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Marina Barulina

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Articles

Predicting Multiple Sclerosis Disease Activity from Longitudinal MRI and EDSS Data Using Multimodal Deep Learning: A Pilot Study

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By Marina Barulina, Oleg Samsonov, Ivan Chechkov
| preprints.org
You are already at the latest version Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by high heterogeneity of clinical progression and limited accuracy of traditional prognostic approaches. Predicting the transition to an active disease phase is critical for timely adjustment of disease-modifying therapy and reduction of disability risk.
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A Comparative Study of an AI Model’s Robustness to Synthetic Data in Solving the Problem of Color Image Classification

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By Marina Barulina, Sergey Okunkov, Ivan Ulitin
| preprints.org
You are already at the latest version This study examines the impact of data augmentation on machine learning perfor-mance, focusing on how synthetic data influences various neural network architec-tures. Common issues such as limited data, class imbalance, and poor coverage often lead to low model metrics, and data augmentation is frequently used to address these problems.
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Method for Preprocessing Video Data for Training Deep Learning Models for Identifying Behavioral Events in Bio-Objects

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By Marina Barulina, Alexander Andreev, Ilya Kovalenko, Ilya Barmin
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 31 October 2024 / Approved: 1 November 2024 / Online: 1 November 2024 (18:11:45 CET) Barulina, M.; Andreev, A.; Kovalenko, I.; Barmin, I.; Titov, E.; Kirillov, D. Method for Preprocessing Video Data for Training Deep Learning Models for Identifying Behavioral Events in Bio-Objects. Preprints 2024, 2024110038.
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