| CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification M Goncharov, M Pisov, A Shevtsov, B Shirokikh, A Kurmukov, I Blokhin, ... Medical image analysis 71, 102054, 2021 | 88 | 2021 |
| Incorporating task-specific structural knowledge into CNNs for brain midline shift detection M Pisov, M Goncharov, N Kurochkina, S Morozov, V Gombolevskiy, ... Interpretability of Machine Intelligence in Medical Image Computing and …, 2019 | 23 | 2019 |
| Quantification of epicardial adipose tissue in low-dose computed tomography images M Goncharov, V Chernina, M Pisov, V Gombolevskiy, S Morozov, ... International Conference on Medical Imaging and Computer-Aided Diagnosis, 98-107, 2021 | 4 | 2021 |
| vox2vec: A framework for self-supervised contrastive learning of voxel-level representations in medical images M Goncharov, V Soboleva, A Kurmukov, M Pisov, M Belyaev International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support M Pisov, M Goncharov, N Kurochkina, S Morozov, V Gombolevsky, ... Springer, 2019 | 2 | 2019 |
| Detection of Lung Cancer Cases in Chest CT Scans Utilizing Artificial Intelligence: A Retrospective Analysis of Data During the COVID-19 Pandemic RA Zukov, IP Safontsev, MP Klimenok, TE Zabrodskaya, NA Merkulova, ... medRxiv, 2023.12. 26.23299170, 2023 | | 2023 |
| Brain Midline Estimation with CNN and CRF S Shimovolos, M Goncharov, M Pisov, M Belyaev Информационные технологии и системы 2019 (ИТиС 2019), 420-427, 2019 | | 2019 |
| Ensembling Convolutional Neural Networks for Ischemic Stroke Lesion Segmentation Based on CT Images M Goncharov, M Pisov, M Belyaev ИТиС 2018, 85-89, 2018 | | 2018 |
Maxim PisovCTO @ AUMI AIVerified email at aumi.ai
