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Computational Radiomics System to Decode the Radiographic Phenotype

by van Griethuysen, Joost J.M., Fedorov, Andriy, Parmar, Chintan, Hosny, Ahmed, Aucoin, Nicole, Narayan, Vivek, Beets-Tan, Regina G.H., Fillion-Robin, Jean-Christophe, Pieper, Steve, Aerts, Hugo J.W.L.
Published in Cancer research (Chicago, Ill.) (01.11.2017)

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Hands-On Ensemble Learning with R: A Beginner's Guide to Combining the Power of Machine Learning Algorithms Using Ensemble Techniques

by Tattar, Prabhanjan Narayanachar
Year of Publication 2018

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MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification

by Huang, Hai-Hui, Shu, Jun, Liang, Yong
Published in IEEE journal of biomedical and health informatics (01.04.2024)

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Machine Learning Interface for Medical Image Analysis

by Zhang, Yi C., Kagen, Alexander C.
Published in Journal of digital imaging (01.10.2017)

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H22 Artificial intelligence: whose brains were behind it?

by Long, Amy
Published in British journal of dermatology (1951) (01.07.2024)

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End-to-end learning with interpretation on electrohysterography data to predict preterm birth

by Fischer, A.M., Rietveld, A.L., Teunissen, P.W., Bakker, P.C.A.M., Hoogendoorn, M.
Published in Computers in biology and medicine (01.05.2023)

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Detecting the Undetected: Machine Learning in Early Disease Diagnosis

by Rathi, Kanika, Sharma, Sakshi, Barnwal, Anil
Published in Basic & clinical pharmacology & toxicology (01.10.2025)

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Using AI enhanced agent-based models to support management of wild populations

by Willoughby, Janna R., Lamka, Gina F., Dunning, Kelly H., Narine, Lana, Belsare, Aniruddha, Sundaram, Mekala
Published in Landscape ecology (01.07.2025)

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Coracle—a machine learning framework to identify bacteria associated with continuous variables

by Staab, Sebastian, Cardénas, Anny, Peixoto, Raquel S, Schreiber, Falk, Voolstra, Christian R
Published in Bioinformatics (Oxford, England) (02.01.2024)

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Potential for artificial intelligence in medicine and its application to male infertility

by Kobayashi, Hideyuki
Published in Reproductive medicine and biology (01.01.2024)

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A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models

by Fouladvand, Sajjad, Talbert, Jeffery, Dwoskin, Linda P., Bush, Heather, Meadows, Amy L., Peterson, Lars E., Mishra, Yash R., Roggenkamp, Steven K., Wang, Fei, Kavuluru, Ramakanth, Chen, Jin
Published in IEEE journal of biomedical and health informatics (01.07.2023)

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Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database

by Tsunoda, Ryoya, Kume, Keitaro, Kagawa, Rina, Sanuki, Masaru, Kitagawa, Hiroyuki, Mase, Kaori, Yamagata, Kunihiro
Published in PloS one (05.12.2024)

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Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs

by Voets, Mike, Møllersen, Kajsa, Bongo, Lars Ailo
Published in PloS one (06.06.2019)

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Evaluating a Natural Language Processing–Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study

by Dai, Hong-Jie, Wang, Chen-Kai, Chen, Chien-Chang, Liou, Chong-Sin, Lu, An-Tai, Lai, Chia-Hsin, Shain, Bo-Tsz, Ke, Cheng-Rong, Wang, William Yu Chung, Mir, Tatheer Hussain, Simanjuntak, Mutiara, Kao, Hao-Yun, Tsai, Ming-Ju, Tseng, Vincent S
Published in Journal of medical Internet research (20.09.2024)

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Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

by Jin, Weiwei, Chowienczyk, Philip, Alastruey, Jordi
Published in PloS one (28.06.2021)

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Artificial intelligence to differentiate asthma from COPD in medico-administrative databases

by Joumaa, Hassan, Sigogne, Raphaël, Maravic, Milka, Perray, Lucas, Bourdin, Arnaud, Roche, Nicolas
Published in BMC pulmonary medicine (20.09.2022)

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Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review

by Moassefi, Mana, Rouzrokh, Pouria, Conte, Gian Marco, Vahdati, Sanaz, Fu, Tianyuan, Tahmasebi, Aylin, Younis, Mira, Farahani, Keyvan, Gentili, Amilcare, Kline, Timothy, Kitamura, Felipe C., Huo, Yuankai, Kuanar, Shiba, Younis, Khaled, Erickson, Bradley J., Faghani, Shahriar
Published in Journal of digital imaging (01.10.2023)

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FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification

by Tang, Peng, Yan, Xintong, Nan, Yang, Xiang, Shao, Krammer, Sebastian, Lasser, Tobias
Published in Medical image analysis (01.02.2022)

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Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort

by Kalia, Sumeet, Saarela, Olli, Chen, Tao, O'Neill, Braden, Meaney, Christopher, Gronsbell, Jessica, Sejdic, Ervin, Escobar, Michael, Aliarzadeh, Babak, Moineddin, Rahim, Pow, Conrad, Sullivan, Frank, Greiver, Michelle
Published in IEEE journal of biomedical and health informatics (01.08.2022)

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A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images

by Wang, Xiyue, Zhang, Jun, Yang, Sen, Xiang, Jingxi, Luo, Feng, Wang, Minghui, Zhang, Jing, Yang, Wei, Huang, Junzhou, Han, Xiao
Published in Medical image analysis (01.02.2023)

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