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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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Numerical modeling of particle deposition in a realistic respiratory airway using CFD–DPM and genetic algorithm

by Khaksar, Saba, Paknezhad, Mehrad, Saidi, Maysam, Ahookhosh, Kaveh
Published in Biomechanics and modeling in mechanobiology (01.10.2024)

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Computational methods used to investigate atherosclerosis progression in coronary arteries: structural FEA, CFD or FSI

by Lissoni, Vittorio, Luraghi, Giulia, Stefanati, Marco, Rodriguez Matas, Jose Felix, Migliavacca, Francesco
Published in Computer methods and programs in biomedicine (01.10.2025)

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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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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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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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Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

by Feuerriegel, Georg C., Weiss, Kilian, Kronthaler, Sophia, Leonhardt, Yannik, Neumann, Jan, Wurm, Markus, Lenhart, Nicolas S., Makowski, Marcus R., Schwaiger, Benedikt J., Woertler, Klaus, Karampinos, Dimitrios C., Gersing, Alexandra S.
Published in European radiology (01.07.2023)

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Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms

by Rajhi, Wajdi, Ahmed, Zakarya, Ali, Ali B. M., Alizadeh, As’ad, Hussein, Zahraa Abed, Sawaran Singh, Narinderjit Singh, Louhichi, Borhen, Aich, Walid
Published in Scientific reports (02.09.2025)

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Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models

by Nannini, Guido, Suk, Julian, Rygiel, Patryk, Saitta, Simone, Mariani, Luca, Maranga, Riccardo, Baggiano, Andrea, Pontone, Gianluca, Wolterink, Jelmer M., Redaelli, Alberto
Published in Computers in biology and medicine (01.09.2025)

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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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Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine

by Yevtushenko, Pavlo, Goubergrits, Leonid, Franke, Benedikt, Kuehne, Titus, Schafstedde, Marie
Published in Frontiers in cardiovascular medicine (03.03.2023)

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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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Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation

by Xia, Tai-Hui, Tan, Man, Li, Jing-Hua, Wang, Jing-Jing, Wu, Qing-Qing, Kong, De-Xing
Published in Chinese medical journal (01.07.2021)

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Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study

by Chen, Guozhong, Lu, Mengjie, Shi, Zhao, Xia, Shuang, Ren, Yuan, Liu, Zhen, Liu, Xiuxian, Li, Zhiyong, Mao, Li, Li, Xiu Li, Zhang, Bo, Zhang, Long Jiang, Lu, Guang Ming
Published in European radiology (01.09.2020)

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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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Generating synthetic CT images from unpaired head and neck CBCT images and validating the importance of detailed nasal cavity acquisition through simulations

by Ryu, Susie, Kim, Jun Hong, Choi, Yoon Jeong, Lee, Joon Sang
Published in Computers in biology and medicine (01.02.2025)

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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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Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review

by 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)

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Machine Learning-Assisted Raman Spectroscopy for pH and Lactate Sensing in Body Fluids

by Olaetxea, Ion, Valero, Ana, Lopez, Eneko, Lafuente, Héctor, Izeta, Ander, Jaunarena, Ibon, Seifert, Andreas
Published in Analytical chemistry (Washington) (20.10.2020)

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Computational Fluid Dynamics (CFD) Analysis of Subject-specific Bronchial Tree Models in Lung Cancer Patients

by Aliboni, L., Pennati, F., Sarti, M., Iorio, V., Carrinola, R., Palleschi, A., Aliverti, A.
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01.11.2021)

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