Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nabulsi, Zaid"'
Autor:
Blankemeier, Louis, Cohen, Joseph Paul, Kumar, Ashwin, Van Veen, Dave, Gardezi, Syed Jamal Safdar, Paschali, Magdalini, Chen, Zhihong, Delbrouck, Jean-Benoit, Reis, Eduardo, Truyts, Cesar, Bluethgen, Christian, Jensen, Malte Engmann Kjeldskov, Ostmeier, Sophie, Varma, Maya, Valanarasu, Jeya Maria Jose, Fang, Zhongnan, Huo, Zepeng, Nabulsi, Zaid, Ardila, Diego, Weng, Wei-Hung, Junior, Edson Amaro, Ahuja, Neera, Fries, Jason, Shah, Nigam H., Johnston, Andrew, Boutin, Robert D., Wentland, Andrew, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Chaudhari, Akshay S.
Over 85 million computed tomography (CT) scans are performed annually in the US, of which approximately one quarter focus on the abdomen. Given the current radiologist shortage, there is a large impetus to use artificial intelligence to alleviate the
Externí odkaz:
http://arxiv.org/abs/2406.06512
Autor:
Baur, Sebastien, Nabulsi, Zaid, Weng, Wei-Hung, Garrison, Jake, Blankemeier, Louis, Fishman, Sam, Chen, Christina, Kakarmath, Sujay, Maimbolwa, Minyoi, Sanjase, Nsala, Shuma, Brian, Matias, Yossi, Corrado, Greg S., Patel, Shwetak, Shetty, Shravya, Prabhakara, Shruthi, Muyoyeta, Monde, Ardila, Diego
Health acoustic sounds such as coughs and breaths are known to contain useful health signals with significant potential for monitoring health and disease, yet are underexplored in the medical machine learning community. The existing deep learning sys
Externí odkaz:
http://arxiv.org/abs/2403.02522
Autor:
Blankemeier, Louis, Baur, Sebastien, Weng, Wei-Hung, Garrison, Jake, Matias, Yossi, Prabhakara, Shruthi, Ardila, Diego, Nabulsi, Zaid
Health-related acoustic signals, such as cough and breathing sounds, are relevant for medical diagnosis and continuous health monitoring. Most existing machine learning approaches for health acoustics are trained and evaluated on specific tasks, limi
Externí odkaz:
http://arxiv.org/abs/2309.05843
Autor:
Chitturi, Varun, Nabulsi, Zaid
Determining the poverty levels of various regions throughout the world is crucial in identifying interventions for poverty reduction initiatives and directing resources fairly. However, reliable data on global economic livelihoods is hard to come by,
Externí odkaz:
http://arxiv.org/abs/2112.00011
Autor:
Kazemzadeh, Sahar, Yu, Jin, Jamshy, Shahar, Pilgrim, Rory, Nabulsi, Zaid, Chen, Christina, Beladia, Neeral, Lau, Charles, McKinney, Scott Mayer, Hughes, Thad, Kiraly, Atilla, Kalidindi, Sreenivasa Raju, Muyoyeta, Monde, Malemela, Jameson, Shih, Ting, Corrado, Greg S., Peng, Lily, Chou, Katherine, Chen, Po-Hsuan Cameron, Liu, Yun, Eswaran, Krish, Tse, Daniel, Shetty, Shravya, Prabhakara, Shruthi
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO recommends chest radiographs (CXRs) for TB screening, the limited availability of CXR interpretation is a barrier. We trained a deep learning system (DLS) to detect active pulmona
Externí odkaz:
http://arxiv.org/abs/2105.07540
Autor:
Nabulsi, Zaid, Sellergren, Andrew, Jamshy, Shahar, Lau, Charles, Santos, Edward, Kiraly, Atilla P., Ye, Wenxing, Yang, Jie, Pilgrim, Rory, Kazemzadeh, Sahar, Yu, Jin, Kalidindi, Sreenivasa Raju, Etemadi, Mozziyar, Garcia-Vicente, Florencia, Melnick, David, Corrado, Greg S., Peng, Lily, Eswaran, Krish, Tse, Daniel, Beladia, Neeral, Liu, Yun, Chen, Po-Hsuan Cameron, Shetty, Shravya
Publikováno v:
Nature Scientific Reports (2021)
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has been the main focus of several artificial intelligen
Externí odkaz:
http://arxiv.org/abs/2010.11375
Autor:
Nabulsi, Zaid1, Sellergren, Andrew1, Jamshy, Shahar1, Lau, Charles2, Santos, Edward1, Kiraly, Atilla P.1, Ye, Wenxing1, Yang, Jie1, Pilgrim, Rory1, Kazemzadeh, Sahar1, Yu, Jin1, Kalidindi, Sreenivasa Raju3, Etemadi, Mozziyar4, Garcia-Vicente, Florencia4, Melnick, David4, Corrado, Greg S.1, Peng, Lily1, Eswaran, Krish1, Tse, Daniel1 tsed@google.com, Beladia, Neeral1
Publikováno v:
Scientific Reports. 9/1/2021, Vol. 11 Issue 1, p1-15. 15p.
Akademický článek
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Akademický článek
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Autor:
Olaimat, Amin N., Taha, Sadi, Osaili, Tareq M., Aolymat, Iman, Alzyoud, Jihad A., Al-Holy, Murad A., Herzallah, Saqer, Al-Nabulsi, Zaid A., Abu-Ghoush, Laith M., Olaimat, Tamadur M., Ayyash, Mutamed, Holley, Richard A.
Publikováno v:
Journal of Allied Health; Summer2023, Vol. 52 Issue 2, p149-159, 11p