| Generative oversampling with a contrastive variational autoencoder W Dai, K Ng, K Severson, W Huang, F Anderson, C Stultz 2019 IEEE International Conference on Data Mining (ICDM), 101-109, 2019 | 36 | 2019 |
| 2.5-Dimensional Parylene C micropore array with a large area and a high porosity for high-throughput particle and cell separation Y Liu, H Xu, W Dai, H Li, W Wang Microsystems & nanoengineering 4 (1), 13, 2018 | 28 | 2018 |
| Identifying unreliable predictions in clinical risk models PD Myers, K Ng, K Severson, U Kartoun, W Dai, W Huang, FA Anderson, ... NPJ digital medicine 3 (1), 8, 2020 | 18 | 2020 |
| Identifying aortic stenosis with a single parasternal long-axis video using deep learning W Dai, H Nazzari, M Namasivayam, J Hung, CM Stultz Journal of the American Society of Echocardiography 36 (1), 116-118, 2023 | 16 | 2023 |
| Enhanced parylene-C fluorescence as a visual marker for neuronal electrophysiology applications L Zhang, M Wei, L Shao, M Li, W Dai, Y Cui, Z Li, C Zhang, W Wang Lab on a Chip 18 (23), 3539-3549, 2018 | 7 | 2018 |
| Quantifying common support between multiple treatment groups using a contrastive-vae W Dai, CM Stultz Machine Learning for Health, 41-52, 2020 | 5 | 2020 |
| Data model processing in machine learning using a reduced set of features U Kartoun, K Severson, K Ng, PD Myers, W Dai, CM Stultz US Patent 11,429,899, 2022 | 4 | 2022 |
| Reliable deposition of ultra-thin parylene W Wang, D Kang, W Dai, YC Tai 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems …, 2016 | 4 | 2016 |
| Highly controllable and reliable ultra-thin Parylene deposition Y Liu, D Kang, W Dai, H Li, W Wang, YC Tai Micro and Nano Systems Letters 6, 1-7, 2018 | 3 | 2018 |
| A 3D filter for plasma separation from whole blood Y Liu, W Dai, H Li, W Wu, W Wang 2017 19th International Conference on Solid-State Sensors, Actuators and …, 2017 | 3 | 2017 |
| Chromatic confocal imaging based mechanical test platform for micro porous membrane W Dai, Y Liu, F Su, W Wang 2016 13th IEEE International Conference on Solid-State and Integrated …, 2016 | 3 | 2016 |
| Assessing unreliability of clinical risk prediction PD Myers, U Kartoun, K Severson, W Dai, K Ng, CM Stultz US Patent 11,551,817, 2023 | 1 | 2023 |
| Mechanical strength of 2.5 D Parylene C micropore-arrayed filtration membrane W Dai, Y Liu, Y Fu, H Xu, F Su, J Wu, W Wang 2017 19th International Conference on Solid-State Sensors, Actuators and …, 2017 | 1 | 2017 |
| Data model processing in machine learning employing feature selection using sub-population analysis U Kartoun, K Severson, K Ng, PD Myers, W Dai, CM Stultz US Patent 11,742,081, 2023 | | 2023 |
| Tackling Key Challenges to Guide Clinical Decisions in Cardiovascular Diseases W Dai Massachusetts Institute of Technology, 2022 | | 2022 |
| Missing data imputation in a clinical registry with deep generative models W Dai Massachusetts Institute of Technology, 2021 | | 2021 |
| Devices and applications at the micro-and nanoscale rsc. li/loc L Zhang, M Wei, L Shao, M Li, W Dai, Y Cui, Z Li, C Zhang, W Wang, ... Lab Chip 18 (3561), 3550-3560, 2018 | | 2018 |
| An annealing process for mechanical strength improvement of Parylene micropore-arrayed membrane H Xu, W Dai, Y Liu, W Wu, W Wang 2017 IEEE 12th International Conference on Nano/Micro Engineered and …, 2017 | | 2017 |
| Generative Model for Human Pose Transferring between Videos S Li, W Dai, Z Wan | | |
