Md. Shibly Sadique

13 papers Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Functional brain network identification in opioid use disorder using machine learning analysis of resting-state fMRI BOLD signals.
Comput. Biol. Medicine
Ahmed G. Temtam, Megan A. Witherow, Liangsuo Ma, Md. Shibly Sadique, F. Gerard Moeller, Khan M. Iftekharuddin
2024 J jnl
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction.
IEEE J. Biomed. Health Informatics
Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin
2024 J jnl
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals.
CoRR
Ahmed G. Temtam, Megan A. Witherow, Liangsuo Ma, Md. Shibly Sadique, F. Gerard Moeller, Khan M. Iftekharuddin
2023 J jnl
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction.
CoRR
Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin
2023 — conf
Brain Tumor Segmentation: Glioma Segmentation in Sub-Saharan Africa Patients Using nnU-Net.
BraTS/CrossMoDA@MICCAI
Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Alexander M. Glandon, Ahmed G. Temtam, Khan M. Iftekharuddin
2023 — conf
Class activation mapping and uncertainty estimation in multi-organ segmentation.
Computer-Aided Diagnosis
Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin
2023 — conf
Local Synthesis of Healthy Brain Tissue Using an Enhanced 3D Pix2Pix Model for Medical Image Inpainting.
BraTS/CrossMoDA@MICCAI
Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Alexander M. Glandon, Ahmed G. Temtam, Khan M. Iftekharuddin
2023 — conf
Opioid use disorder prediction using machine learning of fMRI data.
Computer-Aided Diagnosis
Ahmed G. Temtam, Liangsuo Ma, F. Gerard Moeller, Md. Shibly Sadique, Khan M. Iftekharuddin
2023 — conf
Pediatric Brain Tumor Segmentation Using Multiresolution Fractal Deep Neural Network.
BraTS/CrossMoDA@MICCAI
Ahmed G. Temtam, Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Khan M. Iftekharuddin
2022 — conf
Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network.
BrainLes@MICCAI
Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin
2022 — conf
Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI.
Computer-Aided Diagnosis
Md. Shibly Sadique, Ahmed G. Temtam, E. Lappinen, Khan M. Iftekharuddin
2021 — conf
Brain Tumor Segmentation Using UNet-Context Encoding Network.
BrainLes@MICCAI (1)
Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin
2021 — conf
Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters.
BrainLes@MICCAI (2)
Walia Farzana, Ahmed G. Temtam, Zeina A. Shboul, Md Monibor Rahman, Md. Shibly Sadique, Khan M. Iftekharuddin