Refinement of the Coherent Point Drift Registration Results by the Example of Cephalometry Problems. - Dmitry A. Lachinov; A. A. Getmanskaya; V. E. Turlapov (Program. Comput. Softw., 2018)

Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data. - Dmitry A. Lachinov; Alexandra Getmanskaya; Vadim Turlapov (CoRR, 2020)

Study of XAI-capabilities for early diagnosis of plant drought. - Irina Maximova; Evgeny Vasiliev; Alexandra Getmanskaya; Dmitry Kior; Vladimir Sukhov; Vladimir Vodeneev; Vadim Turlapov (IJCNN, 2021)

Entropy as a High-Level Feature for XAI-Based Early Plant Stress Detection. - Maxim Lysov; Irina Maximova; Evgeny Vasiliev; Alexandra Getmanskaya; Vadim Turlapov (Entropy, 2022)

Multiclass U-Net Segmentation of Brain Electron Microscopy Data Using Original and Semi-Synthetic Training Datasets. - A. A. Getmanskaya; Nikolai A. Sokolov; V. E. Turlapov (Program. Comput. Softw., 2022)

Ensuring Explainability and Dimensionality Reduction in a Multidimensional HSI World for Early XAI-Diagnostics of Plant Stress. - Maxim Lysov; Konstantin Pukhkiy; Evgeny Vasiliev; Alexandra Getmanskaya; Vadim Turlapov (Entropy, 2023)

TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology. - Walid Rehamnia; Alexandra Getmanskaya; Evgeniy Vasilyev; Vadim Turlapov (CoRR, 2025)