Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection. - Maxim Pisov; Mikhail Goncharov; Nadezhda Kurochkina; Sergey Morozov 002; Victor Gombolevskiy; Valeria Chernina; Anton Vladzymyrskyy; Ksenia Zamyatina; Anna Chesnokova; Igor Pronin; Michael Shifrin; Mikhail Belyaev (iMIMIC/ML-CDS@MICCAI, 2019)

MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset. - Sergey P. Morozov; Anna E. Andreychenko; N. A. Pavlov; A. V. Vladzymyrskyy; N. V. Ledikhova; V. A. Gombolevsky; Ivan A. Blokhin; P. B. Gelezhe; A. V. Gonchar; Valeria Chernina (CoRR, 2020)

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images. - Mikhail Goncharov; Valeria Chernina; Maxim Pisov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (MICAD, 2021)

A simplified cluster model and a tool adapted for collaborative labeling of lung cancer CT scans. - Sergey P. Morozov; V. A. Gombolevsky; A. B. Elizarov; Maxim A. Gusev; V. P. Novik; S. B. Prokudaylo; A. S. Bardin; E. V. Popov; N. V. Ledikhova; Valeria Chernina; Ivan A. Blokhin; A. E. Nikolaev; et al. (Comput. Methods Programs Biomed., 2021)

CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. - Mikhail Goncharov; Maxim Pisov; Alexey Shevtsov; Boris Shirokikh; Anvar Kurmukov; Ivan A. Blokhin; Valeria Chernina; Alexander Solovev; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (Medical Image Anal., 2021)

The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography. - Anvar Kurmukov; Valeria Chernina; Regina Gareeva; Maria Dugova; Ekaterina Petrash; Olga Aleshina; Maxim Pisov; Boris Shirokikh; Valentin Samokhin; Vladislav Proskurov; Stanislav Shimovolos; Maria Basova; et al. (MICAD, 2024)

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study. - Anvar Kurmukov; Valeria Chernina; Regina Gareeva; Maria Dugova; Ekaterina Petrash; Olga Aleshina; Maxim Pisov; Boris Shirokikh; Valentin Samokhin; Vladislav Proskurov; Stanislav Shimovolos; Maria Basova; et al. (CoRR, 2024)