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Deep Learning–Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time

by Ayobi, Angela, Davis, Adam, Chang, Peter D., Chow, Daniel S., Nael, Kambiz, Tassy, Maxime, Quenet, Sarah, Fogola, Sylvain, Shabe, Peter, Fussell, David, Avare, Christophe, Chaibi, Yasmina
Published in American journal of neuroradiology : AJNR (04.03.2025)

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External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review

by Yu, Alice C., Mohajer, Bahram, Eng, John
Published in Radiology. Artificial intelligence (01.05.2022)

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Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification

by Celik, Muhammed, Inik, Ozkan
Published in Expert systems with applications (15.03.2024)

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A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

by Tabares-Soto, Reinel, Orozco-Arias, Simon, Romero-Cano, Victor, Segovia Bucheli, Vanesa, Rodríguez-Sotelo, José Luis, Jiménez-Varón, Cristian Felipe
Published in PeerJ. Computer science (13.04.2020)

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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

by Islam, Md Mohaimenul, Yang, Hsuan-Chia, Poly, Tahmina Nasrin, Jian, Wen-Shan, (Jack) Li, Yu-Chuan
Published in Computer methods and programs in biomedicine (01.07.2020)

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Deep ensemble learning of sparse regression models for brain disease diagnosis

by Suk, Heung-Il, Lee, Seong-Whan, Shen, Dinggang
Published in Medical image analysis (01.04.2017)

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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

by Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Published in PloS one (24.11.2020)

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Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease

by Choi, Seong Huan, Lee, Hyun-Gye, Park, Sang-Don, Bae, Jang-Whan, Lee, Woojoo, Kim, Mi-Sook, Kim, Tae-Hun, Lee, Won Kyung
Published in BMC cardiovascular disorders (07.06.2023)

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Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis

by Ye, Zichen, Zhang, Daqian, Zhao, Yuankai, Chen, Mingyang, Wang, Huike, Seery, Samuel, Qu, Yimin, Xue, Peng, Jiang, Yu
Published in Artificial intelligence in medicine (01.09.2024)

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Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

by Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
Published in Biomedical engineering online (01.11.2023)

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Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification

by Tandel, Gopal S., Tiwari, Ashish, Kakde, O.G.
Published in Computers in biology and medicine (01.08.2021)

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Genetic algorithm-based hybrid deep learning model for explainable Alzheimer’s disease prediction using temporal multimodal cognitive data

by Saleh, Hager, ElRashidy, Nora, Abd Elaziz, Mohamed, O. Aseeri, Ahmad, El-Sappagh, Shaker
Published in International journal of data science and analytics (01.08.2025)

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Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms

by Farahani, Mojtaba A., McCormick, M.R., Harik, Ramy, Wuest, Thorsten
Published in Robotics and computer-integrated manufacturing (01.02.2025)

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Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey

by Zhang, Weiting, Yang, Dong, Wang, Hongchao
Published in IEEE systems journal (01.09.2019)

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Optimal Machine Learning- and Deep Learning-driven algorithms for predicting the future value of investments: A systematic review and meta-analysis

by Parisi, Luca, Manaog, Marianne Lyne
Published in Engineering applications of artificial intelligence (15.02.2025)

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Machine Learning Algorithms for Depression: Diagnosis, Insights, and Research Directions

by Aleem, Shumaila, Huda, Noor ul, Amin, Rashid, Khalid, Samina, Alshamrani, Sultan S., Alshehri, Abdullah
Published in Electronics (Basel) (01.04.2022)

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Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging

by Kim, Dong Wook, Jang, Hye Young, Ko, Yousun, Son, Jung Hee, Kim, Pyeong Hwa, Kim, Seon-Ok, Lim, Joon Seo, Park, Seong Ho
Published in PLOS ONE (11.09.2020)

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Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms

by Diller, Gerhard-Paul, Lammers, Astrid E., Babu-Narayan, Sonya, Li, Wei, Radke, Robert M., Baumgartner, Helmut, Gatzoulis, Michael A., Orwat, Stefan
Published in The International Journal of Cardiovascular Imaging (01.12.2019)

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Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

by Kwon, Joon‐Myoung, Lee, Soo Youn, Jeon, Ki‐Hyun, Lee, Yeha, Kim, Kyung‐Hee, Park, Jinsik, Oh, Byung‐Hee, Lee, Myong‐Mook
Published in Journal of the American Heart Association (09.04.2020)

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Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms

by Alsaade, Fawaz Waselallah, Alzahrani, Mohammed Saeed
Published in Computational intelligence and neuroscience (28.02.2022)

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