Łukasz Kidziński
Stanford University(US)
Publications by Year
Research Areas
Cancer Immunotherapy and Biomarkers, Online Learning and Analytics, Immune cells in cancer, Balance, Gait, and Falls Prevention, Muscle activation and electromyography studies
Most-Cited Works
- → Deep neural networks enable quantitative movement analysis using single-camera videos(2020)299 cited
- → OpenCap: Human movement dynamics from smartphone videos(2023)273 cited
- → Wearable sensors enable personalized predictions of clinical laboratory measurements(2021)232 cited
- → Dynamic Functional Principal Components(2014)192 cited
- → Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks(2020)176 cited
- → Automated human-level diagnosis of dysgraphia using a consumer tablet(2018)151 cited
- → Automatic real-time gait event detection in children using deep neural networks(2019)118 cited
- → Multimodal teaching analytics: Automated extraction of orchestration graphs from wearable sensor data(2018)116 cited
- → Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer(2024)114 cited
- → Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation(2021)96 cited