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ORCIDMd. Shibly Sadique
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2020 – today
- 2023
[c6]Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin:
Class activation mapping and uncertainty estimation in multi-organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2023- [c5]Ahmed G. Temtam, Liangsuo Ma, F. Gerard Moeller, Md. Shibly Sadique, Khan M. Iftekharuddin:
Opioid use disorder prediction using machine learning of fMRI data. Medical Imaging: Computer-Aided Diagnosis 2023 - [i1]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) - 2022
- [c4]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 - [c3]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. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [c2]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 - [c1]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
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