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ORCIDMd Monibor Rahman
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2020 – today
- 2024
[j2]Md Monibor Rahman
, Adam Carpenter, Khan M. Iftekharuddin, Chris Tennant:
Accelerating cavity fault prediction using deep learning at Jefferson Laboratory. Mach. Learn. Sci. Technol. 5(3): 35078 (2024)- [i2]Md Monibor Rahman, Adam Carpenter, Khan Iftekharuddin, Chris Tennant:
Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory. CoRR abs/2404.15829 (2024) - 2023
- [c7]Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin:
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. IJCNN 2023: 1-7 - 2022
- [c6]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 - 2021
- [j1]Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova:
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers Artif. Intell. 4: 718950 (2021) - [c5]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 - [c4]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 - [i1]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [c3]Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin:
Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c2]Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin:
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. BrainLes@MICCAI (2) 2019: 73-81 - [c1]Linmin Pei, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin:
Brain Tumor Classification Using 3D Convolutional Neural Network. BrainLes@MICCAI (2) 2019: 335-342
Coauthor Index
aka: Khan Iftekharuddin
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