Md Monibor Rahman

14 papers B 1Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory.
CoRR
Md Monibor Rahman, Adam Carpenter, Khan Iftekharuddin, Chris Tennant
2024 J jnl
Accelerating cavity fault prediction using deep learning at Jefferson Laboratory.
Mach. Learn. Sci. Technol.
Md Monibor Rahman, Adam Carpenter, Khan M. Iftekharuddin, Chris Tennant
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
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
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
2023 B conf
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals.
IJCNN
Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, 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
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 J jnl
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory.
Frontiers Artif. Intell.
Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova
2021 J jnl
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
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
2020 — conf
Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction.
Computer-Aided Diagnosis
Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin
2019 — conf
Brain Tumor Classification Using 3D Convolutional Neural Network.
BrainLes@MICCAI (2)
Linmin Pei, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin
2019 — conf
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning.
BrainLes@MICCAI (2)
Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin