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Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
Alfaro-Almagro, Fidel, Jenkinson, Mark, Bangerter, Neal K., Andersson, Jesper L.R., Griffanti, Ludovica, Douaud, Gwenaëlle, Sotiropoulos, Stamatios N., Jbabdi, Saad, Hernandez-Fernandez, Moises, Vallee, Emmanuel, Vidaurre, Diego, Webster, Matthew, McCarthy, Paul, Rorden, Christopher, Daducci, Alessandro, Alexander, Daniel C., Zhang, Hui, Dragonu, Iulius, Matthews, Paul M., Miller, Karla L., Smith, Stephen M.
Published in NeuroImage (Orlando, Fla.) (01.02.2018)
Published in NeuroImage (Orlando, Fla.) (01.02.2018)
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Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging
Liu, Fang, Jang, Hyungseok, Kijowski, Richard, Bradshaw, Tyler, McMillan, Alan B
Published in Radiology (01.02.2018)
Published in Radiology (01.02.2018)
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Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
Yu, Gang, Sun, Kai, Xu, Chao, Shi, Xing-Hua, Wu, Chong, Xie, Ting, Meng, Run-Qi, Meng, Xiang-He, Wang, Kuan-Song, Xiao, Hong-Mei, Deng, Hong-Wen
Published in Nature communications (02.11.2021)
Published in Nature communications (02.11.2021)
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Early Detection of Depression: Social Network Analysis and Random Forest Techniques
Cacheda, Fidel, Fernandez, Diego, Novoa, Francisco J, Carneiro, Victor
Published in Journal of medical Internet research (10.06.2019)
Published in Journal of medical Internet research (10.06.2019)
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Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls
Stamatis, Caitlin A., Batistuzzo, Marcelo C., Tanamatis, Tais, Miguel, Euripedes C., Hoexter, Marcelo Q., Timpano, Kiara R.
Published in British journal of clinical psychology (01.03.2021)
Published in British journal of clinical psychology (01.03.2021)
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The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering
Carlson, David E, Chavarriaga, Ricardo, Liu, Yiling, Lotte, Fabien, Lu, Bao-Liang
Published in Journal of neural engineering (27.03.2025)
Published in Journal of neural engineering (27.03.2025)
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Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity
Shoeibi, Nasser, Abrishami, Majid, Hosseini, Seyedeh Maryam, Ansari-Astaneh, Mohammad-Reza, Farrahi, Razieh, Gharib, Bahareh, Neghabi, Fatemeh, Abrishami, Mojtaba, Sakhaee, Mehdi, Motamed Shariati, Mehrdad
Published in BMC medical informatics and decision making (01.07.2025)
Published in BMC medical informatics and decision making (01.07.2025)
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MSLTE: multiple self-supervised learning tasks for enhancing EEG emotion recognition
Li, Guangqiang, Chen, Ning, Niu, Yixiang, Xu, Zhangyong, Dong, Yuxuan, Jin, Jing, Zhu, Hongqin
Published in Journal of neural engineering (01.04.2024)
Published in Journal of neural engineering (01.04.2024)
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Artificial Intelligence-enabled, Real-time Intraoperative Ultrasound Imaging of Neural Structures Within the Psoas: Validation in a Porcine Spine Model
Carson, Tyler, Ghoshal, Goutam, Cornwall, George Bryan, Tobias, Richard, Schwartz, David G, Foley, Kevin T
Published in Spine (Philadelphia, Pa. 1976) (01.02.2021)
Published in Spine (Philadelphia, Pa. 1976) (01.02.2021)
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Cerebral blood flow measurements with 15 O-water PET using a non-invasive machine-learning-derived arterial input function
Kuttner, Samuel, Wickstrøm, Kristoffer Knutsen, Lubberink, Mark, Tolf, Andreas, Burman, Joachim, Sundset, Rune, Jenssen, Robert, Appel, Lieuwe, Axelsson, Jan
Published in Journal of cerebral blood flow and metabolism (01.09.2021)
Published in Journal of cerebral blood flow and metabolism (01.09.2021)
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Development, Implementation, and Evaluation of a Personalized Machine Learning Algorithm for Clinical Decision Support: Case Study With Shingles Vaccination
Chen, Ji, Chokshi, Sara, Hegde, Roshini, Gonzalez, Javier, Iturrate, Eduardo, Aphinyanaphongs, Yin, Mann, Devin
Published in Journal of medical Internet research (29.04.2020)
Published in Journal of medical Internet research (29.04.2020)
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Ensuring machine learning for healthcare works for all
McCoy, Liam G, Banja, John D, Ghassemi, Marzyeh, Celi, Leo Anthony
Published in BMJ health & care informatics (24.11.2020)
Published in BMJ health & care informatics (24.11.2020)
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