Zobrazeno 1 - 10
of 48
pro vyhledávání: '"BenTaieb, Aicha"'
Autor:
Hu, Qiyuan, Rizvi, Abbas A., Schau, Geoffery, Ingale, Kshitij, Muller, Yoni, Baits, Rachel, Pretzer, Sebastian, BenTaieb, Aïcha, Gordhamer, Abigail, Nussenzveig, Roberto, Cole, Adam, Leavitt, Matthew O., Joshi, Rohan P., Beaubier, Nike, Stumpe, Martin C., Nagpal, Kunal
Microsatellite instability-high (MSI-H) is a tumor agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in part due to low prevalence and assay cost. As such, prediction of MSI st
Externí odkaz:
http://arxiv.org/abs/2310.08743
Autor:
Ingale, Kshitij, Hong, Sun Hae, Bell, Josh S. K., Rizvi, Abbas, Welch, Amy, Sha, Lingdao, Ho, Irvin, Nagpal, Kunal, BenTaieb, Aicha, Joshi, Rohan P, Stumpe, Martin C
MET protein overexpression is a targetable event in non-small cell lung cancer (NSCLC) and is the subject of active drug development. Challenges in identifying patients for these therapies include lack of access to validated testing, such as standard
Externí odkaz:
http://arxiv.org/abs/2310.07682
Autor:
Osinski, Bolesław L., BenTaieb, Aïcha, Ho, Irvin, Jones, Ryan D., Joshi, Rohan P., Westley, Andrew, Carlson, Michael, Willis, Caleb, Schleicher, Luke, Mahon, Brett M., Stumpe, Martin C.
To achieve minimum DNA input and tumor purity requirements for next-generation sequencing (NGS), pathologists visually estimate macrodissection and slide count decisions. Misestimation may cause tissue waste and increased laboratory costs. We develop
Externí odkaz:
http://arxiv.org/abs/2203.13948
Autor:
Ingale, Kshitij, Hong, Sun Hae, Bell, Josh S.K., Rizvi, Abbas, Welch, Amy, Sha, Lingdao, Ho, Irvin, Nagpal, Kunal, Bentaieb, Aïcha, Joshi, Rohan P., Stumpe, Martin C.
Publikováno v:
In The American Journal of Pathology June 2024 194(6):1020-1032
Autor:
BenTaieb, Aïcha, Hamarneh, Ghassan
Histopathology images; microscopy images of stained tissue biopsies contain fundamental prognostic information that forms the foundation of pathological analysis and diagnostic medicine. However, diagnostics from histopathology images generally rely
Externí odkaz:
http://arxiv.org/abs/1910.12329
Autor:
Taghanaki, Saeid Asgari, Bentaieb, Aicha, Sharma, Anmol, Zhou, S. Kevin, Zheng, Yefeng, Georgescu, Bogdan, Sharma, Puneet, Grbic, Sasa, Xu, Zhoubing, Comaniciu, Dorin, Hamarneh, Ghassan
Skip connections in deep networks have improved both segmentation and classification performance by facilitating the training of deeper network architectures, and reducing the risks for vanishing gradients. They equip encoder-decoder-like networks wi
Externí odkaz:
http://arxiv.org/abs/1804.05181
Akademický článek
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Publikováno v:
In Computerized Medical Imaging and Graphics December 2018 70:111-118
Publikováno v:
In Medical Image Analysis July 2017 39:194-205
Akademický článek
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