Search Results - Institute for Neural Computation

1H NMR- based metabolomics approaches as non- invasive tools for diagnosis of endometriosis by Negar Ghazi, Mohammad Arjmand, Ziba Akbari, Ali Owsat Mellati, Hamid Saheb-Kashaf, Zahra Zamani

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Artificial Intelligence for Skin Cancer Detection: Scoping Review by Abdulrahman Takiddin, Jens Schneider, Yin Yang, Alaa Abd-Alrazaq, Mowafa Househ

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Unmanned Aircraft Systems with Autonomous Navigation

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Neuroproteomics by Williams, Kenneth R.

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Energy Efficiency in Electric Devices, Machines and Drives

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Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis by Demeng Xia, Gaoqi Chen, Kaiwen Wu, Mengxin Yu, Zhentao Zhang, Yixian Lu, Lisha Xu, Yin Wang

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An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Mod... by Ko, Hoon, Chung, Heewon, Kang, Wu Seong, Park, Chul, Kim, Do Wan, Kim, Seong Eun, Chung, Chi Ryang, Ko, Ryoung Eun, Lee, Hooseok, Seo, Jae Ho, Choi, Tae-Young, Jaimes, Rafael, Kim, Kyung Won, Lee, Jinseok

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Animal Models for Study of Pathophysiological Mechanisms of Hypertension and Its Complications

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Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes by Benjamin Joseph Ricard, Saeed Hassanpour

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Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis by Wenhao Qi, Xiaohong Zhu, Danni He, Bin Wang, Shihua Cao, Chaoqun Dong, Yunhua Li, Yanfei Chen, Bingsheng Wang, Yankai Shi, Guowei Jiang, Fang Liu, Lizzy M M Boots, Jiaqi Li, Xiajing Lou, Jiani Yao, Xiaodong Lu, Junling Kang

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Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study by Schmitt, Max, Maron, Roman Christoph, Hekler, Achim, Stenzinger, Albrecht, Hauschild, Axel, Weichenthal, Michael, Tiemann, Markus, Krahl, Dieter, Kutzner, Heinz, Utikal, Jochen Sven, Haferkamp, Sebastian, Kather, Jakob Nikolas, Klauschen, Frederick, Krieghoff-Henning, Eva, Fröhling, Stefan, von Kalle, Christof, Brinker, Titus Josef

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Eyeblink Conditioning in Psychiatric Conditions - State of the Field and Future Directions by Tracy L. Greer

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Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020 by Xiali Xue, Xinwei Yang, Zhongyi Deng, Huan Tu, Dezhi Kong, Ning Li, Fan Xu

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The criticality Index-mortality: A dynamic machine learning prediction algorithm for mortality prediction in children cared for in an ICU by Anita K Patel, Eduardo Trujillo-Rivera, Hiroki Morizono, Murray M. Pollack

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Effects of image quantity and image source variation on machine learning histology differential diagnosis models by Elham Vali-Betts, Kevin J Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H Rashidi

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Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review by Seng Hansun, Ahmadreza Argha, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

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Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases by Veronica A. Goriacha, Oleksandr Yu. Sokolov, Kateryna M. Ugryumova, Igor M. Antonyan, Yuri V. Roshin, Alexandr I. Zelensky, Fedor G. Moshel, Taron A. Nalbandian

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Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases by Veronica A. Goriacha, Oleksandr Yu. Sokolov, Kateryna M. Ugryumova, Igor M. Antonyan, Yuri V. Roshin, Alexandr I. Zelensky, Fedor G. Moshel, Taron A. Nalbandian

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Recent Applications in Data Clustering

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A tool for federated training of segmentation models on whole slide images by Brendon Lutnick, David Manthey, Jan U. Becker, Jonathan E. Zuckerman, Luis Rodrigues, Kuang-Yu Jen, Pinaki Sarder

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