Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response N Vladimirov, O Perlman International Journal of Molecular Sciences 24 (4), 3151, 2023 | 14 | 2023 |
CNN‐based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures N Vladimirov, E Brui, A Levchuk, W Al‐Haidri, V Fokin, A Efimtcev, ... Magnetic Resonance in Medicine 90 (2), 737-751, 2023 | 7 | 2023 |
Dynamic and rapid deep synthesis of chemical exchange saturation transfer and semisolid magnetization transfer MRI signals D Nagar, N Vladimirov, CT Farrar, O Perlman Scientific Reports 13 (1), 18291, 2023 | 5 | 2023 |
Quantitative Molecular Imaging using Deep Magnetic Resonance Fingerprinting N Vladimirov, O Cohen, HY Heo, M Zaiss, CT Farrar, O Perlman | 1 | 2024 |
Wrist cartilage segmentation using U-net convolutional neural networks enriched with attention layers N Vladimirov, E Brui, A Levchuk, A Efimtsev, D Bendahan Soc Mag Reson Med 30, 2969, 2022 | 1 | 2022 |
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning A Finkelstein, N Vladimirov, M Zaiss, O Perlman arXiv preprint arXiv:2411.06447, 2024 | | 2024 |
Neural Bloch-McConnell fitting (NBMF): unsupervised test-time learning of clinical semisolid MT/CEST MRF reconstruction A Finkelstein, N Vladimirov, S Weinmüller, M Zaiss, O Perlman | | 2024 |
Fully automatic segmentation of post-infarction fibrosis in post-contrast magnetic resonance images of heart: preliminary study AG Levchuk, D Bendahan, AV Ryzhkov, VA Fokin, N Vladimirov, ... 2022 IEEE International Multi-Conference on Engineering, Computer and …, 2022 | | 2022 |
CNN-based fully automatic wrist cartilage volume quantification in MR Image N Vladimirov, E Brui, A Levchuk, V Fokin, A Efimtcev, D Bendahan arXiv preprint arXiv:2206.11127, 2022 | | 2022 |
Clinical Pulsed CEST MRF Optimization using the Cramer-Rao Bound and Sequential Quadratic Programming N Vladimirov, S Weinmüller, M Zaiss, O Perlman | | |
Wrist cartilage segmentation using U-Net convolutional neural networks N Vladimirov, EA Brui | | |