| Avoiding misdiagnosis of Parkinson’s disease with the use of wearable sensors and artificial intelligence A Talitckii, E Kovalenko, A Anikina, O Zimniakova, M Semenov, E Bril, ... IEEE Sensors Journal 21 (3), 3738-3747, 2020 | 28 | 2020 |
| Comparative study of wearable sensors, video, and handwriting to detect Parkinson’s disease A Talitckii, E Kovalenko, A Shcherbak, A Anikina, E Bril, O Zimniakova, ... IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 21 | 2022 |
| Defining optimal exercises for efficient detection of Parkinson’s disease using machine learning and wearable sensors A Talitckii, A Anikina, E Kovalenko, A Shcherbak, O Mayora, ... IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 17 | 2021 |
| Distinguishing between Parkinson’s disease and essential tremor through video analytics using machine learning: A pilot study E Kovalenko, A Talitckii, A Anikina, A Shcherbak, O Zimniakova, ... IEEE Sensors Journal 21 (10), 11916-11925, 2020 | 15 | 2020 |
| Detect to focus: Latent-space autofocusing system with decentralized hierarchical multi-agent reinforcement learning A Anikina, OY Rogov, DV Dylov IEEE Access, 2023 | 1 | 2023 |
| Dasha: decentralized autofocusing system with hierarchical agents A Anikina, OY Rogov, DV Dylov arXiv preprint arXiv:2108.12842, 2021 | 1 | 2021 |
| Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage A Talitckii, A Anikina, E Kovalenko, O Mayora, V Osmani, O Zimniakova, ... Proceedings of the 14th EAI International Conference on Pervasive Computing …, 2020 | 1 | 2020 |
| Recognition of radiological decision errors from eye movement during chest x-ray readings A Anikina, I Pershin, T Mustafaev, B Ibragimov Medical Imaging 2024: Image Perception, Observer Performance, and Technology …, 2024 | | 2024 |
| Decentralized Autofocusing System with Hierarchical Agents. A Anikina, OY Rogov, DV Dylov CoRR, 2021 | | 2021 |
