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Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer

by Miao, Ruizhong, Badger, Taylor C., Groesch, Kathleen, Diaz-Sylvester, Paula L., Wilson, Teresa, Ghareeb, Allen, Martin, Jongjin Anne, Cregger, Melissa, Welge, Michael, Bushell, Colleen, Auvil, Loretta, Zhu, Ruoqing, Brard, Laurent, Braundmeier-Fleming, Andrea
Published in PloS one (09.01.2020)

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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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Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

by Jo, Taeho, Nho, Kwangsik, Saykin, Andrew J.
Published in Frontiers in aging neuroscience (20.08.2019)

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An interpretable machine learning model for diagnosis of Alzheimer's disease

by Das, Diptesh, Ito, Junichi, Kadowaki, Tadashi, Tsuda, Koji
Published in PeerJ (San Francisco, CA) (01.03.2019)

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Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms

by Ren, Zenghua, Hu, Yudan, Xu, Ling
Published in Respiratory research (16.10.2019)

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A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

by Spasov, Simeon, Passamonti, Luca, Duggento, Andrea, Liò, Pietro, Toschi, Nicola
Published in NeuroImage (Orlando, Fla.) (01.04.2019)

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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve: Result From the MACHINE Consortium

by Coenen, Adriaan, Kim, Young-Hak, Kruk, Mariusz, Tesche, Christian, De Geer, Jakob, Kurata, Akira, Lubbers, Marisa L., Daemen, Joost, Itu, Lucian, Rapaka, Saikiran, Sharma, Puneet, Schwemmer, Chris, Persson, Anders, Schoepf, U. Joseph, Kepka, Cezary, Hyun Yang, Dong, Nieman, Koen
Published in Circulation. Cardiovascular imaging (01.06.2018)

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An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology

by Waldmann, Moritz, Grosch, Alice, Witzler, Christian, Lehner, Matthias, Benda, Odo, Koch, Walter, Vogt, Klaus, Kohn, Christopher, Schröder, Wolfgang, Göbbert, Jens Henrik, Lintermann, Andreas
Published in Medical & biological engineering & computing (01.02.2022)

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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

by Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Published in PloS one (14.02.2022)

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Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease

by Wang, Xin, Jiao, Bin, Liu, Hui, Wang, Yaqin, Hao, Xiaoli, Zhu, Yuan, Xu, Bei, Xu, Huizhuo, Zhang, Sizhe, Jia, Xiaoliang, Xu, Qian, Liao, Xinxin, Zhou, Yafang, Jiang, Hong, Wang, Junling, Guo, Jifeng, Yan, Xinxiang, Tang, Beisha, Zhao, Rongchang, Shen, Lu
Published in CNS neuroscience & therapeutics (01.12.2022)

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Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms

by Grimm, Florian, Edl, Florian, Kerscher, Susanne R., Nieselt, Kay, Gugel, Isabel, Schuhmann, Martin U.
Published in Acta neurochirurgica (01.10.2020)

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A hybrid multimodal machine learning model for Detecting Alzheimer's disease

by Sheng, Jinhua, Zhang, Qian, Zhang, Qiao, Wang, Luyun, Yang, Ze, Xin, Yu, Wang, Binbing
Published in Computers in biology and medicine (01.03.2024)

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Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images

by Alsaih, Khaled, Lemaitre, Guillaume, Rastgoo, Mojdeh, Massich, Joan, Sidibé, Désiré, Meriaudeau, Fabrice
Published in Biomedical engineering online (07.06.2017)

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Design of a model-based diagnostic algorithm for diesel particulate filter fault detection and isolation

by Polverino, Pierpaolo, Elefante, Serena, Arsie, Ivan, Pianese, Cesare
Published in AIP conference proceedings (17.12.2019)

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Journal Article Conference Proceeding

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Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

Published in Journal of Alzheimer's disease (01.01.2020)

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Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning

by Vennemann, Bernhard, Obrist, Dominik, Rösgen, Thomas
Published in PloS one (26.09.2019)

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Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography

by Hernandez, Monica, Ramon-Julvez, Ubaldo, Vilades, Elisa, Cordon, Beatriz, Mayordomo, Elvira, Garcia-Martin, Elena
Published in PloS one (07.08.2023)

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Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) database

by Beltrán, Juan Felipe, Wahba, Brandon Malik, Hose, Nicole, Shasha, Dennis, Kline, Richard P.
Published in PloS one (27.07.2020)

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Prediction and classification of Alzheimer disease based on quantification of MRI deformation

by Long, Xiaojing, Chen, Lifang, Jiang, Chunxiang, Zhang, Lijuan
Published in PloS one (06.03.2017)

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Automatically measuring brain ventricular volume within PACS using artificial intelligence

by Yepes-Calderon, Fernando, Nelson, Marvin D., McComb, J. Gordon
Published in PloS one (15.03.2018)

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