Items where Author is "Alsaih, K."

Ravichandran, T. and Kamel, N. and Al-Ezzi, A.A. and Alsaih, K. and Yahya, N. (2021) Electrooculography-based Eye Movement Classification using Deep Learning Models. In: UNSPECIFIED.

Khan, Z. and Yahya, N. and Alsaih, K. and Al-Hiyali, M.I. and Meriaudeau, F. (2021) Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review. IEEE Access, 9. pp. 97878-97905.

Khan, Z. and Yahya, N. and Alsaih, K. and Al-Hiyali, M.I. and Meriaudeau, F. (2021) Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review. IEEE Access, 9. pp. 97878-97905.

Al-Ezzi, A. and Yahya, N. and Kamel, N. and Faye, I. and Alsaih, K. and Gunaseli, E. (2021) Severity Assessment of Social Anxiety Disorder Using Deep Learning Models on Brain Effective Connectivity. IEEE Access, 9. pp. 86899-86913.

Al-Ezzi, A. and Yahya, N. and Kamel, N. and Faye, I. and Alsaih, K. and Gunaseli, E. (2021) Severity Assessment of Social Anxiety Disorder Using Deep Learning Models on Brain Effective Connectivity. IEEE Access, 9. pp. 86899-86913.

Al-Ezzi, A. and Yahya, N. and Kamel, N. and Faye, I. and Alsaih, K. and Gunaseli, E. (2021) Severity Assessment of Social Anxiety Disorder using Deep Learning Models on Brain Effective Connectivity. IEEE Access.

Al-Ezzi, A. and Yahya, N. and Kamel, N. and Faye, I. and Alsaih, K. and Gunaseli, E. (2021) Social Anxiety Disorder Evaluation using Effective Connectivity Measures: EEG Phase Slope Index Study. In: UNSPECIFIED.

Al-Ezzi, A. and Yahya, N. and Kamel, N. and Faye, I. and Alsaih, K. and Gunaseli, E. (2021) Social Anxiety Disorder Evaluation using Effective Connectivity Measures: EEG Phase Slope Index Study. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Mériaudeau, F. (2020) Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans. Computer Methods and Programs in Biomedicine, 195.

Khan, Z. and Yahya, N. and Alsaih, K. and Ali, S.S.A. and Meriaudeau, F. (2020) Evaluation of deep neural networks for semantic segmentation of prostate in T2W MRI. Sensors (Switzerland), 20 (11). pp. 1-17.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Performance Evaluation of Convolutions and Atrous Convolutions in Deep Networks for Retinal Disease Segmentation on Optical Coherence Tomography Volumes. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Faye, I. and Tang, T.B. and Meriaudeau, F. (2020) Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks. IEEE Access, 8. pp. 152452-152464.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: UNSPECIFIED.

Khan, Z. and Yahya, N. and Alsaih, K. and Meriaudeau, F. (2019) Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network. In: UNSPECIFIED.

Khan, Z. and Yahya, N. and Alsaih, K. and Meriaudeau, F. (2019) Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network. In: UNSPECIFIED.