| Detecting atrial fibrillation by deep convolutional neural networks Y Xia, N Wulan, K Wang, H Zhang Computers in biology and medicine 93, 84-92, 2018 | 386 | 2018 |
| Generating electrocardiogram signals by deep learning N Wulan, W Wang, P Sun, K Wang, Y Xia, H Zhang Neurocomputing 404, 122-136, 2020 | 74 | 2020 |
| Comparison between gradients and parcellations for functional connectivity prediction of behavior R Kong, YR Tan, N Wulan, LQR Ooi, SR Farahibozorg, S Harrison, ... NeuroImage 273, 120044, 2023 | 29 | 2023 |
| Atrial fibrillation detection using stationary wavelet transform and deep learning Y Xia, N Wulan, K Wang, H Zhang 2017 Computing in Cardiology (CinC), 1-4, 2017 | 28 | 2017 |
| Multilayer meta-matching: Translating phenotypic prediction models from multiple datasets to small data P Chen, L An, N Wulan, C Zhang, S Zhang, LQR Ooi, R Kong, J Chen, ... Imaging Neuroscience 2, 1-22, 2024 | 8 | 2024 |
| Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness S Chopra, E Dhamala, C Lawhead, JA Ricard, ER Orchard, L An, P Chen, ... medRxiv, 2022.12. 08.22283232, 2022 | 8 | 2022 |
| Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching N Wulan, L An, C Zhang, R Kong, P Chen, D Bzdok, SB Eickhoff, ... bioRxiv, 2024 | 4 | 2024 |
| A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data G Luo, K Wang, N Wulan, S Cao, Q Li, Y Yuan, H Zhang 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 2 | 2019 |
| DeepResBat: deep residual batch harmonization accounting for covariate distribution differences L An, C Zhang, N Wulan, S Zhang, P Chen, F Ji, KK Ng, C Chen, JH Zhou, ... Medical Image Analysis 99, 103354, 2025 | 1 | 2025 |
| Generalizable and replicable brain-based predictions of cognitive functioning across common psychiatric illness S Chopra, E Dhamala, C Lawhead, JA Ricard, ER Orchard, L An, P Chen, ... Science Advances 10 (45), eadn1862, 2024 | 1 | 2024 |
| 252. Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness S Chopra, E Dhamala, C Lawhead, J Ricard, E Orchard, L An, P Chen, ... Biological Psychiatry 93 (9), S195, 2023 | 1 | 2023 |
| Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models C Zhang, L An, N Wulan, KN Nguyen, C Orban, P Chen, C Chen, JH Zhou, ... medRxiv, 2024.11. 18.24317513, 2024 | | 2024 |
| Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle S Dong, G Luo, N Wulan, S Cao, K Wang, H Zhang 2019 Computing in Cardiology (CinC), 1-5, 2019 | | 2019 |
| Multi-domain and Uni-domain Fusion for domain-generalizable fMRI-based phenotypic prediction P Chen, L An, N Wulan, C Zhang, S Zhang, LQR Ooi, R Kong, J Wu, ... | | |
| Meta-matching to translate phenotypic predictive models from big to small data on structural MRI N Wulan, L An, C Zhang, R Kong, P Chen, D Bzdok, S Eickhoff, A Holmes, ... | | |
| L2C-FNN: Longitudinal to Cross-sectional Feedforward Neural Network for generalizable AD-dementia progression prediction C Zhang, L An, N Wulan, KN Nguyen, C Orban, P Chen, C Chen, JH Zhou, ... | | |