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Ahmad Chaddad

Showing results (11-20 of 43) with videos related to

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Scientific Reports|April 1, 2017
Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and ageAhmad Chaddad, Christian Desrosiers, Matthew Toews
IEEE Transactions on Neural Networks and Learning Systems|October 20, 2021
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray ImagesAhmad Chaddad, Lama Hassan, Christian Desrosiers
Cancers|August 1, 2018
Multimodal Radiomic Features for the Predicting Gleason Score of Prostate CancerAhmad Chaddad, Michael J Kucharczyk, Tamim Niazi
Sensors (Basel, Switzerland)|January 21, 2023
Survey of Explainable AI Techniques in HealthcareAhmad Chaddad, Jihao Peng, Jian Xu, et al.
Medical & Biological Engineering & Computing|June 20, 2018
Prediction of survival with multi-scale radiomic analysis in glioblastoma patientsAhmad Chaddad, Siham Sabri, Tamim Niazi, et al.
Oncotarget|December 22, 2017
Predicting survival time of lung cancer patients using radiomic analysisAhmad Chaddad, Christian Desrosiers, Matthew Toews, et al.
Sensors (Basel, Switzerland)|July 29, 2023
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and TechniquesAhmad Chaddad, Yihang Wu, Reem Kateb, et al.
Cognitive Neurodynamics|September 23, 2025
Towards a transparent and interpretable AI model for medical image classificationsBinbin Wen, Yihang Wu, Tareef Daqqaq, et al.
The British Journal of Radiology|October 27, 2016
A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcomeAhmad Chaddad, Christian Desrosiers, Lama Hassan, et al.
BMC Neuroscience|August 20, 2017
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorderAhmad Chaddad, Christian Desrosiers, Lama Hassan, et al.
Pageof 5

Showing results (11-20 of 43) with videos related to

Sort By:
Pageof 5
Scientific Reports|April 1, 2017
Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and ageAhmad Chaddad, Christian Desrosiers, Matthew Toews
IEEE Transactions on Neural Networks and Learning Systems|October 20, 2021
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray ImagesAhmad Chaddad, Lama Hassan, Christian Desrosiers
Cancers|August 1, 2018
Multimodal Radiomic Features for the Predicting Gleason Score of Prostate CancerAhmad Chaddad, Michael J Kucharczyk, Tamim Niazi
Sensors (Basel, Switzerland)|January 21, 2023
Survey of Explainable AI Techniques in HealthcareAhmad Chaddad, Jihao Peng, Jian Xu, et al.
Medical & Biological Engineering & Computing|June 20, 2018
Prediction of survival with multi-scale radiomic analysis in glioblastoma patientsAhmad Chaddad, Siham Sabri, Tamim Niazi, et al.
Oncotarget|December 22, 2017
Predicting survival time of lung cancer patients using radiomic analysisAhmad Chaddad, Christian Desrosiers, Matthew Toews, et al.
Sensors (Basel, Switzerland)|July 29, 2023
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and TechniquesAhmad Chaddad, Yihang Wu, Reem Kateb, et al.
Cognitive Neurodynamics|September 23, 2025
Towards a transparent and interpretable AI model for medical image classificationsBinbin Wen, Yihang Wu, Tareef Daqqaq, et al.
The British Journal of Radiology|October 27, 2016
A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcomeAhmad Chaddad, Christian Desrosiers, Lama Hassan, et al.
BMC Neuroscience|August 20, 2017
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorderAhmad Chaddad, Christian Desrosiers, Lama Hassan, et al.
Pageof 5