Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Oscar Mayora; Venet Osmani; Olga Zimniakova; Maxim Semenov; Ekaterina Bril; Dmitry V. Dylov; Andrey Somov (PervasiveHealth, 2020)

Decentralized Autofocusing System with Hierarchical Agents. - Anna Anikina; Oleg Y. Rogov; Dmitry V. Dylov (CoRR, 2021)

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Aleksei Shcherbak; Oscar Mayora; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2021)

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. - Aleksandr Talitckii; Ekaterina Kovalenko; Aleksei Shcherbak; Anna Anikina; Ekaterina Bril; Olga Zimniakova; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2022)

Detect to Focus: Latent-Space Autofocusing System With Decentralized Hierarchical Multi-Agent Reinforcement Learning. - Anna Anikina; Oleg Y. Rogov; Dmitry V. Dylov (IEEE Access, 2023)

Exploring Gaming Technologies, Digital Twins, and VR to Visualise Wireless Propagation Simulations. - Louis Nisiotis; Anna Anikina; Marios Raspopoulos (COMPSAC, 2024)

Prediction of Radiological Diagnostic Errors from Eye Tracking Data Using Graph Neural Networks and Gaze-Guided Transformers. - Anna Anikina; Reza Karimzadeh; Diliara Ibragimova; Tamerlan Mustafaev; Claudia Mello-Thoms; Bulat Ibragimov (GRAIL@MICCAI, 2024)

Prediction of radiological decision errors from longitudinal analysis of gaze and image features. - Anna Anikina; Diliara Ibragimova; Tamerlan Mustafaev; Claudia Mello-Thoms; Bulat Ibragimov (Artif. Intell. Medicine, 2025)