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Vladimir Groza

CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
2020 · A. Emre Kavur, N. Sinem Gezer, et al. · Medical Image Analysis · 832
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Pneumothorax Segmentation with Effective Conditioned Post-Processing in Chest X-Ray
2020 · Vladimir GROZA, Artur KUZIN · 17
Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
2020 · Vladimir Groza, Bair Tuchinov, et al. · Lecture notes in computer science · 13
Comparison of deep learning-based techniques for organ segmentation in abdominal CT images
2018 · Vladimir Groza, Tom Brosch, et al. · 10
Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing
2020 · Andrey Letyagin, Sergey Golushko, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 7
3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis
2022 · Elias Munoz, Pierre Baudot, et al. · Lecture notes in computer science · 5
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Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation
2020 · N. Tolstokulakov, E. Pavlovskiy, et al. · 5
Optimal parameters identification and sensitivity study for abrasive waterjet milling model
2016 · D. Auroux, V. Groza · Inverse Problems in Science and Engineering · 5
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Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence
2022 · E. V. Amelina, A. Yu. Letyagin, et al. · Сибирский научный медицинский журнал · 4
Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing
2021 · Vladimir Groza, Bair Tuchinov, et al. · Lecture notes in computer science · 4
Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks
2022 · Sergey Pnev, Vladimir Groza, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 3
Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing
2022 · Sergey Pnev, Vladimir Groza, et al. · Lecture notes in computer science · 2
Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods
2023 · Andrey Letyagin, Evgeniya Amelina, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 1
3D Visualization of Brain Tumors via Artificial Intelligence
2021 · Andrey Letyagin, Evgeniya Amelina, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 1
Machine learning based biomarkers to predict CD8 infiltration in non-small cell lung cancers using CT imaging.
2021 · Yan Liu, Danny Francis, et al. · Journal of Clinical Oncology · 1
Chest X-Ray Pneumothorax Segmentation with the Multistep Post-Processing
2020 · Vladimir Groza, A. A. Kuzin · 1
Enhancing Early Liver Cancer Diagnosis: AI-Based Detection of Small Malignant Lesions on Contrast-Enhanced CT
2026 · Sébastien Poullot, Ezequiel Geremia, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)
Технология Искусственного Интеллекта Для Предоперационного Анализа Мрт-изображений В Нейроонкологии
2024 · Ю. ЛЕТЯГИН А, К. ГОЛУШКО С, et al. · Сибирское отделение РАН eBooks
1209MO Computer-aided HCC lesion detection based on deep learning and CT images
2023 · O. Lucidarme, T. Broussaud, et al. · Annals of Oncology
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A Model-Strengthened Imaging Biomarker for Survival Prediction in EGFR-Mutated Non-small-cell Lung Carcinoma Patients Treated with Tyrosine Kinase Inhibitors
2021 · Annabelle Collin, Vladimir Groza, et al. · Bulletin of Mathematical Biology
A novel imaging biomarker for survival prediction in EGFR-mutated NSCLC patients treated with TKI
2019 · Annabelle Collin, Vladimir Groza, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Identification de paramètres et analyses de sensibilité pour un modèle d'usinage par jet d'eau abrasif
2016 · Vladimir Groza · HAL
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Identification of unknown model parameters and sensitivity analysis for abrasive waterjet milling process
2016 · Vladimir Groza
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Sensitivity Studies and Parameters Identification for Noisy 3D Moving AWJM Model
2016 · Didier Auroux, Vladimir Groza · International Journal of Engineering Mathematics
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Parameters Identification and Sensitivity Study for Abrasive WaterJet Milling Model
2016 · Didier Auroux, Vladimir Groza · World Academy of Science, Engineering and Technology, International Journal of Aerospace and Mechanical Engineering
Works count: 30
Citation count: 911
H-index: 5
I10-index: 4
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