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Deep radiomic features from MRI scans predict survival outcome of
  recurrent glioblastoma

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma

15 November 2019
Ahmad Chaddad
Saima Rathore
Mingli Zhang
Christian Desrosiers
T. Niazi
ArXiv (abs)PDFHTML

Papers citing "Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma"

4 / 4 papers shown
Title
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in MedicineIEEE/CAA Journal of Automatica Sinica (JCAS), 2022
Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
214
52
0
17 Nov 2022
Future Artificial Intelligence tools and perspectives in medicine
Future Artificial Intelligence tools and perspectives in medicineCurrent Opinion in Urology (Curr Opin Urol), 2021
Ahmad Chaddad
Y. Katib
Lama Hassan
182
9
0
04 Jun 2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in
  Computerized Tomography and X-ray Images
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray ImagesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Ahmad Chaddad
Lama Hassan
Christian Desrosiers
194
27
0
04 Jun 2022
Modeling of Textures to Predict Immune Cell Status and Survival of Brain
  Tumour Patients
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour PatientsIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Ahmad Chaddad
Mingli Zhang
Lama Hassan
T. Niazi
AI4CE
140
2
0
04 Jun 2022
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