| Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models F Khalvati, A Wong, MA Haider BMC medical imaging 15 (1), 1-14, 2015 | 148 | 2015 |
| Radiomics-based prognosis analysis for non-small cell lung cancer Y Zhang, A Oikonomou, A Wong, MA Haider, F Khalvati Scientific reports 7 (1), 1-8, 2017 | 136 | 2017 |
| MAPS: a quantitative radiomics approach for prostate cancer detection A Cameron, F Khalvati, MA Haider, A Wong IEEE Transactions on Biomedical Engineering 63 (6), 1145-1156, 2015 | 125 | 2015 |
| CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma–a quantitative analysis A Eilaghi, S Baig, Y Zhang, J Zhang, P Karanicolas, S Gallinger, ... BMC medical imaging 17 (1), 1-7, 2017 | 78 | 2017 |
| Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy A Oikonomou, F Khalvati, PN Tyrrell, MA Haider, U Tarique, ... Scientific reports 8 (1), 1-11, 2018 | 70 | 2018 |
| Medical image classification via SVM using LBP features from saliency-based folded data Z Camlica, HR Tizhoosh, F Khalvati 2015 IEEE 14th international conference on Machine Learning and Applications …, 2015 | 63 | 2015 |
| Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction D Kumar, AG Chung, MJ Shaifee, F Khalvati, MA Haider, A Wong Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 61 | 2017 |
| CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib MA Haider, A Vosough, F Khalvati, A Kiss, B Ganeshan, GA Bjarnason Cancer Imaging 17 (1), 1-9, 2017 | 49 | 2017 |
| Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks T Clark, J Zhang, S Baig, A Wong, MA Haider, F Khalvati Journal of Medical Imaging 4 (4), 041307, 2017 | 36 | 2017 |
| EFIS–Evolving Fuzzy Image Segmentation A Othman, H Tizhoosh, F Khalvati IEEE Transactions on Fuzzy Systems 22 (1), 72-82, 2014 | 36 | 2014 |
| Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images T Clark, A Wong, MA Haider, F Khalvati International Conference on Image Analysis and Recognition (ICIAR) 10317, 97-104, 2017 | 33 | 2017 |
| Autoencoding the retrieval relevance of medical images Z Camlica, HR Tizhoosh, F Khalvati 2015 International Conference on Image Processing Theory, Tools and …, 2015 | 33 | 2015 |
| Prostate Cancer Detection using Deep Convolutional Neural Networks S Yoo, I Gujrathi, MA Haider, F Khalvati Scientific Reports 9, 2019 | 32 | 2019 |
| Automated Segmentation of Breast in 3D MR Images Using a Robust Atlas F Khalvati, C Gallego Ortiz, S Balasingham, A Martel IEEE Transactions on Medical Imaging, 2015 | 30 | 2015 |
| Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework A Chung, F Khalvati, M Shafiee, M Haider, A Wong IEEE Access 3, 2531 - 2541, 2015 | 25 | 2015 |
| Value of increasing biopsy cores per target with cognitive MRI-targeted transrectal US prostate biopsy M Zhang, L Milot, F Khalvati, L Sugar, M Downes, SM Baig, L Klotz, ... Radiology 291 (1), 83-89, 2019 | 23 | 2019 |
| Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images Y Zhang, EM Lobo-Mueller, P Karanicolas, S Gallinger, MA Haider, ... Scientific Reports 11 (1), 1-11, 2021 | 22 | 2021 |
| Prognostic value of CT radiomic features in resectable pancreatic ductal adenocarcinoma F Khalvati, Y Zhang, S Baig, EM Lobo-Mueller, P Karanicolas, S Gallinger, ... Scientific reports 9 (1), 1-9, 2019 | 22 | 2019 |
| Opposition-based window memoization for morphological algorithms F Khalvati, HR Tizhoosh, MD Aagaard 2007 IEEE Symposium on Computational Intelligence in Image and Signal …, 2007 | 22 | 2007 |
| Discovery radiomics for multi-parametric MRI prostate cancer detection AG Chung, MJ Shafiee, D Kumar, F Khalvati, MA Haider, A Wong arXiv preprint arXiv:1509.00111, 2015 | 20 | 2015 |
