| Enhancing IoT anomaly detection performance for federated learning B Weinger, J Kim, A Sim, M Nakashima, N Moustafa, KJ Wu Digital Communications and Networks 8 (3), 314-323, 2022 | 79 | 2022 |
| Anomaly detection based on traffic monitoring for secure blockchain networking J Kim, M Nakashima, W Fan, S Wuthier, X Zhou, I Kim, SY Chang 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-9, 2021 | 50 | 2021 |
| A machine learning approach to anomaly detection based on traffic monitoring for secure blockchain networking J Kim, M Nakashima, W Fan, S Wuthier, X Zhou, I Kim, SY Chang IEEE Transactions on Network and Service Management 19 (3), 3619-3632, 2022 | 27 | 2022 |
| Automated feature selection for anomaly detection in network traffic data M Nakashima, A Sim, Y Kim, J Kim, J Kim ACM Transactions on Management Information Systems (TMIS) 12 (3), 1-28, 2021 | 27 | 2021 |
| Lightweight and identifier-oblivious engine for cryptocurrency networking anomaly detection W Fan, HJ Hong, J Kim, S Wuthier, M Nakashima, X Zhou, CH Chow, ... IEEE Transactions on Dependable and Secure Computing 20 (2), 1302-1318, 2022 | 13 | 2022 |
| Evaluation of deep learning models for network performance prediction for scientific facilities M Nakashima, A Sim, J Kim Proceedings of the 3rd International Workshop on Systems and Network …, 2020 | 7 | 2020 |
| Multimodal representation learning of cardiovascular magnetic resonance imaging J Qiu, P Huang, M Nakashima, J Lee, J Zhu, W Tang, P Chen, C Nguyen, ... arXiv preprint arXiv:2304.07675, 2023 | 4 | 2023 |
| A machine learning approach to peer connectivity estimation for reliable blockchain networking J Kim, M Nakashima, W Fan, S Wuthier, X Zhou, I Kim, SY Chang 2021 IEEE 46th Conference on Local Computer Networks (LCN), 319-322, 2021 | 3 | 2021 |
| Deep learning analysis using cardiovascular magnetic resonance imaging for risk prediction in cardiac amyloidosis J Cockrum, D Chen, M Nakashima, J Mauch, MA Hanna, K Kanj, ... Journal of the American College of Cardiology 79 (9_Supplement), 1193-1193, 2022 | 2 | 2022 |
| Leveraging a vision transformer model to improve diagnostic accuracy of cardiac amyloidosis with cardiac magnetic resonance J Cockrum, M Nakashima, C Ammoury, D Rizkallah, J Mauch, D Lopez, ... JACC: Cardiovascular Imaging, 2024 | 1 | 2024 |
| Autoregressive report generation for cardiac magnetic resonance imaging M Nakashima, PH Chen, MA Bolen, RA Grimm, WHW Tang, C Nguyen, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| Global heart function: Automated characterization of cardiac spatiotemporal features from isotropic 4D whole thoracic automated cardiac MRI (AutoCMR) H Le, A Deb, M Nakashima, K Bodi, M Robakowski, Y Mao, H Kohut, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| Zero-shot classification for cardiac magnetic resonance imaging using multimodal pretraining M Nakashima, J Qiu, P Huang, PH Chen, RA Grimm, C Nguyen, D Zhao, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| T1 and T2 cardiac magnetic resonance fingerprinting for discrimination of cardiac amyloidosis and hypertrophic cardiomyopathy MC Yim, M Nakashima, T Korkerdsup, J Hamilton, N Seiberlich, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| Large language model for automated impression sentence generation from findings M Nakashima, PH Chen, MA Bolen, WHW Tang, RA Grimm, C Nguyen, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| AutoCMR: Democratizing access to cardiac MRI with a push-button, 4D isotropic whole thoracic automated exam D Kara, A Deb, M Robakowski, H Le, M Nakashima, K Bodi, Y Mao, ... Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| Comparing 2D and 3D deep learning (DL)-based reconstruction strategies for undersampled isotropic 4D whole thoracic automated cardiac MRI (AutoCMR) A Deb, D Kara, M Nakashima, H Le, D Kwon, D Chen, C Nguyen Journal of Cardiovascular Magnetic Resonance 27, 2025 | | 2025 |
| FEASIBILITY OF ESTIMATION OF PULMONARY CAPILLARY WEDGE PRESSURE BY MRI IN CARDIAC AMYLOIDOSIS J Simkowski, D Salam, M Nakashima, D Chen, LG Tereshchenko, ... Journal of the American College of Cardiology 83 (13_Supplement), 1544-1544, 2024 | | 2024 |
| LGE SEGMENTATION PROVIDES INCREMENTAL PROGNOSTIC RISK STRATIFICATION IN PATIENTS WITH CARDIAC AMYLOIDOSIS J Simkowski, D Salam, M Nakashima, D Chen, A Firth, WHW Tang, ... Journal of the American College of Cardiology 83 (13_Supplement), 1542-1542, 2024 | | 2024 |
| Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision M Nakashima, D Salem, HWW Tang, C Nguyen, TH Hwang, D Zhao, ... Machine Learning for Healthcare Conference, 473-488, 2023 | | 2023 |
