Improved training of cellular SRN using Unscented Kaiman Filtering for ADP. - Lasitha Vidyaratne; Mahbubul Alam; John K. Anderson; Khan M. Iftekharuddin (IJCNN, 2014)

Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2015)

Efficient feature extraction with simultaneous recurrent network for metric learning. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2016)

Deep recurrent neural network for seizure detection. - Lasitha Vidyaratne; Alexander Glandon; Mahbubul Alam; Khan M. Iftekharuddin (IJCNN, 2016)

Constrained versus unconstrained learning in generalized recurrent network for image processing. - Lasitha Vidyaratne; Mahbubul Alam; John K. Anderson; Khan M. Iftekharuddin (IJCNN, 2017)

Glioblastoma and Survival Prediction. - Zeina A. Shboul; Lasitha Vidyaratne; Mahbubul Alam; Khan M. Iftekharuddin (BrainLes@MICCAI, 2017)

Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot. - D. Bussey; Alexander Glandon; Lasitha Vidyaratne; Mahbubul Alam; Khan M. Iftekharuddin (SSCI, 2017)

Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IJCNN, 2018)

Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. - Alexander Glandon; Sharif Ullah; Lasitha Vidyaratne; Mahbubul Alam; C. Xin; Khan M. Iftekharuddin (IJCNN, 2018)

Deep learning and texture-based semantic label fusion for brain tumor segmentation. - Lasitha Vidyaratne; Mahbubul Alam; Zeina A. Shboul; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2018)

Glioblastoma Survival Prediction. - Zeina A. Shboul; Mahbubul Alam; Lasitha Vidyaratne; Linmin Pei; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2018)

Novel deep generative simultaneous recurrent model for efficient representation learning. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (Neural Networks, 2018)

Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. - Mahbubul Alam; Lasitha Vidyaratne; Khan M. Iftekharuddin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Brain Tumor Classification Using 3D Convolutional Neural Network. - Linmin Pei; Lasitha Vidyaratne; Wei-Wen Hsu; Md Monibor Rahman; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Zeina A. Shboul; Khan M. Iftekharuddin (BrainLes@MICCAI (2), 2019)

3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. - Alexander Glandon; Lasitha Vidyaratne; Nasrin Sadeghzadehyazdi; Nibir K. Dhar; Jide O. Familoni; Scott T. Acton; Khan M. Iftekharuddin (IJCNN, 2019)

Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. - Linmin Pei; Lasitha Vidyaratne; Md Monibor Rahman; Khan M. Iftekharuddin (Computer-Aided Diagnosis, 2020)

Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. - Chris Tennant; Adam Carpenter; Tom Powers; Anna Shabalina Solopova; Lasitha Vidyaratne; Khan Iftekharuddin (CoRR, 2020)

Survey on Deep Neural Networks in Speech and Vision Systems. - Mahbubul Alam; Manar D. Samad; Lasitha Vidyaratne; Alexander Glandon; Khan M. Iftekharuddin (Neurocomputing, 2020)

Deep Cellular Recurrent Neural Architecture for Efficient Multidimensional Time-Series Data Processing. - Lasitha Vidyaratne (2020)

Brain Tumor Segmentation Using UNet-Context Encoding Network. - Md Monibor Rahman; Md. Shibly Sadique; Ahmed G. Temtam; Walia Farzana; Lasitha Vidyaratne; Khan M. Iftekharuddin (BrainLes@MICCAI (1), 2021)

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. - Dustin Carrión-Ojeda; Mahbubul Alam; Sergio Escalera; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001; Isabelle Guyon; Joël Roman Ky; Xian Yeow Lee; Xin Liu; Felix Mohr; et al. (NeurIPS (Competition and Demos), 2021)

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. - Lasitha Vidyaratne; Mahbubul Alam; Alexander Glandon; Anna Shabalina Solopova; Christopher Tennant; Khan Iftekharuddin (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - 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; et al. (CoRR, 2021)

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. - Lasitha Vidyaratne; Adam Carpenter; Tom Powers; Chris Tennant; Khan M. Iftekharuddin; Md Monibor Rahman; Anna Shabalina Solopova (Frontiers Artif. Intell., 2021)

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. - Majdi I. Radaideh; Chris Pappas; Jared Walden; Dan Lu 001; Lasitha Vidyaratne; Thomas Britton; Kishansingh Rajput; Malachi Schram; Sarah Cousineau (Digit. Signal Process., 2022)

Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. - Lasitha Vidyaratne; Mahbubul Alam; Alexander Glandon; Anna Shabalina; Chris Tennant; Khan M. Iftekharuddin (IEEE Trans. Neural Networks Learn. Syst., 2022)

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. - Xian Yeow Lee; Lasitha Vidyaratne; Mahbubul Alam; Ahmed K. Farahat; Dipanjan Ghosh; Maria Teresa Gonzalez Diaz; Chetan Gupta 001 (CVPR Workshops, 2023)

An ensemble of convolution-based methods for fault detection using vibration signals. - Xian Yeow Lee; Aman Kumar; Lasitha Vidyaratne; Aniruddha Rajendra Rao; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2023)

Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. - Md Monibor Rahman; Lasitha Vidyaratne; Adam Carpenter; Chris Tennant; Khan M. Iftekharuddin (IJCNN, 2023)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM). - Lasitha Vidyaratne; Huijuan Shao; Tsubasa Watanabe; Ahmed K. Farahat; Chetan Gupta 001 (ICPHM, 2025)

Exploring LLM-based Frameworks for Fault Diagnosis. - Xian Yeow Lee; Lasitha Vidyaratne; Ahmed K. Farahat; Chetan Gupta 001 (CoRR, 2025)