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Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer
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)
Published in PloS one (09.01.2020)
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Journal Article
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
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)
Published in PloS one (04.11.2021)
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Journal Article
An optimized b ‐value sampling for the quantification of interstitial fluid using diffusion‐weighted MRI , a genetic algorithm approach
Drenthen, Gerhard S., Jansen, Jacobus F. A., van der Thiel, Merel M., Voorter, Paulien H. M., Backes, Walter H.
Published in Magnetic resonance in medicine (01.07.2023)
Published in Magnetic resonance in medicine (01.07.2023)
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Journal Article
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
He, Tong, Kong, Ru, Holmes, Avram J., Nguyen, Minh, Sabuncu, Mert R., Eickhoff, Simon B., Bzdok, Danilo, Feng, Jiashi, Yeo, B.T. Thomas
Published in NeuroImage (Orlando, Fla.) (01.02.2020)
Published in NeuroImage (Orlando, Fla.) (01.02.2020)
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Journal Article
Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
Chen, Yasheng, Dhar, Rajat, Heitsch, Laura, Ford, Andria, Fernandez-Cadenas, Israel, Carrera, Caty, Montaner, Joan, Lin, Weili, Shen, Dinggang, An, Hongyu, Lee, Jin-Moo
Published in NeuroImage clinical (01.01.2016)
Published in NeuroImage clinical (01.01.2016)
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Journal Article
Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study
Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Published in PloS one (14.02.2022)
Published in PloS one (14.02.2022)
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Journal Article
Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease
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)
Published in CNS neuroscience & therapeutics (01.12.2022)
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Journal Article
Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve: Result From the MACHINE Consortium
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)
Published in Circulation. Cardiovascular imaging (01.06.2018)
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Journal Article
Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia
Published in Neurology
(19.10.2021)
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Journal Article
Validation of automated artificial intelligence segmentation of optical coherence tomography images
Maloca, Peter M., Lee, Aaron Y., de Carvalho, Emanuel R., Okada, Mali, Fasler, Katrin, Leung, Irene, Hörmann, Beat, Kaiser, Pascal, Suter, Susanne, Hasler, Pascal W., Zarranz-Ventura, Javier, Egan, Catherine, Heeren, Tjebo F. C., Balaskas, Konstantinos, Tufail, Adnan, Scholl, Hendrik P. N.
Published in PloS one (16.08.2019)
Published in PloS one (16.08.2019)
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Journal Article
An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetes
Martinez-Vernon, Andrea S., Covington, James A., Arasaradnam, Ramesh P., Esfahani, Siavash, O’Connell, Nicola, Kyrou, Ioannis, Savage, Richard S.
Published in PloS one (27.09.2018)
Published in PloS one (27.09.2018)
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Journal Article
An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology
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)
Published in Medical & biological engineering & computing (01.02.2022)
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Journal Article
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) database
Beltrán, Juan Felipe, Wahba, Brandon Malik, Hose, Nicole, Shasha, Dennis, Kline, Richard P.
Published in PloS one (27.07.2020)
Published in PloS one (27.07.2020)
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Journal Article
Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms
Grimm, Florian, Edl, Florian, Kerscher, Susanne R., Nieselt, Kay, Gugel, Isabel, Schuhmann, Martin U.
Published in Acta neurochirurgica (01.10.2020)
Published in Acta neurochirurgica (01.10.2020)
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Journal Article
Ovarian torsion: developing a machine-learned algorithm for diagnosis
Otjen, Jeffrey P., Stanescu, A. Luana, Alessio, Adam M., Parisi, Marguerite T.
Published in Pediatric radiology (01.05.2020)
Published in Pediatric radiology (01.05.2020)
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Journal Article
Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning
van Huizen, Laura M. G., Blokker, Max, Rip, Yael, Veta, Mitko, Mooij Kalverda, Kirsten A., Bonta, Peter I., Duitman, Jan Willem, Groot, Marie Louise
Published in PloS one (27.06.2023)
Published in PloS one (27.06.2023)
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Journal Article
Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review
Romano, Andrea, Rižner, Tea Lanišnik, Werner, Henrica Maria Johanna, Semczuk, Andrzej, Lowy, Camille, Schröder, Christoph, Griesbeck, Anne, Adamski, Jerzy, Fishman, Dmytro, Tokarz, Janina
Published in Frontiers in oncology (06.04.2023)
Published in Frontiers in oncology (06.04.2023)
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Journal Article