Zobrazeno 1 - 10
of 308
pro vyhledávání: '"Abdulkadir Ahmed"'
Autor:
Bakar Ali Adam, MD, Yahye Garad Mohamed, MD, Mohamed Sheikh Hassan, MD, Nor Osman Sidow, MD, Mohamed osman omar jeele, MD, Abdulkadir Ahmed Mohamed, MD, Mohamed Farah Osman Hidig, MD, Abdiwahid Ahmed Ibrahim, MD, Abdikadir Mohamed Dirie, MD, Ahmed Issak Hussein, MD, Mohamed Omar Hassan, MD
Publikováno v:
Radiology Case Reports, Vol 19, Iss 12, Pp 6638-6641 (2024)
Choriocarcinoma is a rare and aggressive form of gestational trophoblastic disease with a high potential for metastasis. We report the case of a 31-year-old female who presented with severe headaches, left-sided weakness, and speech difficulties. Her
Externí odkaz:
https://doaj.org/article/d832a5594f9741dd8d871199d71b18b1
Autor:
Nor Osman Sidow, Mohamed Farah Osman, Mohamed Sheikh Hassan, Abdulkadir Ahmed, Abdiwahid Ahmed Ibrahim
Publikováno v:
Clinical Case Reports, Vol 11, Iss 4, Pp n/a-n/a (2023)
Abstract A previously healthy middle‐aged man with no vascular risk factors developed a hemorrhagic stroke. He had been using tramadol due to erectile dysfunction for 2 years. So, the patient developed right basal ganglia due to tramadol addiction.
Externí odkaz:
https://doaj.org/article/6b74a1f2479f447096685e8ffecdbc06
Publikováno v:
SAGE Open, Vol 11 (2021)
Civil society organizations have played a pivotal role in democratization process in Nigeria since the advent of the Fourth Republic. They have greatly helped in the success of the 2015 and 2019 General Elections through pre-election, during election
Externí odkaz:
https://doaj.org/article/ba70fdad504a496f8b3f561b01a5f454
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
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