Ahmed G. Temtam

According to our database1, Ahmed G. Temtam authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction.
IEEE J. Biomed. Health Informatics, October, 2024

Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals.
CoRR, 2024

2023
Exploring Spectrum Sensing Techniques in Cognitive Radio Systems Using Time-Domain Symbol Cross-correlation.
CoRR, 2023

Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation.
CoRR, 2023

Pediatric Brain Tumor Segmentation Using Multiresolution Fractal Deep Neural Network.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Brain Tumor Segmentation: Glioma Segmentation in Sub-Saharan Africa Patients Using nnU-Net.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Local Synthesis of Healthy Brain Tissue Using an Enhanced 3D Pix2Pix Model for Medical Image Inpainting.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

Opioid use disorder prediction using machine learning of fMRI data.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Class activation mapping and uncertainty estimation in multi-organ segmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Brain Tumor Segmentation Using UNet-Context Encoding Network.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2014
Using OFDM pilot tones for spectrum sensing with applications to mobile WiMAX.
Proceedings of the 2014 IEEE Radio and Wireless Symposium, 2014

Using OFDM pilot tone information to detect active 4G LTE transmissions.
Proceedings of the 10th International Conference on Communications, 2014


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