Valeria Chernina

According to our database, Valeria Chernina authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, Mikhail Goncahrov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev

CoRR, 2024

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, Mikhail Belyaev

Medical Image Anal., 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, Roman V. Reshetnikov, A. V. Vladzymyrskyy, Nicholas S. Kulberg

Comput. Methods Programs Biomed., 2021

Quantification of Epicardial Adipose Tissue in Low-Dose Computed Tomography Images.

Mikhail Goncharov, Valeria Chernina, Maxim Pisov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

2020

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

2019

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection.

Maxim Pisov, Mikhail Goncharov, Nadezhda Kurochkina, Sergey Morozov, Victor Gombolevskiy, Valeria Chernina, Anton Vladzymyrskyy, Ksenia Zamyatina, Anna Chesnokova, Igor Pronin, Michael Shifrin, Mikhail Belyaev

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019