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Publication search results
found 69 matches
- 2024
- Oke Gerke, Sören Möller:
Modeling Bland-Altman Limits of Agreement with Fractional Polynomials - An Example with the Agatston Score for Coronary Calcification. Axioms 12(9): 884 (2024) - Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, Honghe Li:
DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography. Comput. Methods Programs Biomed. 243: 107882 (2024) - 2023
- Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori:
Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division. Algorithms 16(10): 483 (2023) - Ryo Oikawa, Akio Doi, Masaru Ishida, Basabi Chakraborty:
Automatic detection and visualization system for coronary artery calcification using optical frequency domain imaging. Artif. Life Robotics 28(2): 460-470 (2023) - Ying Zhang, Ping Liu, Li-Jia Tang, Pei-Min Lin, Run Li, Huai-Rong Luo, Pei Luo:
Basing on the machine learning model to analyse the coronary calcification score and the coronary flow reserve score to evaluate the degree of coronary artery stenosis. Comput. Biol. Medicine 163: 107130 (2023) - D. Banumathy, Osamah Ibrahim Khalaf, Carlos Andrés Tavera Romero, P. Vishnu Raja, Dilip Kumar Sharma:
Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN. Comput. Syst. Sci. Eng. 44(1): 595-612 (2023) - P. Gomathi, C. Muniraj, P. S. Periasamy:
Micro Calcification Detection in Mammogram Images Using Contiguous Convolutional Neural Network Algorithm. Comput. Syst. Sci. Eng. 45(2): 1887-1899 (2023) - Sarah A. Vollert, Christopher C. Drovandi, Gloria M. Monsalve-Bravo, Matthew P. Adams:
Strategic model reduction by analysing model sloppiness: A case study in coral calcification. Environ. Model. Softw. 159: 105578 (2023) - Qiong Dai, Wei Ai, Kun Yuan, Min Jia, Jingwu Sun:
Computed tomography image and mechanism of spiral neuron T-type calcification channel of elderly patient with senile sudden deafness under embedded system combined with artificial intelligence algorithm. Expert Syst. J. Knowl. Eng. 40(4) (2023) - Manal AlAmir, Manal Al Ghamdi, Fernando Collado-Mesa, Mohamed Abdel-Mottaleb:
Difference-of-Gaussian generative adversarial network for segmenting breast arterial calcifications in mammograms. Expert Syst. Appl. 217: 119506 (2023) - Asmae Mama Zair, Assia Bouzouad Cherfa, Yazid Cherfa, Noureddine Belkhamsa:
An automated segmentation of coronary artery calcification using deep learning in specific region limitation. Medical Biol. Eng. Comput. 61(7): 1687-1696 (2023) - Kavita R. Hegde, Krishanu Ray, Henryk Szmacinski, Sharon Sorto, Adam C. Puche, Imre Lengyel, Richard B. Thompson:
Two-Photon Excited Fluorescence Lifetime Imaging of Tetracycline-Labeled Retinal Calcification. Sensors 23(14): 6626 (2023) - Hao Du, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, Mengling Feng:
Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network. IEEE J. Biomed. Health Informatics 27(8): 3782-3793 (2023) - M. C. Shanker, M. Vadivel:
Micro-Calcification Classification Analysis in Mammogram Images with Aid of Hybrid Technique Analysis. Wirel. Pers. Commun. 128(2): 1287-1307 (2023) - 2022
- Krunoslav Michael Sveric, Ivan Platzek, Elena Golgor, Ralf-Thorsten Hoffmann, Axel Linke, Stefanie Jellinghaus:
Purposeful use of multimodality imaging in the diagnosis of caseous mitral annular calcification: a case series report. BMC Medical Imaging 22(1): 7 (2022) - Yuan Huang, Sven A. Holcombe, Qing Zhou, Stewart C. Wang, Jisi Tang, Bingbing Nie:
A GAN based approach for inferring progression trajectories of costal cartilage calcification from cross-sectional data at image level. Comput. Biol. Medicine 146: 105647 (2022) - Yue Huang, YingBo Ren, Hai Yang, YiJie Ding, Yan Liu, YunChun Yang, AnQiong Mao, Tan Yang, YingZi Wang, Feng Xiao, QiZhou He, Ying Zhang:
Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment. Comput. Biol. Medicine 151(Part): 106297 (2022) - Kalyani Marathe, Chrysostomos Marasinou, Beibin Li, Noor Nakhaei, Bo Li, Joann G. Elmore, Linda G. Shapiro, William Hsu:
Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. Comput. Biol. Medicine 146: 105504 (2022) - Wenhai Weng, Yijie Ku, Zhong Chen, Huanqin Zheng, Chuang Xu, Hui Ding, Lei Li, Guangzhi Wang:
Superficial femoral artery calcification segmentation and detection in CT angiography using convolutional neural network. Comput. Biol. Medicine 148: 105951 (2022) - Justus Wolff, Julian O. Matschinske, Dietrich Baumgart, Anne Pytlik, Andreas Keck, Arunakiry Natarajan, Claudio E. von Schacky, Josch Pauling, Jan Baumbach:
Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores. J. Integr. Bioinform. 19(4) (2022) - Rui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. 69(5): 1639-1650 (2022) - Chao Li, Haibo Jia, Jinwei Tian, Chong He, Fang Lu, Kaiwen Li, Yubin Gong, Sining Hu, Bo Yu, Zhao Wang:
Comprehensive Assessment of Coronary Calcification in Intravascular OCT Using a Spatial-Temporal Encoder-Decoder Network. IEEE Trans. Medical Imaging 41(4): 857-868 (2022) - 2021
- Chatsuda Songsaeng, Piyanoot Woodtichartpreecha, Sitthichok Chaichulee:
Multi-Scale Convolutional Neural Networks for Classification of Digital Mammograms With Breast Calcifications. IEEE Access 9: 114741-114753 (2021) - Menyun Qiao, Zhou Fang, Yi Guo, Shichong Zhou, Cai Chang, Yuanyuan Wang:
Breast calcification detection based on multichannel radiofrequency signals via a unified deep learning framework. Expert Syst. Appl. 168: 114218 (2021) - Weiwei Zhang, Guang Yang, Nan Zhang, Lei Xu, Xiaoqing Wang, Yanping Zhang, Heye Zhang, Javier Del Ser, Victor Hugo C. de Albuquerque:
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis. Inf. Fusion 71: 64-76 (2021) - Jinn-Yi Yeh, Sheng-You Wu, Si-Wa Chan:
Using a Region Growth Algorithm and Deep Reinforcement Learning for Detecting Breast Arterial Calcification in Mammograms. J. Inf. Sci. Eng. 37(4): 753-777 (2021) - Wenxian Peng, Yijia Qian, Yingying Shi, Shuyun Chen, Kexin Chen, Han Xiao:
Differential Diagnosis of Malignant Thyroid Calcification Nodule Based on Computed Tomography Image Texture. J. Medical Imaging Health Informatics 11(3): 767-772 (2021) - Frank J. H. Gijsen, Bas Vis, Hilary E. Barrett, Amir Abbas Zadpoor, Hence J. Verhagen, Daniel Bos, Anton F. W. van der Steen, Ali Cagdas Akyildiz:
Morphometric and Mechanical Analyses of Calcifications and Fibrous Plaque Tissue in Carotid Arteries for Plaque Rupture Risk Assessment. IEEE Trans. Biomed. Eng. 68(4): 1429-1438 (2021) - 2020
- Kosmia Loizidou, Galateia Skouroumouni, Christos Nikolaou, Costas Pitris:
An Automated Breast Micro-Calcification Detection and Classification Technique Using Temporal Subtraction of Mammograms. IEEE Access 8: 52785-52795 (2020) - Yi Huang, Wenjun Yan, Menghua Xia, Yi Guo, Guohui Zhou, Yuanyuan Wang:
Vessel membrane segmentation and calcification location in intravascular ultrasound images using a region detector and an effective selection strategy. Comput. Methods Programs Biomed. 189: 105339 (2020)
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