Maxim Sharaev - RankMe

29 papers C 5Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GCond: Gradient Conflict Resolution via Accumulation-Based Stabilization for Large-Scale Multi-Task Learning. IEEE Access Evgeny Alves Limarenko, Anastasiia Alexandrovna Studenikina, Svetlana Illarionova, Maxim Sharaev
2025	J	`jnl`	A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. Svetlana Illarionova, Rifat A. Hamoudi, Margarita Zapevalina, Ilya Fedin, Nadezhda Alsahanova, Alexander Bernstein, Evgeny Burnaev, Vera Alferova, Ekaterina Khrameeva, D. Shadrin, Iman Talaat, Ahmed Bouridane, Maxim Sharaev
2025	J	`jnl`	Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification. CoRR Rinat Prochii, Elizaveta Dakhova, Pavel Birulin, Maxim Sharaev
2025	—	`conf`	Generative AI for Virtual Staining in Histopathological Data Analysis. IPTA Svetlana Illarionova, Maxim Sharaev, Fedor Gubanov, Rifat Hamoudi
2025	J	`jnl`	Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. Nadezhda Alsahanova, V. Yarkin, E. Spodarev, Oleg Bronov, Vladimir Bychenko, A. Marinets, E. Syrkashev, O. Karpov, Evgeny Burnaev, Alexander Bernstein, Vera Alferova, Maxim Sharaev
2025	—	`conf`	Pathological Region Inpainting in MRI Data Using Generative AI. IPTA Maxim Sharaev, Nadezhda Alsakhanova, Svetlana Illarionova, Pavel Bartenev
2025	J	`jnl`	impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction. CoRR Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, Alexander Bernstein, Maxim Sharaev
2024	J	`jnl`	Auditory event-related potential differentiates girls with Rett syndrome from their typically-developing peers with high accuracy: Machine learning study. Cogn. Syst. Res. Maxim Sharaev, Maxim Nekrashevich, Daria Kostanian, Victoria Voinova, Olga Sysoeva
2024	—	`conf`	MEGFormer: Enhancing Speech Decoding from Brain Activity Through Extended Semantic Representations. MICCAI (2) Maria Boyko, Polina Druzhinina, Georgii Kormakov, Aleksandra Beliaeva, Maxim Sharaev
2022	J	`jnl`	A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements. Decis. Support Syst. Valentina Bachurina, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Marie Arsalidou
2022	C	`conf`	Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev
2021	J	`jnl`	A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography. Frontiers Neuroinformatics Gurgen Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Irina Polikanova, Galina V. Portnova, Anna Rebreikina, Olga Sysoeva, Maxim Sharaev
2021	—	`conf`	BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
2020	J	`jnl`	Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Data-driven models and computational tools for neurolinguistics: a language technology perspective. CoRR Ekaterina Artemova, Amir Bakarov, Aleksey Artemov, Evgeny Burnaev, Maxim Sharaev
2020	J	`jnl`	Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Domain shift in computer vision models for MRI data analysis: an overview. ICMV Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	—	`conf`	Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	—	`conf`	Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
2019	J	`jnl`	Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. CoRR Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin
2019	C	`conf`	Machine learning models reproducibility and validation for MR images recognition. ICMV Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
2019	C	`conf`	Topological data analysis in computer vision. ICMV Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan
2018	J	`jnl`	Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov
2018	—	`conf`	Pattern Recognition Pipeline for Neuroimaging Data. ANNPR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein
2018	—	`conf`	Towards localization of radial traveling waves in the evoked and spontaneous MEG: A solution based on the intra-cortical propagation hypothesis. BICA Vitaly Verkhlyutov, Maxim Sharaev, Vladislav Balaev, Alexei Osadtchi, Vadim L. Ushakov, Lyudmila I. Skiteva, Boris M. Velichkovsky
2018	J	`jnl`	fMRI: preprocessing, classification and pattern recognition. CoRR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov