| 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 | 13 | 2013 |
| Shape from Focus Using Lulu Operators and Discrete Pulse Transform in the Presence of Noise R Rahmat Universiti Teknologi PETRONAS, 2011 | 13 | 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 | 13 | 2009 |
| Comparison of level set models in image segmentation R Rahmat, D Harris-Birtill IET Image Processing, 2018 | 12 | 2018 |
| 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 | 9* | 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 | 5 | 2012 |
| 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 | 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 | 3 | 2011 |
| Principle subspace-based signature verification technique R Rahmat, NS Kamel, N Yahya 2009 Innovative Technologies in Intelligent Systems and Industrial …, 2009 | 3 | 2009 |
| Principle Subspace-Based Signature Verification Technique R Roushanak, N Kamel, N Yahya Innovative Technologies in Intelligent Systems and Industrial Applications …, 2009 | 2 | 2009 |
| 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 | 1 | 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 | 1 | 2020 |
| 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 | 1 | 2017 |
| Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings MV Hernández, V González-Castro Springer, 2017 | 1 | 2017 |
| 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 |
