Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Khashayar Namdar"'
Autor:
Kareem Kudus, Matthias W. Wagner, Khashayar Namdar, Julie Bennett, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit Betina Ertl-Wagner, Farzad Khalvati
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The use of targeted agents in the treatment of pediatric low-grade gliomas (pLGGs) relies on the determination of molecular status. It has been shown that genetic alterations in pLGG can be identified non-invasively using MRI-based radiomic
Externí odkaz:
https://doaj.org/article/fa7cfa07525c405ca9a31558b2c4db19
Autor:
Maryam Taheri-Shirazi, Khashayar Namdar, Kelvin Ling, Karima Karmali, Melissa D. McCradden, Wayne Lee, Farzad Khalvati
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
In this work, we examine magnetic resonance imaging (MRI) and ultrasound (US) appointments at the Diagnostic Imaging (DI) department of a pediatric hospital to discover possible relationships between selected patient features and no-show or long wait
Externí odkaz:
https://doaj.org/article/e9706e994e3d4ccd8009e0bb890bb8e0
Publikováno v:
Frontiers in Radiology, Vol 2 (2022)
As deep learning is widely used in the radiology field, the explainability of Artificial Intelligence (AI) models is becoming increasingly essential to gain clinicians’ trust when using the models for diagnosis. In this research, three experiment s
Externí odkaz:
https://doaj.org/article/b761c74164414746aa3203586d0d70ae
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for reporting performance of binary classifiers. In this paper, first we present a comprehensive review o
Externí odkaz:
https://doaj.org/article/cdc4554b35574a33b03b9561a0a465be
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Brain tumor is one of the leading causes of cancer-related death globally among children and adults. Precise classification of brain tumor grade (low-grade and high-grade glioma) at an early stage plays a key role in successful prognosis and treatmen
Externí odkaz:
https://doaj.org/article/d9350570ad754a77852f7a90c3eb7bb6
Autor:
Birgit Ertl-Wagner, Matthias W. Wagner, Khashayar Namdar, Suranna Monah, Asthik Biswas, Farzad Khalvati
Publikováno v:
Neuroradiology
Purpose Artificial intelligence (AI) is playing an ever-increasing role in Neuroradiology. Methods When designing AI-based research in neuroradiology and appreciating the literature, it is important to understand the fundamental principles of AI. Tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::603546efd8169167a74286574ac81a73
http://europepmc.org/articles/PMC8449698
http://europepmc.org/articles/PMC8449698
Publikováno v:
J Digit Imaging
Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the true distribution. While different augmentation strategies and their co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb7d122ac77e4d03736b64e716d02598
https://doi.org/10.1007/s10278-021-00478-7
https://doi.org/10.1007/s10278-021-00478-7
Autor:
Yujie Wu, Khashayar Namdar, Chaojun Chen, Shahob Hosseinpour, Manohar Shroff, Andrea S. Doria, Farzad Khalvati
Publikováno v:
Canadian Association of Radiologists Journal. :084653712311631
Purpose: Scoliosis is a deformity of the spine, and as a measure of scoliosis severity, Cobb angle is fundamental to the diagnosis of deformities that require treatment. Conventional Cobb angle measurement and assessment is usually done manually, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1606db4115b98f9734eb367704174eb
https://doi.org/10.1177/08465371231163187
https://doi.org/10.1177/08465371231163187
Autor:
Khashayar Namdar, Emmanuel Salinas, Masoom A. Haider, Xin Dong, Dominik Deniffel, Nabila Abraham, Farzad Khalvati, Laurent Milot
Publikováno v:
European Radiology. 30:6867-6876
To benchmark the performance of a calibrated 3D convolutional neural network (CNN) applied to multiparametric MRI (mpMRI) for risk assessment of clinically significant prostate cancer (csPCa) using decision curve analysis (DCA). We retrospectively an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b372f43d9bcceb7b980a4cef7fa2dbaa
https://doi.org/10.1007/s00330-020-07030-1
https://doi.org/10.1007/s00330-020-07030-1
Autor:
Birgit Ertl-Wagner, Michael Zhang, Cynthia Hawkins, Uri Tabori, Manohar Shroff, Abdullah Alqabbani, Min Sheng, Khashayar Namdar, Nicolin Hainc, Liana Nobre Figuereido, Eric Bouffet, Farzad Khalvati, Kristen W. Yeom, Matthias W. Wagner
Machine learning (ML) approaches can predict BRAF status of pediatric low-grade gliomas (pLGG) on pre-therapeutic brain MRI. The impact of training data sample size and type of ML model is not established. In this bi-institutional retrospective study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edcc9e0c1945b17409907613153c1fa7
https://doi.org/10.21203/rs.3.rs-883606/v1
https://doi.org/10.21203/rs.3.rs-883606/v1
