| Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder A Chaddad, C Desrosiers, L Hassan, C Tanougast BMC neuroscience 18, 1-12, 2017 | 105 | 2017 |
| Deep CNN models for predicting COVID-19 in CT and x-ray images A Chaddad, L Hassan, C Desrosiers Journal of medical imaging 8 (S1), 014502-014502, 2021 | 49 | 2021 |
| Multi texture analysis of colorectal cancer continuum using multispectral imagery A Chaddad, C Desrosiers, A Bouridane, M Toews, L Hassan, ... PloS one 11 (2), e0149893, 2016 | 49 | 2016 |
| A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome A Chaddad, C Desrosiers, L Hassan, C Tanougast The British journal of radiology 89 (1068), 20160575, 2016 | 43 | 2016 |
| Resistance to 3‐HTMC‐Induced Apoptosis Through Activation of PI3K/Akt, MEK/ERK, and p38/COX‐2/PGE2 Pathways in Human HT‐29 and HCT116 Colorectal … J Semaan, A Pinon, B Rioux, L Hassan, Y Limami, C Pouget, C Fagnère, ... Journal of Cellular Biochemistry 117 (12), 2875-2885, 2016 | 36 | 2016 |
| Magnetic resonance imaging based radiomic models of prostate cancer: A narrative review A Chaddad, MJ Kucharczyk, A Cheddad, SE Clarke, L Hassan, S Ding, ... Cancers 13 (3), 552, 2021 | 30 | 2021 |
| Resistance to ursolic acid-induced apoptosis through involvement of melanogenesis and COX-2/PGE2 pathways in human M4Beu melanoma cancer cells L Hassan, A Pinon, Y Limami, J Seeman, C Fidanzi-Dugas, F Martin, ... Experimental cell research 345 (1), 60-69, 2016 | 23 | 2016 |
| Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images A Chaddad, L Hassan, C Desrosiers IEEE Transactions on Neural Networks and Learning Systems 33 (1), 3-11, 2021 | 20 | 2021 |
| Future artificial intelligence tools and perspectives in medicine A Chaddad, Y Katib, L Hassan Current Opinion in Urology 31 (4), 371-377, 2021 | 12 | 2021 |
| Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: a comprehensive review and future prospects A Chaddad, G Tan, X Liang, L Hassan, S Rathore, C Desrosiers, Y Katib, ... Cancers 15 (15), 3839, 2023 | 11 | 2023 |
| A texture-based method for predicting molecular markers and survival outcome in lower grade glioma A Chaddad, L Hassan, Y Katib Applied Intelligence 53 (21), 24724-24738, 2023 | 8 | 2023 |
| Deep survival analysis with clinical variables for covid-19 A Chaddad, L Hassan, Y Katib, A Bouridane IEEE Journal of Translational Engineering in Health and Medicine 11, 223-231, 2023 | 3 | 2023 |
| Modeling of textures to predict immune cell status and survival of brain tumour patients A Chaddad, M Zhang, L Hassan, T Niazi 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1067-1071, 2021 | 2 | 2021 |
| Multispectral texture analysis of histopathological abnormalities in colorectal tissues A Chaddad, C Desrosiers, L Hassan, M Toews 2016 IEEE International Conference on Image Processing (ICIP), 2628-2632, 2016 | 2 | 2016 |
| Wavelet based radiomics for brain tumour phenotypes discrimination A Chaddad, A Bouridane, L Hassan, C Tanougast Proceedings-CIE 45: 2015 International Conference on Computers and …, 2016 | 2 | 2016 |
| Etude des mécanismes de résistance à l'apoptose induite par l'acide ursolique dans le mélanome humain: implication de la mélanogenèse et de la voie COX-2/PGE2 L Hassan Limoges, 2016 | | 2016 |
Ahmad ChaddadProfessor @ School of Artificial Intelligence, GUET; LIVIA-ETSVerified email at guet.edu.cn
