Pulse Transform in the Presence of Noise
R Rahmat
Universiti Teknologi PETRONAS, 2011
122011
Comparison of level set models in image segmentation
R Rahmat, D Harris-Birtill
IET Image Processing, 2018
82018
Comparison of LULU and Median Filter for Image Denoising
NSK Roushanak Rahmat, Aaamir Saeed Malik
3rd Conference on Signal Acquisition and Processing (ICSAP2011), Singapore …, 2011
7*2011
An overview of LULU operators and discrete pulse transform for image analysis
R Rahmat, AS Malik, I Faye, N Kamel, H Nisar
Imaging Science Journal, 2012
52012
3D shape from focus using LULU operators
R Rahmat, AS Mallik, N Kamel, TS Choi, MH Hayes
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2012
32012
3-D content generation using optical passive reflective techniques
R Rahmat, AS Malik, N Kamel
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 639-642, 2011
32011
Principle subspace-based signature verification technique
R Rahmat, NS Kamel, N Yahya
2009 Innovative Technologies in Intelligent Systems and Industrial …, 2009
32009
Principle Subspace-Based Signature Verification Technique
R Roushanak, N Kamel, N Yahya
Innovative Technologies in Intelligent Systems and Industrial Applications …, 2009
22009
Multi-scale segmentation in GBM treatment using diffusion tensor imaging
R Rahmat, K Saednia, MRHH Khani, M Rahmati, R Jena, SJ Price
Computers in Biology and Medicine, 103815, 2020
12020
Semi-automated construction of patient individualised clinical target volumes for radiotherapy treatment of glioblastoma utilising diffusion tensor decomposition maps
R Rahmat, F Brochu, C Li, R Sinha, SJ Price, R Jena
The British Journal of Radiology 93 (1108), 20190441, 2020
12020
New level set model in follow up radiotherapy image analysis
R Rahmat, WH Nailon, A Price, D Harris-Birtill, S McLaughlin
Annual Conference on Medical Image Understanding and Analysis, 273-284, 2017
12017
Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings
MV Hernández, V González-Castro
Springer, 2017
12017
Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival
Y Wan, R Rahmat, SJ Price
Acta neurochirurgica 162 (12), 3067-3080, 2020
2020
Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation
A Stefani, R Rahmat, D Harris-Birtill
Annual Conference on Medical Image Understanding and Analysis, 43-55, 2020
2020
DTI-MRI Augmentation for GBM Tumour Segmentation
R Rahmat, SJ Price
2019
New Level Set Model in Follow Up Radiotherapy Image Analysis
D Harris-Birtill, S McLaughlin
Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017
2017
Monitoring of Lung Cancer Patients during Radiotherapy Using Combined Texture and Level Set Analysis of CBCT Images
R Rahmat
Heriot-Watt University, 2017
2017
Lung Tumour Segmentation using a Combined Texture and Level Set
R Roushanak, F Yang, N William, ML Stephen
Dundee Medical Image Analysis Workshop, 2015
2015
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Artiklar 1–20