Artykuły w czasopismach na temat „Echocardiography segmentation”
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Liao, Minqi, Yifan Lian, Yongzhao Yao, Lihua Chen, Fei Gao, Long Xu, Xin Huang, Xinxing Feng i Suxia Guo. "Left Ventricle Segmentation in Echocardiography with Transformer". Diagnostics 13, nr 14 (13.07.2023): 2365. http://dx.doi.org/10.3390/diagnostics13142365.
Pełny tekst źródłaHuang, Helin, Zhenyi Ge, Hairui Wang, Jing Wu, Chunqiang Hu, Nan Li, Xiaomei Wu i Cuizhen Pan. "Segmentation of Echocardiography Based on Deep Learning Model". Electronics 11, nr 11 (27.05.2022): 1714. http://dx.doi.org/10.3390/electronics11111714.
Pełny tekst źródłaOno, Shunzaburo, Masaaki Komatsu, Akira Sakai, Hideki Arima, Mie Ochida, Rina Aoyama, Suguru Yasutomi i in. "Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning". Biomedicines 10, nr 5 (6.05.2022): 1082. http://dx.doi.org/10.3390/biomedicines10051082.
Pełny tekst źródłaChen, Tongwaner, Menghua Xia, Yi Huang, Jing Jiao i Yuanyuan Wang. "Cross-Domain Echocardiography Segmentation with Multi-Space Joint Adaptation". Sensors 23, nr 3 (28.01.2023): 1479. http://dx.doi.org/10.3390/s23031479.
Pełny tekst źródłaWilczewska, Aleksandra, Szymon Cygan i Jakub Żmigrodzki. "Segmentation Enhanced Elastic Image Registration for 2D Speckle Tracking Echocardiography—Performance Study In Silico". Ultrasonic Imaging 44, nr 1 (styczeń 2022): 39–54. http://dx.doi.org/10.1177/01617346211068812.
Pełny tekst źródłaTuncay, V., N. Prakken, P. M. A. van Ooijen, R. P. J. Budde, T. Leiner i M. Oudkerk. "Semiautomatic, Quantitative Measurement of Aortic Valve Area Using CTA: Validation and Comparison with Transthoracic Echocardiography". BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/648283.
Pełny tekst źródłaEl rai, Marwa Chendeb, Muna Darweesh i Mina Al-Saad. "Semi-Supervised Segmentation of Echocardiography Videos Using Graph Signal Processing". Electronics 11, nr 21 (26.10.2022): 3462. http://dx.doi.org/10.3390/electronics11213462.
Pełny tekst źródłaHuang, Jun, Aiyue Huang, Ruqin Xu, Musheng Wu, Peng Wang i Qing Wang. "Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework". Bioengineering 10, nr 11 (16.11.2023): 1319. http://dx.doi.org/10.3390/bioengineering10111319.
Pełny tekst źródłaCai Ming, Huang Xiaoyang, Wang Boliang i Su Maolong. "Automatic Mitral Valve Leaflet Scallops Segmentation in Echocardiography". International Journal of Advancements in Computing Technology 5, nr 8 (30.04.2013): 687–94. http://dx.doi.org/10.4156/ijact.vol5.issue8.78.
Pełny tekst źródłaSkalski, Andrzej, i Paweł Turcza. "Heart Segmentation in Echo Images". Metrology and Measurement Systems 18, nr 2 (1.01.2011): 305–14. http://dx.doi.org/10.2478/v10178-011-0012-y.
Pełny tekst źródłaBarrile, V., F. Cotroneo, E. Genovese, E. Barrile i G. Bilotta. "AN AI SEGMENTER ON MEDICAL IMAGING FOR GEOMATICS APPLICATIONS CONSISTING OF A TWO-STATE PIPELINE, SNNS NETWORK AND WATERSHED ALGORITHM". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W3-2023 (12.05.2023): 21–26. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-21-2023.
Pełny tekst źródłaRachmatullah, M. N., Siti Nurmaini, A. I. Sapitri, A. Darmawahyuni, B. Tutuko i Firdaus Firdaus. "Convolutional neural network for semantic segmentation of fetal echocardiography based on four-chamber view". Bulletin of Electrical Engineering and Informatics 10, nr 4 (1.08.2021): 1987–96. http://dx.doi.org/10.11591/eei.v10i4.3060.
Pełny tekst źródłaCai, Junfeng, Xiahai Zhuang, Yuanyuan Nie, Zhe Luo i Lixu Gu. "Real-time aortic valve segmentation from transesophageal echocardiography sequence". International Journal of Computer Assisted Radiology and Surgery 10, nr 4 (3.08.2014): 447–58. http://dx.doi.org/10.1007/s11548-014-1104-y.
Pełny tekst źródłaValanrani, B. Arockia. "PREDICTING CARDIAC ISSUES FROM ECHOCARDIOGRAMS: A LITERATURE REVIEW USING DEEP LEARNING AND MACHINE LEARNING TECHNIQUES". international journal of advanced research in computer science 15, nr 1 (20.02.2024): 5–13. http://dx.doi.org/10.26483/ijarcs.v15i1.7040.
Pełny tekst źródłaDong, Suyu, Gongning Luo, Kuanquan Wang, Shaodong Cao, Qince Li i Henggui Zhang. "A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography". BioMed Research International 2018 (10.09.2018): 1–16. http://dx.doi.org/10.1155/2018/5682365.
Pełny tekst źródłaShoaib, Muhammad Ali, Joon Huang Chuah, Raza Ali, Samiappan Dhanalakshmi, Yan Chai Hum, Azira Khalil i Khin Wee Lai. "Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network". Life 13, nr 1 (1.01.2023): 124. http://dx.doi.org/10.3390/life13010124.
Pełny tekst źródłaTeng, Long, ZhongLiang Fu, Qian Ma, Yu Yao, Bing Zhang, Kai Zhu i Ping Li. "Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning". Computational and Mathematical Methods in Medicine 2020 (19.03.2020): 1–9. http://dx.doi.org/10.1155/2020/1487035.
Pełny tekst źródłaMortada, MHD Jafar, Selene Tomassini, Haidar Anbar, Micaela Morettini, Laura Burattini i Agnese Sbrollini. "Segmentation of Anatomical Structures of the Left Heart from Echocardiographic Images Using Deep Learning". Diagnostics 13, nr 10 (9.05.2023): 1683. http://dx.doi.org/10.3390/diagnostics13101683.
Pełny tekst źródłaNurmaini, Siti, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus, Radiyati Umi Partan i Nuswil Bernolian. "Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection". Sensors 21, nr 23 (30.11.2021): 8007. http://dx.doi.org/10.3390/s21238007.
Pełny tekst źródłaYe, Zi, Yogan Jaya Kumar, Fengyan Song, Guanxi Li i Suyu Zhang. "Bi-DCNet: Bilateral Network with Dilated Convolutions for Left Ventricle Segmentation". Life 13, nr 4 (18.04.2023): 1040. http://dx.doi.org/10.3390/life13041040.
Pełny tekst źródłaKim, Dong Ok, Minsu Chae i HwaMin Lee. "Revolutionizing Echocardiography: A Comparative Study of Advanced AI Models for Precise Left Ventricular Segmentation". International Journal on Advanced Science, Engineering and Information Technology 14, nr 3 (5.06.2024): 835–40. http://dx.doi.org/10.18517/ijaseit.14.3.18073.
Pełny tekst źródłaStoean, Catalin, Nebojsa Bacanin, Wiesław Paja, Ruxandra Stoean, Dominic Iliescu, Ciprian Patru i Rodica Nagy. "Semantic segmentation of fetal heart components in second trimester echocardiography". Procedia Computer Science 207 (2022): 3085–92. http://dx.doi.org/10.1016/j.procs.2022.09.366.
Pełny tekst źródłaMazaheri, Samaneh, Puteri Suhaiza Binti Sulaiman, Rahmita Wirza, Mohd Zamrin Dimon, Fatima Khalid i Rohollah Moosavi Tayebi. "Segmentation Methods of Echocardiography Images for Left Ventricle Boundary Detection". Journal of Computer Science 11, nr 9 (1.09.2015): 957–70. http://dx.doi.org/10.3844/jcssp.2015.957.970.
Pełny tekst źródłaSigit, Riyanto, Calvin Alfa Roji, Tri Harsono i Son Kuswadi. "Improved echocardiography segmentation using active shape model and optical flow". TELKOMNIKA (Telecommunication Computing Electronics and Control) 17, nr 2 (1.04.2019): 809. http://dx.doi.org/10.12928/telkomnika.v17i2.11821.
Pełny tekst źródłaDanilov, V. V., I. P. Skirnevskiy i O. M. Gerget. "Segmentation of anatomical structures of the heart based on echocardiography". Journal of Physics: Conference Series 803 (styczeń 2017): 012031. http://dx.doi.org/10.1088/1742-6596/803/1/012031.
Pełny tekst źródłaCorinzia, Luca, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano i Joachim M. Buhmann. "Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography". Artificial Intelligence in Medicine 110 (listopad 2020): 101975. http://dx.doi.org/10.1016/j.artmed.2020.101975.
Pełny tekst źródłaCelestin, B. E., S. P. Bagherzadeh, E. Santana, M. Frost, I. Mathias, A. J. Sweatt, R. Zamanian i in. "Echocardiography in Pulmonary Arterial Hypertension Using Deep Learning Segmentation Algorithms". Journal of Heart and Lung Transplantation 43, nr 4 (kwiecień 2024): S410. http://dx.doi.org/10.1016/j.healun.2024.02.1312.
Pełny tekst źródłaBalasubramani, Madankumar, Chih-Wei Sung, Mu-Yang Hsieh, Edward Pei-Chuan Huang, Jiann-Shing Shieh i Maysam F. Abbod. "Automated Left Ventricle Segmentation in Echocardiography Using YOLO: A Deep Learning Approach for Enhanced Cardiac Function Assessment". Electronics 13, nr 13 (1.07.2024): 2587. http://dx.doi.org/10.3390/electronics13132587.
Pełny tekst źródłaWu, Huisi, Jingyin Lin, Wende Xie i Jing Qin. "Super-efficient Echocardiography Video Segmentation via Proxy- and Kernel-Based Semi-supervised Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 3 (26.06.2023): 2803–11. http://dx.doi.org/10.1609/aaai.v37i3.25381.
Pełny tekst źródłaZhuang, Zhemin, Pengcheng Jin, Alex Noel Joseph Raj, Ye Yuan i Shuxin Zhuang. "Automatic Segmentation of Left Ventricle in Echocardiography Based on YOLOv3 Model to Achieve Constraint and Positioning". Computational and Mathematical Methods in Medicine 2021 (16.05.2021): 1–11. http://dx.doi.org/10.1155/2021/3772129.
Pełny tekst źródłaShiri, M., H. Behnam, H. Yeganegi, Z. A. Sani i N. Nematollahi. "TRACKABLE-SPECKLE DETECTION USING A DUAL-PATH CONVOLUTIONAL NEURAL NETWORK FOR NODES SELECTION IN SPECKLE TRACKING ECHOCARDIOGRAPHY". Asian Journal Of Medical Technology 2, nr 2 (5.08.2022): 33–54. http://dx.doi.org/10.32896/ajmedtech.v2n2.33-54.
Pełny tekst źródłaHan, Guowei, Tianliang Jin, Li Zhang, Chen Guo, Hua Gui, Risu Na, Xuesong Wang i Haihua Bai. "Adoption of Compound Echocardiography under Artificial Intelligence Algorithm in Fetal Congenial Heart Disease Screening during Gestation". Applied Bionics and Biomechanics 2022 (1.06.2022): 1–8. http://dx.doi.org/10.1155/2022/6410103.
Pełny tekst źródłaAzizi, Fityan, Mgs M. Luthfi Ramadhan i Wisnu Jatmiko. "Encoder-Decoder with Atrous Spatial Pyramid Pooling for Left Ventricle Segmentation in Echocardiography". Jurnal Ilmu Komputer dan Informasi 16, nr 2 (3.07.2023): 163–69. http://dx.doi.org/10.21609/jiki.v16i2.1165.
Pełny tekst źródłaAmer, Alyaa, Xujiong Ye i Faraz Janan. "ResDUnet: A Deep Learning-Based Left Ventricle Segmentation Method for Echocardiography". IEEE Access 9 (2021): 159755–63. http://dx.doi.org/10.1109/access.2021.3122256.
Pełny tekst źródłaAndreassen, Borge Solli, Federico Veronesi, Olivier Gerard, Anne H. Schistad Solberg i Eigil Samset. "Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography". IEEE Journal of Biomedical and Health Informatics 24, nr 4 (kwiecień 2020): 994–1003. http://dx.doi.org/10.1109/jbhi.2019.2959430.
Pełny tekst źródłaHu, Yujin, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei i Tianfu Wang. "AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation". IEEE Access 8 (2020): 29176–87. http://dx.doi.org/10.1109/access.2020.2971383.
Pełny tekst źródłaBernard, Olivier, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky i in. "Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography". IEEE Transactions on Medical Imaging 35, nr 4 (kwiecień 2016): 967–77. http://dx.doi.org/10.1109/tmi.2015.2503890.
Pełny tekst źródłaPearlman, P. C., H. D. Tagare, B. A. Lin, A. J. Sinusas i J. S. Duncan. "Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor". Medical Image Analysis 16, nr 2 (luty 2012): 351–60. http://dx.doi.org/10.1016/j.media.2011.09.002.
Pełny tekst źródłaDong, Suyu, Gongning Luo, Clara Tam, Wei Wang, Kuanquan Wang, Shaodong Cao, Bo Chen, Henggui Zhang i Shuo Li. "Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography". Medical Image Analysis 61 (kwiecień 2020): 101638. http://dx.doi.org/10.1016/j.media.2020.101638.
Pełny tekst źródłaBersvendsen, Jørn, Fredrik Orderud, Øyvind Lie, Richard John Massey, Kristian Fosså, Raúl San José Estépar, Stig Urheim i Eigil Samset. "Semiautomated biventricular segmentation in three-dimensional echocardiography by coupled deformable surfaces". Journal of Medical Imaging 4, nr 2 (24.05.2017): 024005. http://dx.doi.org/10.1117/1.jmi.4.2.024005.
Pełny tekst źródłaShekhar, R., V. Zagrodsky i V. Walimbe. "3D Stress echocardiography: development of novel visualization, registration and segmentation algorithms". International Congress Series 1268 (czerwiec 2004): 1072–77. http://dx.doi.org/10.1016/j.ics.2004.03.107.
Pełny tekst źródłaBatool, Samana, Imtiaz Ahmad Taj i Mubeen Ghafoor. "Ejection Fraction Estimation from Echocardiograms Using Optimal Left Ventricle Feature Extraction Based on Clinical Methods". Diagnostics 13, nr 13 (24.06.2023): 2155. http://dx.doi.org/10.3390/diagnostics13132155.
Pełny tekst źródłaHuang, Mu-Shiang, Chi-Shiang Wang, Jung-Hsien Chiang, Ping-Yen Liu i Wei-Chuan Tsai. "Automated Recognition of Regional Wall Motion Abnormalities Through Deep Neural Network Interpretation of Transthoracic Echocardiography". Circulation 142, nr 16 (20.10.2020): 1510–20. http://dx.doi.org/10.1161/circulationaha.120.047530.
Pełny tekst źródłaMaman, S. Ghanbari, A. Shalbaf, H. Behnam, Z. Alizadeh Sani i M. Shojaei Fard. "FULLY AUTOMATIC SEGMENTATION OF LEFT VENTRICLE IN A SEQUENCE OF ECHOCARDIOGRAPHY IMAGES OF ONE CARDIAC CYCLE BY DYNAMIC DIRECTIONAL VECTOR FIELD CONVOLUTION (DDVFC) METHOD AND MANIFOLD LEARNING". Biomedical Engineering: Applications, Basis and Communications 25, nr 02 (kwiecień 2013): 1350022. http://dx.doi.org/10.4015/s1016237213500221.
Pełny tekst źródłaKang, Seungyoung, Sun Ju Kim, Hong Gi Ahn, Kyoung-Chul Cha i Sejung Yang. "Left ventricle segmentation in transesophageal echocardiography images using a deep neural network". PLOS ONE 18, nr 1 (20.01.2023): e0280485. http://dx.doi.org/10.1371/journal.pone.0280485.
Pełny tekst źródłaGinty, Olivia K., John M. Moore, Yuanwei Xu, Wenyao Xia, Satoru Fujii, Daniel Bainbridge, Terry M. Peters, Bob B. Kiaii i Michael W. A. Chu. "Dynamic Patient-Specific Three-Dimensional Simulation of Mitral Repair". Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery 13, nr 1 (styczeń 2018): 11–22. http://dx.doi.org/10.1097/imi.0000000000000463.
Pełny tekst źródłaWahlang, Imayanmosha, Sk Mahmudul Hassan, Arnab Kumar Maji, Goutam Saha, Michal Jasinski, Zbigniew Leonowicz i Elzbieta Jasinska. "Classification of Valvular Regurgitation Using Echocardiography". Applied Sciences 12, nr 20 (17.10.2022): 10461. http://dx.doi.org/10.3390/app122010461.
Pełny tekst źródłaCui, Xiaoxiao, Pengfei Zhang, Yujun Li, Zhi Liu, Xiaoyan Xiao, Yang Zhang, Longkun Sun, Lizhen Cui, Guang Yang i Shuo Li. "MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69, nr 4 (kwiecień 2022): 1277–87. http://dx.doi.org/10.1109/tuffc.2022.3151647.
Pełny tekst źródłaLeclerc, Sarah, Erik Smistad, Joao Pedrosa, Andreas Ostvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland i in. "Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography". IEEE Transactions on Medical Imaging 38, nr 9 (wrzesień 2019): 2198–210. http://dx.doi.org/10.1109/tmi.2019.2900516.
Pełny tekst źródłaWu, H. S., D. Wang, L. Shi i C. M. Yu. "Automatic segmentation of left ventricle in 3D echocardiography using a level set approach". International Journal of Cardiology 164, nr 2 (kwiecień 2013): S12—S13. http://dx.doi.org/10.1016/s0167-5273(13)70558-8.
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