| Deephit: A deep learning approach to survival analysis with competing risks C Lee, W Zame, J Yoon, M Van Der Schaar Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 561 | 2018 |
| Dynamic-deephit: A deep learning approach for dynamic survival analysis with competing risks based on longitudinal data C Lee, J Yoon, M Van Der Schaar IEEE Transactions on Biomedical Engineering 67 (1), 122-133, 2019 | 228 | 2019 |
| Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results … C Lee, A Light, A Alaa, D Thurtle, M van der Schaar, VJ Gnanapragasam The Lancet Digital Health 3 (3), e158-e165, 2021 | 73 | 2021 |
| A Variational Information Bottleneck Approach to Multi-Omics Data Integration C Lee, M van der Schaar The 24th International Conference on Artificial Intelligence and Statistics, 2021 | 71 | 2021 |
| Temporal Phenotyping using Deep Predictive Clustering of Disease Progression C Lee, M van der Schaar The 37th International Conference on Machine Learning, 2020 | 60 | 2020 |
| Development of a novel, potentially universal machine learning algorithm for prediction of complications after total hip arthroplasty AA Shah, SK Devana, C Lee, R Kianian, M van der Schaar, NF SooHoo The Journal of arthroplasty 36 (5), 1655-1662. e1, 2021 | 36 | 2021 |
| Temporal Quilting for Survival Analysis C Lee, WR Zame, AM Alaa, M van der Schaar The 22nd International Conference on Artificial Intelligence and Statistics, 2019 | 32 | 2019 |
| Survite: Learning heterogeneous treatment effects from time-to-event data A Curth, C Lee, M van der Schaar Advances in Neural Information Processing Systems 34, 26740-26753, 2021 | 30 | 2021 |
| Method and apparatus for device to device communication S Wooram, C Lee, SH Moon, YJ Ko US Patent 9,832,800, 2017 | 28 | 2017 |
| Joint user scheduling and adaptive intercell interference cancelation for MISO downlink cellular systems SH Moon, C Lee, SR Lee, I Lee IEEE transactions on vehicular technology 62 (1), 172-181, 2012 | 28 | 2012 |
| Device-to-device communication method and apparatus MY Yun, S Jaesheung, S Oh, C Lee, AS Park US Patent App. 14/527,511, 2015 | 23 | 2015 |
| Interference avoidance resource allocation for D2D communication based on graph-coloring C Lee, SM Oh, AS Park 2014 International Conference on Information and Communication Technology …, 2014 | 23 | 2014 |
| Prediction of major complications and readmission after lumbar spinal fusion: a machine learning–driven approach AA Shah, SK Devana, C Lee, A Bugarin, EL Lord, AN Shamie, DY Park, ... World neurosurgery 152, e227-e234, 2021 | 22 | 2021 |
| Self-Supervision Enhanced Feature Selection with Correlated Gates C Lee, F Imrie, M van der Schaar International Conference on Learning Representations, 2022 | 21 | 2022 |
| Estimation of individual treatment effect in latent confounder models via adversarial learning C Lee, N Mastronarde, M van der Schaar arXiv preprint arXiv:1811.08943, 2018 | 19 | 2018 |
| Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion AA Shah, SK Devana, C Lee, A Bugarin, EL Lord, AN Shamie, DY Park, ... European Spine Journal 31 (8), 1952-1959, 2021 | 18 | 2021 |
| A novel, potentially universal machine learning algorithm to predict complications in total knee arthroplasty SK Devana, AA Shah, C Lee, AR Roney, M van der Schaar, NF SooHoo Arthroplasty today 10, 135-143, 2021 | 17 | 2021 |
| D2d (device-to-device) discovery method and resource allocation method S Jaesheung, MY Yun, S Oh, C Lee, AS Park US Patent App. 14/526,673, 2015 | 17 | 2015 |
| Dynamic RACH preamble allocation scheme HY Hwang, SM Oh, C Lee, JH Kim, J Shin 2015 International Conference on Information and Communication Technology …, 2015 | 15 | 2015 |
| Device and method for transmitting reference signal OS Park, KIM Cheulsoon, GY Park, C Lee US Patent 10,447,445, 2019 | 14 | 2019 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing Institute在 ee.ucla.edu 的电子邮件经过验证
