Roushanak Rahmat
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Comparison of level set models in image segmentation
R Rahmat, D Harris-Birtill
IET Image Processing, 2018
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
Shape from Focus Using Lulu Operators and Discrete Pulse Transform in the Presence of Noise
R Rahmat
Universiti Teknologi PETRONAS, 2011
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
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
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 123, 103815, 2020
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
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
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
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
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
Principle subspace-based signature verification technique
R Rahmat, NS Kamel, N Yahya
2009 Innovative Technologies in Intelligent Systems and Industrial …, 2009
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
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
Medical image understanding and analysis: 21st annual conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, proceedings
MV Hernández, V González-Castro
Springer, 2017
Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy
R Rahmat, D Harris-Birtill, D Finn, Y Feng, D Montgomery, WH Nailon, ...
Annual Conference on Medical Image Understanding and Analysis, 532-546, 2021
DTI-MRI Augmentation for GBM Tumour Segmentation
R Rahmat, SJ Price
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
Monitoring of Lung Cancer Patients during Radiotherapy Using Combined Texture and Level Set Analysis of CBCT Images
R Rahmat
Heriot-Watt University, 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
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