Teaching Heart Modeling and Simulation on Parallel Computing Systems. - Andrey Sozykin; Mikhail Chernoskutov; Anton Koshelev; Vladimir Zverev; Konstantin Ushenin; Olga Solovyova (Euro-Par Workshops, 2015)

Role of Myocardial Properties and Pacing Lead Location on ECG in Personalized Paced Heart Models. - Konstantin Ushenin; Arseniy Dokuchaev; Sonya Magomedova; Oleg Sopov; Vitaly Kalinin; Olga Solovyova (CinC, 2017)

Comparison of Depolarization and Repolarization in Mathematical Models of the Left Ventricle and the Thin Longitudinal Ventricular Slice. - Anastasia Bazhutina; Anastasia Khokhlova; Konstantin Ushenin; Olga Solovyova (CinC, 2018)

In Silico Comparison of Phase Maps Based on Action Potential and Extracellular Potential. - Konstantin Ushenin; Artem Razumov; Vitaly Kalinin; Olga Solovyova (CinC, 2018)

Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices. - Alexander Karimov; Artem Razumov; Ruslana Manbatchurina; Ksenia Simonova; Irina Donets; Anastasia Vlasova; Yulia Khramtsova; Konstantin Ushenin (CoRR, 2019)

Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation. - Konstantin Ushenin; Vladimir Sholokhov; Tatyana Nesterova; Dmitry Shmarko (CoRR, 2019)

Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing. - Marat Bogdanov; Salim Baigildin; Aygul Fabarisova; Konstantin Ushenin; Olga Solovyova (CoRR, 2019)

Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance. - Garnik Vareldzhan; Kirill V. Yurkov; Konstantin Ushenin (CoRR, 2021)

Natural language processing for clusterization of genes according to their functions. - Vladislav Dordiuk; Ekaterina Demicheva; Fernando Polanco Espino; Konstantin Ushenin (CoRR, 2022)

Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation. - Nikita S. Markov; Ilya Kotov; Konstantin Ushenin; Yakov Bozhko (CoRR, 2022)

Compressor-Based Classification for Atrial Fibrillation Detection. - Nikita S. Markov; Konstantin Ushenin; Yakov Bozhko; Olga Solovyova (CoRR, 2023)

Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications. - Vladislav Dordiuk; Maksim Dzhigil; Konstantin Ushenin (CoRR, 2023)

$ nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. - Kuzma Khrabrov; Anton Ber; Artem Tsypin; Konstantin Ushenin; Egor Rumiantsev; Alexander Telepov; Dmitry Protasov; Ilya Shenbin; Anton Alekseev 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (NeurIPS, 2024)

∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials. - Kuzma Khrabrov; Anton Ber; Artem Tsypin; Konstantin Ushenin; Egor Rumiantsev; Alexander Telepov; Dmitry Protasov; Ilya Shenbin; Anton Alekseev 001; Mikhail Shirokikh; Sergey I. Nikolenko; Elena Tutubalina; et al. (CoRR, 2024)

LAGNet: better electron density prediction for LCAO-based data and drug-like substances. - Konstantin Ushenin; Kuzma Khrabrov; Artem Tsypin; Anton Ber; Egor Rumiantsev; Artur Kadurin (J. Cheminformatics, 2025)