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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
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
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
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)
Published in European radiology (01.09.2020)
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Journal Article
Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors
Moodi, Farzan, Khodadadi Shoushtari, Fereshteh, Ghadimi, Delaram J., Valizadeh, Gelareh, Khormali, Ehsan, Salari, Hanieh Mobarak, Ohadi, Mohammad Amin Dabbagh, Nilipour, Yalda, Jahanbakhshi, Amin, Rad, Hamidreza Saligheh
Published in Journal of magnetic resonance imaging (01.09.2024)
Published in Journal of magnetic resonance imaging (01.09.2024)
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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
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis
Prados, Ferran, Cardoso, Manuel Jorge, Kanber, Baris, Ciccarelli, Olga, Kapoor, Raju, Gandini Wheeler-Kingshott, Claudia A.M., Ourselin, Sebastien
Published in NeuroImage (Orlando, Fla.) (01.10.2016)
Published in NeuroImage (Orlando, Fla.) (01.10.2016)
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Journal Article
Diffusion MRI in the cortex of the brain: Reducing partial volume effects from CSF and white matter in the mean diffusivity using high b‐values and spherical b‐tensor encoding
Säll, Cornelia, Spotorno, Nicola, Sundgren, Pia C., Westen, Danielle, Westin, Carl‐Fredrik, Szczepankiewicz, Filip, Nilsson, Markus
Published in Magnetic resonance in medicine (01.09.2025)
Published in Magnetic resonance in medicine (01.09.2025)
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Journal Article
Intelligent Microfluidics for Plasma Separation: Integrating Computational Fluid Dynamics and Machine Learning for Optimized Microchannel Design
Manekar, Kavita, Bhaiyya, Manish L., Hasamnis, Meghana A., Kulkarni, Madhusudan B.
Published in Biosensors (Basel) (01.02.2025)
Published in Biosensors (Basel) (01.02.2025)
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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 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
Automated CT segmentation for lower extremity tissues in lymphedema evaluation using deep learning
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)
Published in European radiology (01.11.2025)
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Journal Article
Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis
Narimani-Javid, Roozbeh, Moradi, Mehdi, Mahalleh, Mehrdad, Najafi-vosough, Roya, Arzhangzadeh, Alireza, Khalique, Omar, Mojibian, Hamid, Kuno, Toshiki, Mohsen, Amr, Alam, Mahboob, Shafiei, Sasan, Khansari, Nakisa, Shaghaghi, Zahra, Nozhat, Salma, Hosseini, Kaveh, Hosseini, Seyed Kianoosh
Published in Journal of cardiovascular computed tomography (01.03.2025)
Published in Journal of cardiovascular computed tomography (01.03.2025)
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Journal Article
Robust parametric modeling of Alzheimer’s disease progression
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay, Modat, Marc, Jorge Cardoso, M., Ourselin, Sébastien, Sørensen, Lauge
Published in NeuroImage (Orlando, Fla.) (15.01.2021)
Published in NeuroImage (Orlando, Fla.) (15.01.2021)
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Journal Article
An SPM8-Based Approach for Attenuation Correction Combining Segmentation and Nonrigid Template Formation: Application to Simultaneous PET/MR Brain Imaging
Izquierdo-Garcia, David, Hansen, Adam E., Förster, Stefan, Benoit, Didier, Schachoff, Sylvia, Fürst, Sebastian, Chen, Kevin T., Chonde, Daniel B., Catana, Ciprian
Published in Journal of Nuclear Medicine (01.11.2014)
Published in Journal of Nuclear Medicine (01.11.2014)
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Journal Article
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Kaur, Arshdeep, Mittal, Meenakshi, Bhatti, Jasvinder Singh, Thareja, Suresh, Singh, Satwinder
Published in Artificial intelligence in medicine (01.08.2024)
Published in Artificial intelligence in medicine (01.08.2024)
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Journal Article