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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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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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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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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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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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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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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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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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Automated CT segmentation for lower extremity tissues in lymphedema evaluation using deep learning

by Na, Seongwon, Choi, Se Jin, Ko, Yousun, Urooj, Bushra, Huh, Jimi, Cha, Seungwoo, Jung, Chul, Cheon, Hwayeong, Jeon, Jae Yong, Kim, Kyung Won
Published in European radiology (01.11.2025)

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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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Validation of automated artificial intelligence segmentation of optical coherence tomography images

by 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)

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Efficient optimization based thresholding technique for analysis of alzheimer MRIs

by Prabha, S., Sakthidasan @ Sankaran, K., Chitradevi, D.
Published in International journal of neuroscience (01.02.2023)

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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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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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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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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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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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Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors

by Sun, Lifang, Hu, Xi, Liu, Yutao, Cai, Hengyu
Published in Contrast media and molecular imaging (2021)

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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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