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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

by Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N., Adamson, Paul C., Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A., Saab, Faysal G., Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L., Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Published in PloS one (22.09.2020)

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Multi-Image-Feature-Based Hierarchical Concrete Crack Identification Framework Using Optimized SVM Multi-Classifiers and D–S Fusion Algorithm for Bridge Structures

by Yu, Yang, Rashidi, Maria, Samali, Bijan, Yousefi, Amir M., Wang, Weiqiang
Published in Remote sensing (Basel, Switzerland) (01.01.2021)

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Health diagnostics using multi-attribute classification fusion

by Wang, Pingfeng, Tamilselvan, Prasanna, Hu, Chao
Published in Engineering applications of artificial intelligence (01.06.2014)

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Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

by Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Published in PloS one (28.02.2019)

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Investigating the impact of data heterogeneity on the performance of federated learning algorithm using medical imaging

by Babar, Muhammad, Qureshi, Basit, Koubaa, Anis
Published in PloS one (15.05.2024)

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Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

by Martinez-Murcia, Francisco J., Ortiz, Andres, Gorriz, Juan-Manuel, Ramirez, Javier, Castillo-Barnes, Diego
Published in IEEE journal of biomedical and health informatics (01.01.2020)

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A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity

by Hassanzadeh, Reihaneh, Abrol, Anees, Pearlson, Godfrey, Turner, Jessica A., Calhoun, Vince D.
Published in PloS one (20.05.2024)

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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks

by Bamorovat, Mehdi, Sharifi, Iraj, Rashedi, Esmat, Shafiian, Alireza, Sharifi, Fatemeh, Khosravi, Ahmad, Tahmouresi, Amirhossein
Published in PloS one (05.05.2021)

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Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review

by Radiya, Keyur, Joakimsen, Henrik Lykke, Mikalsen, Karl Øyvind, Aahlin, Eirik Kjus, Lindsetmo, Rolv-Ole, Mortensen, Kim Erlend
Published in European radiology (01.10.2023)

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Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion

by Simos, Nicholas J., Manolitsi, Katina, Luppi, Andrea I., Kagialis, Antonios, Antonakakis, Marios, Zervakis, Michalis, Antypa, Despina, Kavroulakis, Eleftherios, Maris, Thomas G., Vakis, Antonios, Stamatakis, Emmanuel A., Papadaki, Efrosini
Published in Neuroinformatics (Totowa, N.J.) (01.04.2023)

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Multiparametric MRI for the improved diagnostic accuracy of Alzheimer’s disease and mild cognitive impairment: Research protocol of a case-control study design

by Piersson, Albert Dayor, Ibrahim, Buhari, Suppiah, Subapriya, Mohamad, Mazlyfarina, Hassan, Hasyma Abu, Omar, Nur Farhayu, Ibrahim, Mohd Izuan, Yusoff, Ahmad Nazlim, Ibrahim, Normala, Saripan, M. Iqbal, Razali, Rizah Mazzuin
Published in PloS one (21.09.2021)

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Deep Learning Algorithms for Bearing Fault Diagnostics-A Comprehensive Review

by Zhang, Shen, Zhang, Shibo, Wang, Bingnan, Habetler, Thomas G.
Published in IEEE access (2020)

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An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

by Wang, Dingding, Mo, Jiaqing, Zhou, Gang, Xu, Liang, Liu, Yajun
Published in PloS one (17.11.2020)

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Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

by Martínez-Más, José, Bueno-Crespo, Andrés, Khazendar, Shan, Remezal-Solano, Manuel, Martínez-Cendán, Juan-Pedro, Jassim, Sabah, Du, Hongbo, Al Assam, Hisham, Bourne, Tom, Timmerman, Dirk
Published in PloS one (26.07.2019)

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Diagnostic accuracy of adenosine deaminase for pleural tuberculosis in a low prevalence setting: A machine learning approach within a 7-year prospective multi-center study

by Garcia-Zamalloa, Alberto, Vicente, Diego, Arnay, Rafael, Arrospide, Arantzazu, Taboada, Jorge, Castilla-Rodríguez, Iván, Aguirre, Urko, Múgica, Nekane, Aldama, Ladislao, Aguinagalde, Borja, Jimenez, Montserrat, Bikuña, Edurne, Basauri, Miren Begoña, Alonso, Marta, Perez-Trallero, Emilio
Published in PloS one (04.11.2021)

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Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case–control study

by Choi, Soo Yun, Park, Sunggyun, Kim, Minchul, Park, Jongchan, Choi, Ye Ra, Jin, Kwang Nam
Published in Medicine (Baltimore) (23.04.2021)

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Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

by Yoshida, Kosuke, Shimizu, Yu, Yoshimoto, Junichiro, Takamura, Masahiro, Okada, Go, Okamoto, Yasumasa, Yamawaki, Shigeto, Doya, Kenji
Published in PloS one (12.07.2017)

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COVID-19 detection using federated machine learning

by Abdul Salam, Mustafa, Taha, Sanaa, Ramadan, Mohamed
Published in PloS one (08.06.2021)

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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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AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost

by El Mertahi, Adil, Ezzine, Hind, Douzi, Samira, Douzi, Khadija
Published in PloS one (28.07.2025)

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