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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
EEG classification for motor imagery BCI using phase-only features extracted by independent component analysisMuhammad Naveed Iqbal Qureshi, Dongrae Cho, Boreom Lee
Frontiers in Neuroinformatics|September 26, 2017
Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning MachineMuhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, et al.
IEEE Transactions on Bio-Medical Engineering|July 11, 2018
Multiclass Classification of Word Imagination Speech with Hybrid Connectivity FeaturesMuhammad Naveed Iqbal Qureshi, Beomjun Min, Hyeong-Jun Park, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Classification of ADHD subgroup with recursive feature elimination for structural brain MRIMuhammad Naveed Iqbal Qureshi, Boreom Lee
Artificial Intelligence in Medicine|September 16, 2019
3D-CNN based discrimination of schizophrenia using resting-state fMRIMuhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Non-contact robust heart rate estimation using HSV color model and matrix-based IIR filter in the face video imagingDongrae Cho, Boreom Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Optimized automatic sleep stage classification using the normalized mutual information feature selection (NMIFS) methodDongrae Cho, Boreom Lee
Plos One|August 9, 2016
Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI StudyMuhammad Naveed Iqbal Qureshi, Beomjun Min, Hang Joon Jo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Mild Cognitive Impairment Diagnosis Using Extreme Learning Machine Combined With Multivoxel Pattern Analysis on Multi-Biomarker Resting-State FMRINguyen Thanh Duc, Seungjun Ryu, Min Choi, et al.
Frontiers in Human Neuroscience|April 20, 2017
Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRIMuhammad Naveed Iqbal Qureshi, Jooyoung Oh, Beomjun Min, et al.
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