| Association of apolipoprotein E ε4 with medial temporal tau independent of amyloid-β J Therriault, AL Benedet, TA Pascoal, S Mathotaarachchi, M Chamoun, ... JAMA neurology 77 (4), 470-479, 2020 | 190 | 2020 |
| 3D-deep learning based automatic diagnosis of Alzheimer’s disease with joint MMSE prediction using resting-state fMRI NT Duc, S Ryu, MNI Qureshi, M Choi, KH Lee, B Lee Neuroinformatics 18, 71-86, 2020 | 174 | 2020 |
| 18F-MK-6240 PET for early and late detection of neurofibrillary tangles TA Pascoal, J Therriault, AL Benedet, M Savard, FZ Lussier, M Chamoun, ... Brain 143 (9), 2818-2830, 2020 | 161 | 2020 |
| 3D-CNN based discrimination of schizophrenia using resting-state fMRI MNI Qureshi, J Oh, B Lee Artificial intelligence in medicine 98, 10-17, 2019 | 134 | 2019 |
| Mild behavioral impairment is associated with β‐amyloid but not tau or neurodegeneration in cognitively intact elderly individuals FZ Lussier, TA Pascoal, M Chamoun, J Therriault, C Tissot, M Savard, ... Alzheimer's & dementia 16 (1), 192-199, 2020 | 125 | 2020 |
| Multiclass classification for the differential diagnosis on the ADHD subtypes using recursive feature elimination and hierarchical extreme learning machine: structural MRI study MNI Qureshi, B Min, HJ Jo, B Lee PloS one 11 (8), e0160697, 2016 | 102 | 2016 |
| Multi-modal, multi-measure, and multi-class discrimination of ADHD with hierarchical feature extraction and extreme learning machine using structural and functional brain MRI MNI Qureshi, J Oh, B Min, HJ Jo, B Lee Frontiers in human neuroscience 11, 157, 2017 | 74 | 2017 |
| Multimodal discrimination of schizophrenia using hybrid weighted feature concatenation of brain functional connectivity and anatomical features with an extreme learning machine MNI Qureshi, J Oh, D Cho, HJ Jo, B Lee Frontiers in neuroinformatics 11, 59, 2017 | 71 | 2017 |
| Multiclass classification of word imagination speech with hybrid connectivity features MNI Qureshi, B Min, H Park, D Cho, W Choi, B Lee IEEE Transactions on Biomedical Engineering 65 (10), 2168-2177, 2017 | 67 | 2017 |
| Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer’s dementia diagnosis using multi-measure rs-fMRI spatial patterns DT Nguyen, S Ryu, MNI Qureshi, M Choi, KH Lee, B Lee PloS one 14 (2), e0212582, 2019 | 43 | 2019 |
| Evaluation of functional decline in Alzheimer’s dementia using 3D deep learning and group ICA for rs-fMRI measurements MNI Qureshi, S Ryu, J Song, KH Lee, B Lee Frontiers in aging neuroscience 11, 8, 2019 | 35 | 2019 |
| Intrinsic connectivity of the human brain provides scaffold for tau aggregation in clinical variants of Alzheimer’s disease J Therriault, TA Pascoal, M Savard, S Mathotaarachchi, AL Benedet, ... Science Translational Medicine 14 (659), eabc8693, 2022 | 17 | 2022 |
| Classification of ADHD subgroup with recursive feature elimination for structural brain MRI MNI Qureshi, B Lee 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 14 | 2016 |
| ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: resting-state FMRI study MNI Qureshi, HJ Jo, B Lee 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 13 | 2017 |
| EEG classification for motor imagery BCI using phase-only features extracted by independent component analysis MNI Qureshi, D Cho, B Lee 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 11 | 2017 |
| Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI … MNI Qureshi, J Oh, B Min, HJ Jo, B Lee Frontiers in Human Neuroscience 11, 1-2, 2017 | 9 | 2017 |
| Neural correlates of disaster-related prenatal maternal stress in young adults from Project Ice Storm: Focus on amygdala, hippocampus, and prefrontal cortex X Li, MNI Qureshi, DP Laplante, G Elgbeili, SL Jones, S King, ... Frontiers in human neuroscience 17, 1094039, 2023 | 4 | 2023 |
| Mild cognitive impairment diagnosis using extreme learning machine combined with multivoxel pattern analysis on multi-biomarker resting-state FMRI NT Duc, S Ryu, M Choi, MNI Qureshi, B Lee 2019 41st annual international conference of the IEEE engineering in …, 2019 | 4 | 2019 |
| Beomjun Min, Hang Joon Jo, Boreom Lee” Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine … MNI Qureshi, J Oh Frontiers in human neuroscience 11, 2017 | 3 | 2017 |
| Robust classification techniques for connection pattern analysis with adaptive decision boundaries using CUDA MNI Qureshi, JE Lee, SW Lee 2012 International Conference on Cloud Computing and Social Networking …, 2012 | 3 | 2012 |
Boreom LeeProfessor of Biomedical Science and Engineering, Gwangju Institute of Science and TechnologyEmail verificata su gist.ac.kr
