| Machine learning’s application in deep brain stimulation for Parkinson’s disease: A review J Watts, A Khojandi, O Shylo, RA Ramdhani Brain Sciences 10 (11), 809, 2020 | 31 | 2020 |
| Optimizing individualized treatment planning for Parkinson’s disease using deep reinforcement learning J Watts, A Khojandi, R Vasudevan, R Ramdhani 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 31 | 2020 |
| A dynamic deep reinforcement learning-Bayesian framework for anomaly detection J Watts, F Van Wyk, S Rezaei, Y Wang, N Masoud, A Khojandi IEEE Transactions on Intelligent Transportation Systems 23 (12), 22884-22894, 2022 | 17 | 2022 |
| Improving medication regimen recommendation for Parkinson’s disease using sensor technology J Watts, A Khojandi, R Vasudevan, FB Nahab, RA Ramdhani Sensors 21 (10), 3553, 2021 | 8 | 2021 |
| Studying the effects of thermally diffusing Ce into the surface of YAlO3 for associated particle imaging ME Moore, C Delzer, J Watts, BL Musicó, C Xu, RM Collette, PD Rack, ... Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2020 | 6 | 2020 |
| Adapting random forests to predict obesity-associated gene expression J Watts, E Allen, A Mitoubsi, A Khojandi, J Eales, F Jalali-Najafabadi, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
| Predicting Parkinson’s disease medication regimen using sensor technology J Watts, A Khojandi, R Vasudevan, FB Nahab, R Ramdhani | 1 | 2021 |
| Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection J Watts, E Allen, A Mitoubsi, A Khojandi, J Eales, T Papamarkou 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Deep Temporal Neural Networks for Water Level Predictions of Watershed Systems J Huff, J Watts, A Khojandi, J Hathaway 2023 Systems and Information Engineering Design Symposium (SIEDS), 108-113, 2023 | | 2023 |
| Differential spatiotemporal gait effects with frequency and dopaminergic modulation in STN-DBS RA Ramdhani, J Watts, M Kline, T Fitzpatrick, M Niethammer, A Khojandi Frontiers in Aging Neuroscience 15, 2023 | | 2023 |
| Machine Learning and Decision Making to Optimize Treatment Planning in Parkinson’s Disease J Watts | | 2023 |
| Machine Learning and Instrumented Gait Analysis to Classify Subthalamic DBS States in Parkinson's Disease J Watts, A Khojandi, R Ramdhani MOVEMENT DISORDERS 37, S181-S182, 2022 | | 2022 |
| Predicting MDS-UPDRS Ratings for Deep Brain Stimulation Patients Using Wearable Sensor Data J Watts, A Khojandi, M Niethammer, R Ramdhani MOVEMENT DISORDERS 36, S552-S553, 2021 | | 2021 |
| Parkinson's Disease: A Clinical Review. S Petrovic, A Arsic, D Ristic-Medic, Z Cvetkovic, V Vucic, J Watts, ... Medsurg Nursing 29 (5), 327-332, 2020 | | 2020 |
| Sensor-Based Gait Measurements Predict Subthalamic Deep Brain Stimulation Frequency in Parkinson's Disease Patients-A Proof of Concept Study J Watts, A Khojandi, O Shylo, R Ramdhani MOVEMENT DISORDERS 35, S488-S489, 2020 | | 2020 |
