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Unsupervised Learning Reveals Geography of Global Ocean Dynamical Regions
Sonnewald, Maike, Wunsch, Carl, Heimbach, Patrick
Published in Earth and space science (Hoboken, N.J.) (01.05.2019)
Published in Earth and space science (Hoboken, N.J.) (01.05.2019)
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The impact of machine learning techniques in the study of bipolar disorder: A systematic review
Librenza-Garcia, Diego, Kotzian, Bruno Jaskulski, Yang, Jessica, Mwangi, Benson, Cao, Bo, Pereira Lima, Luiza Nunes, Bermudez, Mariane Bagatin, Boeira, Manuela Vianna, Kapczinski, Flávio, Passos, Ives Cavalcante
Published in Neuroscience and biobehavioral reviews (01.09.2017)
Published in Neuroscience and biobehavioral reviews (01.09.2017)
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Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B–induced local skin hypersensitization in healthy subjects: a machine-learned analysis
Lötsch, Jörn, Geisslinger, Gerd, Heinemann, Sarah, Lerch, Florian, Oertel, Bruno G., Ultsch, Alfred
Published in Pain (Amsterdam) (01.01.2018)
Published in Pain (Amsterdam) (01.01.2018)
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Traffic Sign Recognition Evaluation for Senior Adults Using EEG Signals
Koh, Dong-Woo, Kwon, Jin-Kook, Lee, Sang-Goog
Published in Sensors (Basel, Switzerland) (05.07.2021)
Published in Sensors (Basel, Switzerland) (05.07.2021)
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Artificial Intelligence Can Define and Predict the "Optimal Observed Outcome" After Anterior Shoulder Instability Surgery: An Analysis of 200 Patients With 11-Year Mean Follow-Up
Till, Sara E., Lu, Yining, Reinholz, Anna K., Boos, Alexander M., Krych, Aaron J., Okoroha, Kelechi R., Camp, Christopher L.
Published in Arthroscopy, Sports Medicine, and Rehabilitation (01.08.2023)
Published in Arthroscopy, Sports Medicine, and Rehabilitation (01.08.2023)
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Automated extraction of the arterial input function from brain images for parametric PET studies
Moradi, Hamed, Vashistha, Rajat, Ghosh, Soumen, O’Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor, Reutens, David
Published in EJNMMI research (01.04.2024)
Published in EJNMMI research (01.04.2024)
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Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning
Wu, Mon-Ju, Mwangi, Benson, Bauer, Isabelle E., Passos, Ives C., Sanches, Marsal, Zunta-Soares, Giovana B., Meyer, Thomas D., Hasan, Khader M., Soares, Jair C.
Published in NeuroImage (Orlando, Fla.) (15.01.2017)
Published in NeuroImage (Orlando, Fla.) (15.01.2017)
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Experiences of Siblings of Children With Neurodevelopmental Disorders: Comparing Qualitative Analysis and Machine Learning to Study Narratives
Bastiaansen, Jort. A. J., Veldhuizen, Elien E., De Schepper, Kees, Scheepers, Floortje E.
Published in Frontiers in psychiatry (28.04.2022)
Published in Frontiers in psychiatry (28.04.2022)
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Machine Learning Driven Profiling of Cerebrospinal Fluid Core Biomarkers in Alzheimer’s Disease and Other Neurological Disorders
Bellomo, Giovanni, Indaco, Antonio, Chiasserini, Davide, Maderna, Emanuela, Paolini Paoletti, Federico, Gaetani, Lorenzo, Paciotti, Silvia, Petricciuolo, Maya, Tagliavini, Fabrizio, Giaccone, Giorgio, Parnetti, Lucilla, Di Fede, Giuseppe
Published in Frontiers in neuroscience (31.03.2021)
Published in Frontiers in neuroscience (31.03.2021)
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Extreme value theory inspires explainable machine learning approach for seizure detection
Karpov, Oleg E., Grubov, Vadim V., Maksimenko, Vladimir A., Kurkin, Semen A., Smirnov, Nikita M., Utyashev, Nikita P., Andrikov, Denis A., Shusharina, Natalia N., Hramov, Alexander E.
Published in Scientific reports (06.07.2022)
Published in Scientific reports (06.07.2022)
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Stereotyped high-frequency oscillations discriminate seizure onset zones and critical functional cortex in focal epilepsy
Liu, Su, Gurses, Candan, Sha, Zhiyi, Quach, Michael M, Sencer, Altay, Bebek, Nerses, Curry, Daniel J, Prabhu, Sujit, Tummala, Sudhakar, Henry, Thomas R, Ince, Nuri F
Published in Brain (London, England : 1878) (01.03.2018)
Published in Brain (London, England : 1878) (01.03.2018)
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Predicting the likelihood of need for future keratoplasty intervention using artificial intelligence
Yousefi, Siamak, Takahashi, Hidenori, Hayashi, Takahiko, Tampo, Hironobu, Inoda, Satoru, Arai, Yusuke, Tabuchi, Hitoshi, Asbell, Penny
Published in The Ocular Surface (01.04.2020)
Published in The Ocular Surface (01.04.2020)
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C2 pars interarticularis length on the side of high-riding vertebral artery with implications for pars screw insertion
Klepinowski, Tomasz, Kałachurska, Miszela, Chylewski, Michał, Żyłka, Natalia, Taterra, Dominik, Łątka, Kajetan, Pala, Bartłomiej, Poncyljusz, Wojciech, Sagan, Leszek
Published in Scientific reports (28.05.2025)
Published in Scientific reports (28.05.2025)
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Convergence of cytokine dysregulation and antibody deficiency in common variable immunodeficiency with inflammatory complications
Abyazi, Miranda L., Bell, Kayla A., Gyimesi, Gavin, Baker, Turner S., Byun, Minji, Ko, Huaibin M., Cunningham-Rundles, Charlotte, Feng, Feng, Maglione, Paul J.
Published in Journal of allergy and clinical immunology (01.01.2022)
Published in Journal of allergy and clinical immunology (01.01.2022)
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Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings
Athreya, Arjun P., Brückl, Tanja, Binder, Elisabeth B., John Rush, A., Biernacka, Joanna, Frye, Mark A., Neavin, Drew, Skime, Michelle, Monrad, Ditlev, Iyer, Ravishankar K., Mayes, Taryn, Trivedi, Madhukar, Carter, Rickey E., Wang, Liewei, Weinshilboum, Richard M., Croarkin, Paul E., Bobo, William V.
Published in Neuropsychopharmacology (New York, N.Y.) (01.06.2021)
Published in Neuropsychopharmacology (New York, N.Y.) (01.06.2021)
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Competitive neural layer-based method to identify people with high risk for diabetic foot
Ferreira, Ana Cláudia Barbosa Honório, Ferreira, Danton Diego, Oliveira, Henrique Ceretta, Resende, Igor Carvalho de, Anjos, André, Lopes, Maria Helena Baena de Moraes
Published in Computers in biology and medicine (01.05.2020)
Published in Computers in biology and medicine (01.05.2020)
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Electrical Stimulation of Temporal and Limbic Circuitry Produces Distinct Responses in Human Ventral Temporal Cortex
Huang, Harvey, Gregg, Nicholas M., Ojeda Valencia, Gabriela, Brinkmann, Benjamin H., Lundstrom, Brian N., Worrell, Gregory A., Miller, Kai J., Hermes, Dora
Published in The Journal of neuroscience (14.06.2023)
Published in The Journal of neuroscience (14.06.2023)
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