A clinical study of minimal blood flow clamping combined with 3D printing technology in laparoscopic nephron-sparing surgery

Authors: Lingbo Yang, Pengtao Wei, Xiaohui Li, Jiantao Sun

Source: Frontiers in Oncology, Vol 14 (2025)

Subject Terms: minimal blood flow clamping technology, highly selective renal artery clamping technology, nephron-sparing surgery, renal function, 3D printing technology, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

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Relation: https://www.frontiersin.org/articles/10.3389/fonc.2024.1520140/full; https://doaj.org/toc/2234-943X

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High-Precision Tea Plantation Mapping with Multi-Source Remote Sensing and Deep Learning

Authors: Yicheng Zhou, Lingbo Yang, Lin Yuan, Xin Li, Yihu Mao, Jiancong Dong, Zhenyu Lin, Xianfeng Zhou

Source: Agronomy, Vol 14, Iss 12, p 2986 (2024)

Subject Terms: tea plantation mapping, multi-source remote sensing, deep learning, semantic segmentation, agricultural monitoring, DEM, Agriculture

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Relation: https://www.mdpi.com/2073-4395/14/12/2986; https://doaj.org/toc/2073-4395

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Efficient co-registration of UAV and ground LiDAR forest point clouds based on canopy shapes

Authors: Jie Shao, Wei Yao, Peng Wan, Lei Luo, Puzuo Wang, Lingbo Yang, Jiaxin Lyu, Wuming Zhang

Source: International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103067- (2022)

Subject Terms: Forest, UAV LiDAR, Ground LiDAR, Point cloud registration, Canopy shape, Physical geography, GB3-5030, Environmental sciences, GE1-350

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Relation: http://www.sciencedirect.com/science/article/pii/S1569843222002552; https://doaj.org/toc/1569-8432

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Evaluation of machine learning models for rice dry biomass estimation and mapping using quad-source optical imagery

Authors: Lamin R. Mansaray, Adam Sheka Kanu, Lingbo Yang, Jingfeng Huang, Fumin Wang

Source: GIScience & Remote Sensing, Vol 57, Iss 6, Pp 785-796 (2020)

Subject Terms: paddy rice, dry biomass, optical satellite, quad-source imagery, machine learning, Mathematical geography. Cartography, GA1-1776, Environmental sciences, GE1-350

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Relation: https://doaj.org/toc/1548-1603; https://doaj.org/toc/1943-7226

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Inter-Continental Transfer of Pre-Trained Deep Learning Rice Mapping Model and Its Generalization Ability

Authors: Lingbo Yang, Ran Huang, Jingcheng Zhang, Jingfeng Huang, Limin Wang, Jiancong Dong, Jie Shao

Source: Remote Sensing, Vol 15, Iss 9, p 2443 (2023)

Subject Terms: deep learning, rice mapping, generalization ability, inter-continental transfer, Sentinel-1, temporal feature-based segmentation, Science

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Relation: https://www.mdpi.com/2072-4292/15/9/2443; https://doaj.org/toc/2072-4292

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Effect of Mg Contents on the Microstructure, Mechanical Properties and Cytocompatibility of Degradable Zn-0.5Mn-xMg Alloy

Authors: Lingbo Yang, Xing Li, Lijing Yang, Xinglong Zhu, Manli Wang, Zhenlun Song, Huinan Hannah Liu, Wensheng Sun, Ruihong Dong, Jiqiang Yue

Source: Journal of Functional Biomaterials, Vol 14, Iss 4, p 195 (2023)

Subject Terms: strength, Zn-Mn-Mg alloys, Mg2Zn11, corrosion properties, cytocompatibility, Biotechnology, TP248.13-248.65, Medicine (General), R5-920

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Relation: https://www.mdpi.com/2079-4983/14/4/195; https://doaj.org/toc/2079-4983

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Prediction of Soil Moisture Content from Sentinel-2 Images Using Convolutional Neural Network (CNN)

Authors: Ehab H. Hegazi, Abdellateif A. Samak, Lingbo Yang, Ran Huang, Jingfeng Huang

Source: Agronomy, Vol 13, Iss 3, p 656 (2023)

Subject Terms: smart agriculture, remote sensing, soil moisture content, Sentinel-2, Google Earth Engine, artificial intelligence, Agriculture

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Relation: https://www.mdpi.com/2073-4395/13/3/656; https://doaj.org/toc/2073-4395

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Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery

Authors: Lamin R. Mansaray, Lingbo Yang, Victor T. S. Kabba, Adam S. Kanu, Jingfeng Huang, Fumin Wang

Source: GIScience & Remote Sensing, Vol 56, Iss 8, Pp 1333-1354 (2019)

Subject Terms: rice mapping, cloud-prone environment, optical, microwave, satellite, Mathematical geography. Cartography, GA1-1776, Environmental sciences, GE1-350

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Relation: https://doaj.org/toc/1548-1603; https://doaj.org/toc/1943-7226

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A Novel Operational Rice Mapping Method Based on Multi-Source Satellite Images and Object-Oriented Classification

Authors: Yanyan Shen, Jingcheng Zhang, Lingbo Yang, Xiaoxuan Zhou, Huizi Li, Xingjian Zhou

Source: Agronomy, Vol 12, Iss 12, p 3010 (2022)

Subject Terms: rice mapping, data fusion, multi-scale image segmentation, operational system, Agriculture

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Relation: https://www.mdpi.com/2073-4395/12/12/3010; https://doaj.org/toc/2073-4395

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Dynamic Mapping of Paddy Rice Using Multi-Temporal Landsat Data Based on a Deep Semantic Segmentation Model

Authors: Meiqi Du, Jingfeng Huang, Pengliang Wei, Lingbo Yang, Dengfeng Chai, Dailiang Peng, Jinming Sha, Weiwei Sun, Ran Huang

Source: Agronomy, Vol 12, Iss 7, p 1583 (2022)

Subject Terms: paddy rice, U-net, time series, semantic segmentation, Agriculture

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Relation: https://www.mdpi.com/2073-4395/12/7/1583; https://doaj.org/toc/2073-4395

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A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images

Authors: Ehab H. Hegazi, Lingbo Yang, Jingfeng Huang

Source: Remote Sensing, Vol 13, Iss 24, p 4964 (2021)

Subject Terms: remote sensing, Sentinel-1, artificial intelligence, convolutional neural network (CNN), soil moisture, Science

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Relation: https://www.mdpi.com/2072-4292/13/24/4964; https://doaj.org/toc/2072-4292

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A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data

Authors: Wenjie Li, Jingfeng Huang, Lingbo Yang, Yan Chen, Yahua Fang, Hongwei Jin, Han Sun, Ran Huang

Source: Remote Sensing, Vol 13, Iss 16, p 3231 (2021)

Subject Terms: late frost, LST retrieval, data fusion, remote sensing monitoring, extraction, wine grape, Science

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Relation: https://www.mdpi.com/2072-4292/13/16/3231; https://doaj.org/toc/2072-4292

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High-Resolution Rice Mapping Based on SNIC Segmentation and Multi-Source Remote Sensing Images

Authors: Lingbo Yang, Limin Wang, Ghali Abdullahi Abubakar, Jingfeng Huang

Source: Remote Sensing, Vol 13, Iss 6, p 1148 (2021)

Subject Terms: high-resolution, Simple Non-Iterative Clustering, superpixel-based classification, superpixel size, multi-source, Science

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Relation: https://www.mdpi.com/2072-4292/13/6/1148; https://doaj.org/toc/2072-4292

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Toward High Altitude Airship Ground-Based Boresight Calibration of Hyperspectral Pushbroom Imaging Sensors

Authors: Aiwu Zhang, Shaoxing Hu, Xiangang Meng, Lingbo Yang, Hanlun Li

Source: Remote Sensing, Vol 7, Iss 12, Pp 17297-17311 (2015)

Subject Terms: pushbroom imaging, boresight calibration, direct georeferencing, orthorectification, high altitude airship, Science

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Relation: http://www.mdpi.com/2072-4292/7/12/15883; https://doaj.org/toc/2072-4292

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Optimal Segmentation Scale Parameter, Feature Subset and Classification Algorithm for Geographic Object-Based Crop Recognition Using Multisource Satellite Imagery

Authors: Lingbo Yang, Lamin R. Mansaray, Jingfeng Huang, Limin Wang

Source: Remote Sensing, Vol 11, Iss 5, p 514 (2019)

Subject Terms: GEOBIA, optimal segmentation scale parameter, iEnRFE, feature selection, multisource satellite data, crop recognition, Science

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Relation: http://www.mdpi.com/2072-4292/11/5/514; https://doaj.org/toc/2072-4292

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Crop Classification Based on a Novel Feature Filtering and Enhancement Method

Authors: Limin Wang, Qinghan Dong, Lingbo Yang, Jianmeng Gao, Jia Liu

Source: Remote Sensing, Vol 11, Iss 4, p 455 (2019)

Subject Terms: Feature enhancement, feature filtering, probability density function, crop classification, supervised classification method, random forest, Science

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Relation: https://www.mdpi.com/2072-4292/11/4/455; https://doaj.org/toc/2072-4292

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Comparative study on crop recognition of LandSat-OLI and RapidEye data

Authors: Jia, Liu, Limin, Wang, Baomin, Yao, Fugang, Yang, Lingbo, Yang, Qinghan, Dong

Source: 2017 6th International Conference on Agro-Geoinformatics Agro-Geoinformatics, 2017 6th International Conference on. :1-6 Aug, 2017

Relation: 2017 6th International Conference on Agro-Geoinformatics

MALT1 Positively Relates to T Helper 1 and T Helper 17 cells, and Serves as a Potential Biomarker for Predicting 30-Day Mortality in Stanford Type A Aortic Dissection Patients.

Authors: Junqing Zong, Lingbo Yang, Lei Wei, Dong Wang, Xuening Wang, Zhongjie Zhang

Source: Tohoku Journal of Experimental Medicine; Dec2023, Vol. 261 Issue 4, p299-307, 9p

Rice biophysical parameter retrieval with optical satellite imagery: a comparative assessment of parametric and non-parametric models.

Authors: Mansaray, Lamin R., Kabba, Victor T. S., Lingbo Yang

Source: Geocarto International; 2022, Vol. 37 Issue 26, p13561-13578, 18p

Subject Terms: REMOTE-sensing images, PARAMETRIC modeling, LEAF area index, RICE straw

Total Arch Replacement Combined with Stented Elephant Trunk Implantation for Acute Type A Aortic Dissection in an Octogenarian Patient.

Authors: Zhifa Zheng, Yuyuan Hu, Xinmeng Cheng, Tao Yang, Nan Wu, Lingbo Yang, Xuening Wang

Source: Heart Surgery Forum; 2022, Vol. 25 Issue 3, pE391-E394, 4p