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Publication search results
found 68 matches
- 2024
- T. Nagamani, S. Logeswari:
Hybrid classification of XGBoost-based ADAM optimization for coronary artery disease diagnosis. J. Intell. Fuzzy Syst. 46(4): 10035-10044 (2024) - Jianze Wei, Bocheng Pan, Yu Gan, Xuedi Li, Deping Liu, Botao Sang, Xingyu Gao:
Temporal Relationship-Aware Treadmill Exercise Test Analysis Network for Coronary Artery Disease Diagnosis. Sensors 24(9): 2705 (2024) - 2023
- J. Jasmine Gabriel, L. Jani Anbarasi:
Optimizing Coronary Artery Disease Diagnosis: A Heuristic Approach Using Robust Data Preprocessing and Automated Hyperparameter Tuning of eXtreme Gradient Boosting. IEEE Access 11: 112988-113007 (2023) - Cristina Pérez, Esther Pueyo, Juan Pablo Martínez, Jari Viik, Pablo Laguna:
QT interval time lag in response to heart rate changes during stress test for Coronary Artery Disease diagnosis. Biomed. Signal Process. Control. 86(Part A): 105056 (2023) - Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - Burak Kolukisa, Burcu Bakir-Gungor:
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis. Comput. Stand. Interfaces 84: 103706 (2023) - Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. EUSFLAT/AGOP 2023: 14-25 - Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad, Kwok Tsui, Roohallah Alizadehsani:
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. CoRR abs/2308.15339 (2023) - Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai:
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis. CoRR abs/2310.04749 (2023) - Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai:
Data Augmentation through Pseudolabels in Automatic Region Based Coronary Artery Segmentation for Disease Diagnosis. CoRR abs/2310.05990 (2023) - 2022
- Marziye Narangifard, Hooman Tahayori, Hamid Reza Ghaedsharaf, Mehrdad Tirandazian:
Early diagnosis of coronary artery disease by SVM, decision tree algorithms and ensemble methods. Int. J. Medical Eng. Informatics 14(4): 295-305 (2022) - Hichem Haouassi, Rafik Mahdaoui, Ouahiba Chouhal, Abdelaali Bekhouche:
An efficient classification rule generation for coronary artery disease diagnosis using a novel discrete equilibrium optimizer algorithm. J. Intell. Fuzzy Syst. 43(3): 2315-2331 (2022) - Sahar Shariatnia, Majid Ziaratban, Abdolhalim Rajabi, Aref Salehi, Kobra Abdi Zarrini, Mohammadali Vakili:
Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study. BMC Medical Informatics Decis. Mak. 22(1): 85 (2022) - Zhaoping Wang, Hongji Yin, Wei Jing, Hui Sun, Ming Ru, Suhua Zhang, Yingcui Wang:
Application of CT coronary flow reserve fraction based on deep learning in coronary artery diagnosis of coronary heart disease complicated with diabetes mellitus. Neural Comput. Appl. 34(9): 6763-6772 (2022) - Mona Algarni, Abdulkader Al-Rezqi, Faisal Saeed, Abdullah Alsaeedi, Fahad Ghabban:
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images. PeerJ Comput. Sci. 8: e993 (2022) - Ton Do Thanh, Chi Thanh Nguyen, Nhu Hai Phung, Van-Hau Nguyen, Trung Kien Tran, Thanh Trung Nguyen:
An XAI-Based Deep Learning Framework for Coronary Artery Disease Diagnosis using SPECT MPI polar map images. RICE 2022: 235-241 - 2021
- Durgadevi Velusamy, Karthikeyan Ramasamy:
Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset. Comput. Methods Programs Biomed. 198: 105770 (2021) - Mariam Zomorodi Moghadam, Moloud Abdar, Zohreh Davarzani, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya:
Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Syst. J. Knowl. Eng. 38(1) (2021) - Pooja Rani, Rajneesh Kumar, Anurag Jain:
Coronary artery disease diagnosis using extra tree-support vector machine: ET-SVMRBF. Int. J. Comput. Appl. Technol. 66(2): 209-218 (2021) - A. Swarnalatha, M. Manikandan:
Intra-Vascular Ultra Sound Image Classification System for the Diagnosis of Coronary Artery Disease Using Adaptive Wavelet Transform with Support Vector Machine. J. Medical Imaging Health Informatics 11(5): 1509-1516 (2021) - Yanjing Wang, Lin Liu, Xiaofei Fan, Zhenming Zhang, Huan Sun:
The Role of CT Images According to Iterative Image Reconstruction Algorithm in the Diagnosis of Coronary Artery Lesion in Patients with Coronary Heart Disease. J. Medical Imaging Health Informatics 11(4): 1242-1247 (2021) - Ida Arvidsson, Niels Christian Overgaard, Anette Davidsson, Jeronimo Frias Rose, Kalle Åström, Miguel Ochoa Figueroa, Anders Heyden:
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks. Medical Imaging: Computer-Aided Diagnosis 2021 - Ali Yavari, Amir Rajabzadeh, Fardin Abdali Mohammadi:
A Profile-Based Binary Feature Extraction Method Using Frequent Itemsets for Improving Coronary Artery Disease Diagnosis. CoRR abs/2109.10966 (2021) - 2020
- Selcan Kaplan Berkaya:
Spect miyokard perfüzyon görüntülemesinden koroner arter hastalığı tanısı için yeni sınıflandırma modelleri (New classification models for the diagnosis of coronary artery disease from spect myocardial perfusion imaging). Eskişehir Technical University, Turkey, 2020 - Lianke Yao, Changchun Liu, Peng Li, Jikuo Wang, Yuanyuan Liu, Wang Li, Xinpei Wang, Han Li, Huan Zhang:
Enhanced Automated Diagnosis of Coronary Artery Disease Using Features Extracted From QT Interval Time Series and ST-T Waveform. IEEE Access 8: 129510-129524 (2020) - Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari O. Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore:
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinform. 36(6): 1772-1778 (2020) - Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour:
Decision tree-based diagnosis of coronary artery disease: CART model. Comput. Methods Programs Biomed. 192: 105400 (2020) - Kaijian Xia, Shengrong Gong, Wen Si, Yuexin Li:
A Special Section on Computer-Aided Diagnosis of Coronary Artery Diseases. J. Medical Imaging Health Informatics 10(2): 444-445 (2020) - Sandip Saha, Pankaj Biswas, Sujit Nath:
Numerical Simulation of Blocked Blood Vessel for Early Diagnosis of Coronary Artery Disease. CoMSO 2020: 711-721 - Afzal Hussain Shahid, Maheshwari Prasad Singh, Bishwajit Roy, Aashish Aadarsh:
Coronary Artery Disease Diagnosis Using Feature Selection Based Hybrid Extreme Learning Machine. ICICT 2020: 341-346
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