Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Abdulkadir, Ahmed"'
Autor:
Yan, Peng, Abdulkadir, Ahmed, Luley, Paul-Philipp, Rosenthal, Matthias, Schatte, Gerrit A., Grewe, Benjamin F., Stadelmann, Thilo
Publikováno v:
IEEE Acess 12 (2024) 3768-3789
Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely interventions. Deep learning, with its capacity to discern non-trivial p
Externí odkaz:
http://arxiv.org/abs/2307.05638
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 17, Iss 2, Pp 46-61 (2024)
The design and analysis of 2x2 and 3x3 phased array patched antennas operating at C-band frequencies are presented in this work. The antenna array is made up of rows and columns of patch antenna elements connected together by a shared feed network. T
Externí odkaz:
https://doaj.org/article/641daccf5aa54f45aa733cb45517ed48
Autor:
Yang, Zhijian, Wen, Junhao, Abdulkadir, Ahmed, Cui, Yuhan, Erus, Guray, Mamourian, Elizabeth, Melhem, Randa, Srinivasan, Dhivya, Govindarajan, Sindhuja T., Chen, Jiong, Habes, Mohamad, Masters, Colin L., Maruff, Paul, Fripp, Jurgen, Ferrucci, Luigi, Albert, Marilyn S., Johnson, Sterling C., Morris, John C., LaMontagne, Pamela, Marcus, Daniel S., Benzinger, Tammie L. S., Wolk, David A., Shen, Li, Bao, Jingxuan, Resnick, Susan M., Shou, Haochang, Nasrallah, Ilya M., Davatzikos, Christos
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting
Externí odkaz:
http://arxiv.org/abs/2301.10772
Autor:
Chaddad, Ahmad, lu, Qizong, Li, Jiali, Katib, Yousef, Kateb, Reem, Tanougast, Camel, Bouridane, Ahmed, Abdulkadir, Ahmed
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational resources, and technological innovations. In medicine, the sensitivity o
Externí odkaz:
http://arxiv.org/abs/2211.09317
Autor:
Wang, Rongguang, Bashyam, Vishnu, Yang, Zhijian, Yu, Fanyang, Tassopoulou, Vasiliki, Chintapalli, Sai Spandana, Skampardoni, Ioanna, Sreepada, Lasya P., Sahoo, Dushyant, Nikita, Konstantina, Abdulkadir, Ahmed, Wen, Junhao, Davatzikos, Christos
Publikováno v:
NeuroImage 269:119898 (2023)
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called generative methods, which generate new data with a probabilistic mode
Externí odkaz:
http://arxiv.org/abs/2206.07081
Autor:
Wen, Junhao, Fu, Cynthia H. Y., Tosun, Duygu, Veturi, Yogasudha, Yang, Zhijian, Abdulkadir, Ahmed, Mamourian, Elizabeth, Srinivasan, Dhivya, Bao, Jingxuan, Erus, Guray, Shou, Haochang, Habes, Mohamad, Doshi, Jimit, Varol, Erdem, Mackin, Scott R, Sotiras, Aristeidis, Fan, Yong, Saykin, Andrew J., Sheline, Yvette I., Shen, Li, Ritchie, Marylyn D., Wolk, David A., Albert, Marilyn, Resnick, Susan M., Davatzikos, Christos
Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms and pave the road to precision and individualized medicine. We sought t
Externí odkaz:
http://arxiv.org/abs/2110.11347
Autor:
Hwang, Gyujoon, Abdulkadir, Ahmed, Erus, Guray, Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Sotiras, Aristeidis, Srinivasan, Dhivya, Morris, John C., Marcus, Daniel, Albert, Marilyn S., Bryan, Nick R., Resnick, Susan M., Nasrallah, Ilya M., Davatzikos, Christos, Wolk, David A.
Neuroimaging biomarkers that distinguish between typical brain aging and Alzheimer's disease (AD) are valuable for determining how much each contributes to cognitive decline. Machine learning models can derive multi-variate brain change patterns rela
Externí odkaz:
http://arxiv.org/abs/2109.03723
Autor:
Yang, Zhijian, Nasrallah, Ilya M., Shou, Haochang, Wen, Junhao, Doshi, Jimit, Habes, Mohamad, Erus, Guray, Abdulkadir, Ahmed, Resnick, Susan M., Wolk, David, Davatzikos, Christos
Heterogeneity of brain diseases is a challenge for precision diagnosis/prognosis. We describe and validate Smile-GAN (SeMI-supervised cLustEring-Generative Adversarial Network), a novel semi-supervised deep-clustering method, which dissects neuroanat
Externí odkaz:
http://arxiv.org/abs/2102.12582