Showing results 7 to 23 of 23
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Issue Date | Title | Author(s) |
2021 | Deep learning assisted MRI guided attenuation correction in PET | Mecheter, Imene |
5-Jan-2021 | Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. | Mecheter, I; Amira, A; Abbod, M; Zaidi, H |
14-Jul-2020 | Deep learning with multiresolution handcrafted features for brain MRI segmentation | Mecheter, I; Abbod, M; Amira, A; Zaidi, H |
2008 | DWT/PCA face recognition using automatic coefficient selection | Nicholl, P; Amira, A |
2011 | Efficient architectures and power modelling of multiresolution analysis algorithms on FPGA | Sazish, Abdul Naser |
2007 | Efficient FPGA implementation and power modelling of image and signal processing IP cores | Chandrasekaran, Shrutisagar |
2010 | Efficient reconfigurable architectures for 3D medical image compression | Afandi, Ahmad |
2012 | FPGA embedded system for ultrasonic non-destructive testing | Zhang, Lei |
2008 | High performance FPGA implementation of the mersenne twister | Chandrasekaran, S; Amira, A |
2010 | Machine learning paradigms for modeling spatial and temporal information in multimedia data mining | Bouchaffra, D; Amira, A; Zhu, C; Chen, CS |
2010 | Machine learning paradigms for modeling spatial and temporal information in multimedia data mining | Bouchaffra, D; Amira, A; Zhu, C; Chen, CS |
20-Jun-2020 | MR images-based attenuation correction of brain PET imaging: Review of literature on machine-learning approaches for segmentation | Mecheter, I; Alic, L; Abbod, M; Amira, A; Ji, J |
2007 | Novel sparse OBC based distributed arithmetic architecture for matrix transforms | Chandrasekaran, S; Amira, A |
2007 | Power modeling and efficient FPGA implementation of FHT for signal processing | Amira, A; Chandrasekaran, S |
2007 | A statistical multiresolution approach for face recognition using structural hidden Markov models | Nicholl, P; Amira, A; Bouchaffra, D; Perrott, RH |
2008 | A statistical multiresolution approach for face recognition using structural hidden Markov models | Nicholl, P; Amira, A; Bouchaffra, D; Perrott, R H |
4-Oct-2023 | Transfer learning from T1‐weighted to T2‐weighted Magnetic resonance sequences for brain image segmentation | Mecheter, I; Abbod, M; Zaidi, H; Amira, A |