| Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-assisted Radical Prostatectomy Performance and Predict Outcomes AJ Hung, J Chen, Z Che, T Nilanon, A Jarc, M Titus, PJ Oh, IS Gill, Y Liu Journal of Endourology 32 (5), 438-444, 2018 | 156 | 2018 |
| Variational Recurrent Adversarial Deep Domain Adaptation S Purushotham, W Carvalho, T Nilanon, Y Liu International Conference on Learning Representations (ICLR), 2017 | 136* | 2017 |
| Normal/Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network T Nilanon, J Yao, J Hao, S Purushotham, Y Liu Computing in Cardiology Conference (CinC), 585-588, 2016 | 121 | 2016 |
| Use of Wearable Activity Tracker in Patients With Cancer Undergoing Chemotherapy: Toward Evaluating Risk of Unplanned Health Care Encounters T Nilanon, LP Nocera, AS Martin, A Kolatkar, M May, Z Hasnain, NT Ueno, ... JCO Clinical Cancer Informatics 4, 839-853, 2020 | 20 | 2020 |
| Quantified Kinematics to Evaluate Patient Chemotherapy Risks in Clinic Z Hasnain, T Nilanon, M Li, A Mejia, A Kolatkar, L Nocera, C Shahabi, ... JCO Clinical Cancer Informatics 4, 583-601, 2020 | 6 | 2020 |
| A Multidisciplinary Study on the Relationship between Foster Care Attributes and Posttraumatic Stress Disorder Symptoms on Foster Youth A Yoshioka-Maxwell, S Gholami, E Sheng, M Hemler, T Nilanon, ... Artificial Intelligence and Social Work, 169-171, 2018 | 2 | 2018 |
| Towards automated performance status assessment: temporal alignment of motion skeleton time series T Nilanon, LP Nocera, JJ Nieva, C Shahabi Explainable AI in Healthcare and Medicine, 335-344, 2020 | 1 | 2020 |
| Relational Multi-Instance Learning for Concept Annotation from Medical Time Series S Purushotham, Z Che, B Jiang, T Nilanon, Y Liu | | 2018 |
Yan LiuProfessor, Director of Machine Learning Center@USC在 usc.edu 的电子邮件经过验证
