A general prediction model for the detection of ADHD and Autism using structural and functional MRI B Sen, NC Borle, R Greiner, M Brown Plos One, 2018 | 191 | 2018 |
Classification of obsessive-compulsive disorder from resting-state fMRI B Sen, GA Bernstein, T Xu, BA Mueller, MW Schreiner, KR Cullen, ... Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual …, 2016 | 41 | 2016 |
fMRI investigation of response inhibition, emotion, impulsivity, and clinical high-risk behavior in adolescents MRG Brown, JRA Benoit, M Juhás, E Dametto, TT Tse, M MacKay, B Sen, ... Frontiers in systems neuroscience 9, 2015 | 40 | 2015 |
Classification of Adolescent Major Depressive Disorder via Static and Dynamic Connectivity. B Sen, KR Cullen, KK Parhi IEEE Journal of Biomedical and Health Informatics, 2020 | 37 | 2020 |
System and Methods for Heart Rate and Electrocardiogram Extraction from a Spinal Cord Stimulation System R Esteller, D Mahajan, B Sen, T Zhang US Patent 10,974,042, 2021 | 35 | 2021 |
Predicting Biological Gender and Intelligence from fMRI via Dynamic Functional Connectivity B Sen, KK Parhi IEEE Transactions on Biomedical Engineering 68 (3), 815-825, 2021 | 34 | 2021 |
Extraction of Common Task Signals and Spatial Maps from Group fMRI using a PARAFAC-Based Tensor Decomposition Technique B Sen, K Parhi Proc. 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
Ranking Regions, Edges and Classifying Tasks in Functional Brain Graphs by Sub-Graph Entropy B Sen, SH Chu, KK Parhi Scientific Reports 9 (1), 7628, 2019 | 25 | 2019 |
Classification of major depressive disorder from resting-state fMRI B Sen, B Mueller, B Klimes-Dougan, K Cullen, KK Parhi 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 24 | 2019 |
Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI B Sen, GA Bernstein, BA Mueller, KR Cullen, KK Parhi NeuroImage: Clinical 26, 102208, 2020 | 20 | 2020 |
Automated detection of pelvic fractures from volumetric CT images AS Chowdhury, JE Burns, A Mukherjee, B Sen, J Yao, RM Summers Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 1687-1690, 2012 | 14 | 2012 |
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer B Sen, N Gopal, X Xue arXiv preprint arXiv:2005.08294, 2020 | 12 | 2020 |
Predicting Male vs. Female from Task-fMRI Brain Connectivity B Sen, KK Parhi 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 10 | 2019 |
Constrained Tensor Decomposition Optimization With Applications To Fmri Data Analysis B Sen, KK Parhi 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1923-1928, 2018 | 7 | 2018 |
Predicting Tasks from Task-fMRI Using Blind Source Separation B Sen, KK Parhi 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2201-2205, 2019 | 5 | 2019 |
Detection of pelvic fractures using graph cuts and curvatures AS Chowdhury, J Burns, B Sen, A Mukherjee, J Yao, RM Summers Image Processing (ICIP), 2011 18th IEEE International Conference on, 1573-1576, 2011 | 5 | 2011 |
Generalized Prediction Model for Detection of Psychiatric Disorders B Sen University of Alberta, 2016 | 4 | 2016 |
Graph-Theoretic Properties of Sub-Graph Entropy B Sen, KK Parhi IEEE Signal Processing Letters 28, 135-139, 2021 | 3 | 2021 |
Diagnosing ADHD from fMRI Scans Using Hidden Markov Models B Sen, Z Shi, G Burlet arXiv preprint arXiv:1506.06048, 2015 | 2 | 2015 |
Effect of Modulating fMRI Time-Series on Fluid Ability and Fluid Intelligence for Healthy Humans SS Balaji, B Sen, KK Parhi 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |