| CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation AE Kavur, NS Gezer, M Barış, S Aslan, PH Conze, V Groza, DD Pham, ... Medical Image Analysis 69, 101950, 2021 | 460 | 2021 |
| Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde Bozdagı Akar, Gözde Unal, Oguz Dicle, and M. Alper Selver. CHAOS Challenge … AE Kavur, NS Gezer, M Barıs, S Aslan, PH Conze, V Groza, DD Pham, ... Medical Image Analysis 69 (101950), 16, 2021 | 16 | 2021 |
| Pneumothorax segmentation with effective conditioned post-processing in chest X-ray V Groza, A Kuzin 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020 | 14 | 2020 |
| Data preprocessing via multi-sequences MRI mixture to improve brain tumor segmentation V Groza, B Tuchinov, E Pavlovskiy, E Amelina, M Amelin, S Golushko, ... Bioinformatics and Biomedical Engineering: 8th International Work-Conference …, 2020 | 14 | 2020 |
| Multi-class brain tumor segmentation via multi-sequences MRI mixture data preprocessing A Letyagin, S Golushko, M Amelin, B Tuchinov, E Amelina, ... 2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB), 185-189, 2020 | 10 | 2020 |
| Comparison of deep learning-based techniques for organ segmentation in abdominal CT images V Groza, T Brosch, D Eschweiler, H Schulz, S Renisch, H Nickisch | 9 | 2018 |
| Optimal parameters identification and sensitivity study for abrasive waterjet milling model D Auroux, V Groza Inverse Problems in Science and Engineering 25 (11), 1560-1576, 2017 | 9 | 2017 |
| Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing MA Vladimir Groza, Bair Tuchinov, Evgeniya Amelina, Evgeniy Pavlovskiy ... Lecture Notes in Computer Science 12659 (part II), 148-157, 2021 | 7* | 2021 |
| Data preprocessing via compositions multi-channel mri images to improve brain tumor segmentation N Tolstokulakov, E Pavlovskiy, B Tuchinov, E Amelina, M Amelin, ... 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020 | 4 | 2020 |
| Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks S Pnev, V Groza, B Tuchinov, E Amelina, E Pavlovskiy, N Tolstokulakov, ... 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 2 | 2022 |
| Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing S Pnev, V Groza, B Tuchinov, E Amelina, E Pavlovskiy, N Tolstokulakov, ... International MICCAI Brainlesion Workshop, 267-275, 2021 | 2 | 2021 |
| Sensitivity studies and parameters identification for noisy 3D moving AWJM model D Auroux, V Groza International Journal of Engineering Mathematics 2016, 2016 | 2 | 2016 |
| 3D-morphomics, morphological features on CT scans for lung nodule malignancy diagnosis E Munoz, P Baudot, VK Le, C Voyton, B Renoust, D Francis, V Groza, ... MICCAI Workshop on Cancer Prevention through Early Detection, 3-13, 2022 | 1 | 2022 |
| Machine learning based biomarkers to predict CD8 infiltration in non-small cell lung cancers using CT imaging. NB Yan Liu, Danny Francis, Vladimir Groza, Charles Voyton, Afef Baili-Laya ... Journal of Clinical Oncology 39 (15 suppl), 2021 | 1 | 2021 |
| System and method for patients stratification through machine-learning immune checkpoint inhibitor response prediction N Boujemaa, B Huet, V Groza, D Francis US Patent App. 18/040,930, 2023 | | 2023 |
| Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods A Letyagin, E Amelina, B Tuchinov, V Groza, M Amelin, S Golushko, ... 2023 IEEE Ural-Siberian Conference on Computational Technologies in …, 2023 | | 2023 |
| 3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis B Renoust, D Francis, V Groza, JC Brisset, E Geremia, A Iannessi, Y Liu, ... Cancer Prevention Through Early Detection: First International Workshop …, 2022 | | 2022 |
| Multi-class abdominal aortic aneurysm segmentation via 3D neural networks B Tuchinov, E Amelina, S Pnev, V Groza, N Nikitin, A Karpenko Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB …, 2022 | | 2022 |
| Artificial intelligence (AI) of 3D MRI images for neurooncology AY Letyagin, EV Amelina, BN Tuchinov, NY Tolstokulakov, ME Amelin, ... Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB …, 2022 | | 2022 |
| Brain tumor classification on the patient level using attention-based AI methods and multi-sequences MRI V Groza, BT Nikolaevich, E Amelina, EN Pavlovskiy, N Tolstokulakov, ... | | 2021 |
Evgeniy PavlovskiyNovosibirsk State UniversityVerified email at post.nsu.ru
