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257 results on '"Wang, JinDa"'

11. Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images

Author

Liu, Huabing, Nie, Dong, Shen, Dinggang, Wang, Jinda, Tang, Zhenyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Linwei, editor, Dou, Qi, editor, Fletcher, P. Thomas, editor, Speidel, Stefanie, editor, and Li, Shuo, editor

Published
2022
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15. An Anti-Wing Flexure Velocity+Attitude Matching Rapid Transfer Alignment Algorithm

Author

Cheng Haibin,Lu Hao,Wang Jinda

Subjects
sins, transfer alignment, flexure, low-pass filter, guidance, tactical missile, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

In order to improve the transfer alignment speed and accuracy of airborne missile strapdown inertial navigation system under strong interference, an improved rapid transfer alignment algorithm is designed, which can adapt to the strong flexure and vibration environment of the wings, wing pylons and so on under the actual flight conditions.The error equation of velocity + attitude matching alignment algorithm and the observation equation of attitude matching algorithm are given. In order to eliminate the adverse effects of wing flexure and vibration on the algorithm, the Butterworth low-pass filter is introduced into the field of transfer alignment. This method significantly enhances the robustness of the algorithm and improves the filter accuracy of the algorithm in the harsh vibration environment. Contrast simulation results show that even there is strong interference of wing flexure, the estimation error of misalignment angle can converge to 3' within 5 s under the excitation of the aircraft wing maneuver.The algorithm does not reduce the rapidity and the estimation accuracy of the transfer alignment, effectively solves the problem that the velocity+attitude matching algorithm is sensitive to the flexure and vibration of the wing.

Published
2021
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31. A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping

Author

Liu, Huabing, Nie, Dong, Yang, Jian, Wang, Jinda, and Tang, Zhenyu

Abstract

Deep learning based multi-atlas segmentation (DL-MA) has achieved the state-of-the-art performance in many medical image segmentation tasks, e.g., brain parcellation. In DL-MA methods, atlas-target correspondence is the key for accurate segmentation. In most existing DL-MA methods, such correspondence is usually established using traditional or deep learning based registration methods at image level with no further feature level adaption. This could cause possible atlas-target feature inconsistency. As a result, the information from atlases often has limited positive and even counteractive impact on the final segmentation results. To tackle this issue, in this paper, we propose a new DL-MA framework, where a novel differentiable atlas feature warping module with a new smooth regularization term is presented to establish feature level atlas-target correspondence. Comparing with the existing DL-MA methods, in our framework, atlas features containing anatomical prior knowledge are more relevant to the target image feature, leading the final segmentation results to a high accuracy level. We evaluate our framework in the context of brain parcellation using two public MR brain image datasets: LPBA40 and NIREP-NA0. The experimental results demonstrate that our framework outperforms both traditional multi-atlas segmentation (MAS) and state-of-the-art DL-MA methods with statistical significance. Further ablation studies confirm the effectiveness of the proposed differentiable atlas feature warping module.

Published
2024
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35. Additional file 1 of HOTAIR regulates SIRT3-mediated cardiomyocyte survival after myocardial ischemia/reperfusion by interacting with FUS

Author

Liu, Jixuan, Sun, Mingzhuang, Wang, Jinda, Sun, Zhijun, and Wang, Gang

Abstract

Additional file 1: Supplementary Figure 1. Theoriginal blots of Fig. 1B were presented. Supplementary Figure 2. (A) The original blots of Fig. 2B were presented. (B) The original blots of Fig. 2F were presented. Supplementary Figure 3. The original blots of Fig. 3C were presented. Supplementary Figure 4. (A) The original blots of Fig. 4B were presented. (B) The original blots of Fig. 4C were presented. (C) The original blots of Fig. 4E were presented. Supplementary Figure 5. The original blots of Fig. 5D were presented. Supplementary Figure 6. The original blots of Fig. 6C were presented.

Published
2023
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36. NIR-triggered drug delivery system for chemo-photothermal therapy of posterior capsule opacification

Author

Liang Qing-Feng, Zhang Jing-shang, Gao Fei, Wan Xiuhua, Chen Shu-Ying, Wang Jinda, Wang Kai-Jie, Liu Xu, Li Meng, and Mao Ying-Yan

Subjects
medicine.medical_specialty, genetic structures, Combination therapy, Photothermal Therapy, medicine.medical_treatment, Pharmaceutical Science, Intraocular lens, Prosthesis Design, Cataract, Black phosphorus, Drug Delivery Systems, In vivo, Ophthalmology, Animals, Medicine, Doxorubicin, Posterior capsule opacification, business.industry, Capsule Opacification, Photothermal therapy, equipment and supplies, eye diseases, Drug Liberation, Drug delivery, Rabbits, business, medicine.drug
Abstract

Posterior capsule opacification (PCO) is the most common complication after cataract surgery and is likely to cause the second loss of vision. Pharmacological PCO prophylaxis has been proved to be effective, yet no clinical option is available due to the lack of a suitable mode of administration. In this work, we propose a unique concept of NIR dual-triggered drug release from black phosphorus (BP)-based implantable intraocular lens (IOL) for controlled drug release and chemo-photothermal combination therapy of PCO. Here, IOL is used as a “reservoir” of doxorubicin-loaded black phosphorus (BP-DOX), and BP is used as NIR activation agent for controlled drug release and photothermal therapy. This BP-DOX integrated IOL, namely BP-DOX@IOL, shows the characteristics of good transmittance, good mechanical property, NIR dual-triggered drug release behaviors, and excellent photothermal efficacy. In vivo studies reveal that there is no PCO occurrence in rabbits' model by using BP-DOX@IOL combined NIR irradiation, which exhibits distinct superiority on inhibiting PCO than the control group (100% PCO occurrence) 28 days post-surgery. This novel IOL drug delivery system would be a promising strategy for the future clinical application for PCO prophylaxis and treatment.

Published
2021

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