| Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning G Li, H Wang, M Zhang, S Tupin, A Qiao, Y Liu, M Ohta, H Anzai Communications biology 4 (1), 99, 2021 | 110 | 2021 |
| Haemodynamic effects of stent diameter and compaction ratio on flow-diversion treatment of intracranial aneurysms: a numerical study of a successful and an unsuccessful case M Zhang, Y Li, X Zhao, DI Verrelli, W Chong, M Ohta, Y Qian Journal of biomechanics 58, 179-186, 2017 | 38 | 2017 |
| Numerical simulation of aneurysmal haemodynamics with calibrated porous-medium models of flow-diverting stents Y Li, M Zhang, DI Verrelli, W Chong, M Ohta, Y Qian Journal of biomechanics 80, 88-94, 2018 | 37 | 2018 |
| Towards the patient-specific design of flow diverters made from helix-like wires: an optimization study M Zhang, H Anzai, B Chopard, M Ohta Biomedical engineering online 15, 371-382, 2016 | 29 | 2016 |
| Hemodynamic effects of the anastomoses in the modified Blalock–Taussig shunt: a numerical study using a 0D/3D coupling method X Zhao, Y Liu, J Ding, X Ren, F Bai, M Zhang, L Ma, W Wang, J Xie, ... Journal of Mechanics in Medicine and Biology 15 (01), 1550017, 2015 | 29 | 2015 |
| A deep learning–based automatic system for intracranial aneurysms diagnosis on three‐dimensional digital subtraction angiographic images C Ou, Y Qian, W Chong, X Hou, M Zhang, X Zhang, W Si, CZ Duan Medical physics 49 (11), 7038-7053, 2022 | 17 | 2022 |
| Implementation of computer simulation to assess flow diversion treatment outcomes: systematic review and meta-analysis M Zhang, S Tupin, H Anzai, Y Kohata, M Shojima, K Suzuki, Y Okamoto, ... Journal of NeuroInterventional Surgery 13 (2), 164-170, 2021 | 15 | 2021 |
| Deep learning assisted diagnosis of musculoskeletal tumors based on contrast‐enhanced magnetic resonance imaging K Zhao, M Zhang, Z Xie, X Yan, S Wu, P Liao, H Lu, W Shen, C Fu, H Cui, ... Journal of Magnetic Resonance Imaging 56 (1), 99-107, 2022 | 14 | 2022 |
| Development, validation, and comparison of image-based, clinical feature-based and fusion artificial intelligence diagnostic models in differentiating benign and malignant … X Wang, M Gao, J Xie, Y Deng, W Tu, H Yang, S Liang, P Xu, M Zhang, ... Frontiers in oncology 12, 892890, 2022 | 11 | 2022 |
| Reliability of using generic flow conditions to quantify aneurysmal haemodynamics: a comparison against simulations incorporating boundary conditions measured in vivo B Li, T Liu, J Liu, Y Liu, B Cao, X Zhao, W Wang, M Shi, L Zhang, K Xu, ... Computer Methods and Programs in Biomedicine 225, 107034, 2022 | 10 | 2022 |
| Associations between local haemodynamics and carotid intraplaque haemorrhage with different stenosis severities: a preliminary study based on MRI and CFD Y Dai, Y Qian, M Zhang, Y Li, P Lv, X Tang, A Javadzadegan, J Lin Journal of Clinical Neuroscience 66, 220-225, 2019 | 9 | 2019 |
| Comparison and verification of two deep learning models for the detection of chest CT rib fractures S Hongbiao, X Shaochun, W Xiang, T YuRun, L Yang, Z Mingzi, Y Hua, ... Acta Radiologica 64 (2), 542-551, 2023 | 8 | 2023 |
| Non-invasive quantification of fraction flow reserve based on steady-state geometric multiscale models J Liu, X Wang, B Li, S Huang, H Sun, L Zhang, Y Sun, Z Liu, J Liu, L Wang, ... Frontiers in Physiology 13, 881826, 2022 | 8 | 2022 |
| CTA-based non-invasive estimation of pressure gradients across a CoA: a validation against cardiac catheterisation M Zhang, J Liu, H Zhang, DI Verrelli, Q Wang, L Hu, Y Li, M Ohta, J Liu, ... Journal of Cardiovascular Translational Research, 1-10, 2021 | 8 | 2021 |
| Evaluation of aneurysm rupture risk based upon flowrate-independent hemodynamic parameters: a multi-center pilot study M Zhang, X Hou, Y Qian, W Chong, X Zhang, CZ Duan, C Ou Journal of NeuroInterventional Surgery 15 (7), 695-700, 2023 | 7 | 2023 |
| Haemodynamics in a patient-specific intracranial aneurysm according to experimental and numerical approaches: A comparison of PIV, CFD and PC-MRI Y Li, Y Yoneyama, H Isoda, M Terada, T Kosugi, T Kosugi, M Zhang, ... Technology and Health Care 29 (2), 253-267, 2021 | 7 | 2021 |
| Hemodynamic influence of different pulmonary stenosis degree in Glenn procedure: a numerical study L Ma, Y Liu, X Zhao, X Ren, F Bai, J Ding, M Zhang, W Wang, J Xie, ... Advances in Mechanical Engineering 6, 472370, 2014 | 7 | 2014 |
| Automatic segmentation of kidney volume using multi-module hybrid based u-shape in polycystic kidney disease H Cui, Y Ma, M Yang, Y Lu, M Zhang, L Fu, C Fu, B Su, C He, C Xue, ... IEEE Access 11, 58113-58124, 2023 | 6 | 2023 |
| Incomplete stent expansion in flow‐diversion treatment affects aneurysmal haemodynamics: a quantitative comparison of treatments affected by different severities of … M Zhang, Y Li, S Sugiyama, DI Verrelli, Y Matsumoto, T Tominaga, Y Qian, ... International Journal for Numerical Methods in Biomedical Engineering 37 (7 …, 2021 | 6 | 2021 |
| Association between aneurysmal haemodynamics and device microstructural characteristics after flow-diversion treatments with dual stents of different sizes: A numerical study M Zhang, S Tupin, Y Li, M Ohta Frontiers in Physiology 12, 663668, 2021 | 6 | 2021 |
Makoto OhtaTohoku UniversityZweryfikowany adres z tohoku.ac.jp