| Comparison of level set models in image segmentation R Rahmat, D Harris-Birtill IET Image Processing, 2018 | 20 | 2018 |
| 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, 3067-3080, 2020 | 18 | 2020 |
| 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 | 18 | 2020 |
| 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 | 14 | 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 | 12* | 2011 |
| 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 | 11 | 2013 |
| Shape from Focus Using Lulu Operators and Discrete Pulse Transform in the Presence of Noise R Rahmat Universiti Teknologi PETRONAS, 2011 | 11 | 2011 |
| 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 | 9 | 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 | 6 | 2017 |
| 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 | 6 | 2012 |
| Principle subspace-based signature verification technique R Rahmat, NS Kamel, N Yahya 2009 Innovative Technologies in Intelligent Systems and Industrial …, 2009 | 4 | 2009 |
| 3D shape from focus using LULU operators R Rahmat, AS Mallik, N Kamel, TS Choi, MH Hayes Advanced Concepts for Intelligent Vision Systems: 14th International …, 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 |
| 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, ... Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | 2 | 2021 |
| 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 | 2 | 2020 |
| New level set model in follow up radiotherapy image analysis R Rahmat, WH Nailon, A Price, D Harris-Birtill, S McLaughlin Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 2 | 2017 |
| Principle Subspace-Based Signature Verification Technique R Roushanak, N Kamel, N Yahya Innovative Technologies in Intelligent Systems and Industrial Applications …, 2009 | 1 | 2009 |
| Techniques for processing cbct projections JH Mason, J Stancanello, ME Lachaine, R Rahmat US Patent App. 18/157,524, 2024 | | 2024 |
| Techniques for removing scatter from cbct projections JH Mason, J Stancanello, ME Lachaine, R Rahmat US Patent App. 18/157,504, 2024 | | 2024 |
| Techniques for adaptive radiotherapy based on cbct projection correction and reconstruction JH Mason, J Stancanello, ME Lachaine, R Rahmat US Patent App. 18/157,531, 2024 | | 2024 |