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ORCIDAhmed G. Temtam
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2020 – today
- 2024
[j1]Md. Shibly Sadique
, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin:
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. IEEE J. Biomed. Health Informatics 28(10): 5685-5695 (2024)- [i4]Ahmed G. Temtam, Megan A. Witherow, Liangsuo Ma, Md. Shibly Sadique, F. Gerard Moeller, Khan M. Iftekharuddin:
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals. CoRR abs/2410.19147 (2024) - 2023
- [c9]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Class activation mapping and uncertainty estimation in multi-organ segmentation. Computer-Aided Diagnosis 2023 - [c8]Ahmed G. Temtam, Liangsuo Ma, F. Gerard Moeller, Md. Shibly Sadique, Khan M. Iftekharuddin:
Opioid use disorder prediction using machine learning of fMRI data. Computer-Aided Diagnosis 2023 - [i3]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin:
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. CoRR abs/2306.03270 (2023) - [i2]Ahmed G. Temtam, L. Pei, Khan Iftekharuddin:
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation. CoRR abs/2306.04754 (2023) - [i1]Ahmed G. Temtam, Dimitrie Popescu:
Exploring Spectrum Sensing Techniques in Cognitive Radio Systems Using Time-Domain Symbol Cross-correlation. CoRR abs/2310.10777 (2023) - 2022
- [c7]Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network. BrainLes@MICCAI 2022: 205-215 - [c6]Walia Farzana, Zeina A. Shboul, Ahmed G. Temtam, Khan M. Iftekharuddin:
Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients. Computer-Aided Diagnosis 2022 - [c5]Md. Shibly Sadique, Ahmed G. Temtam, E. Lappinen, Khan M. Iftekharuddin:
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI. Computer-Aided Diagnosis 2022 - 2021
- [c4]Walia Farzana, Ahmed G. Temtam, Zeina A. Shboul, Md Monibor Rahman, Md. Shibly Sadique, Khan M. Iftekharuddin:
Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters. BrainLes@MICCAI (2) 2021: 357-366 - [c3]Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) 2021: 463-472
2010 – 2019
- 2014
- [c2]Ahmed G. Temtam, Dimitrie C. Popescu, Otilia Popescu:
Using OFDM pilot tone information to detect active 4G LTE transmissions. COMM 2014: 1-4 - [c1]Ahmed G. Temtam, Dimitrie C. Popescu:
Using OFDM pilot tones for spectrum sensing with applications to mobile WiMAX. RWS 2014: 232-234
Coauthor Index
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