| Radiomics-based prognosis analysis for non-small cell lung cancer Y Zhang, A Oikonomou, A Wong, MA Haider, F Khalvati Scientific reports 7 (1), 46349, 2017 | 272 | 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 | 198 | 2015 |
| Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models F Khalvati, A Wong, MA Haider BMC medical imaging 15, 1-14, 2015 | 192 | 2015 |
| Prostate Cancer Detection using Deep Convolutional Neural Networks S Yoo, I Gujrathi, MA Haider, F Khalvati Scientific Reports 9, 2019 | 175 | 2019 |
| 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), 4003, 2018 | 148 | 2018 |
| 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, 1-7, 2017 | 135 | 2017 |
| Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images S Motamed, P Rogalla, F Khalvati Informatics in medicine unlocked 27, 100779, 2021 | 120 | 2021 |
| 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 | 107 | 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 | 89 | 2017 |
| Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and cholangiocarcinoma to … X Liu, F Khalvati, K Namdar, S Fischer, S Lewis, B Taouli, MA Haider, ... European Radiology 31, 244-255, 2021 | 88 | 2021 |
| 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, 1-9, 2017 | 85 | 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), 041307-041307, 2017 | 80 | 2017 |
| Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know MW Wagner, K Namdar, A Biswas, S Monah, F Khalvati, BB Ertl-Wagner Neuroradiology, 1-11, 2021 | 77 | 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), 5449, 2019 | 73 | 2019 |
| CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging Y Zhang, EM Lobo-Mueller, P Karanicolas, S Gallinger, MA Haider, ... BMC medical imaging 20, 1-8, 2020 | 70 | 2020 |
| RANDGAN: randomized generative adversarial network for detection of COVID-19 in chest X-ray S Motamed, P Rogalla, F Khalvati Scientific Reports 11 (1), 8602, 2021 | 63 | 2021 |
| 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 | 58 | 2019 |
| A brief review of deep multi-task learning and auxiliary task learning P Vafaeikia, K Namdar, F Khalvati arXiv preprint arXiv:2007.01126, 2020 | 57 | 2020 |
| A comprehensive study of data augmentation strategies for prostate cancer detection in diffusion-weighted MRI using convolutional neural networks R Hao, K Namdar, L Liu, MA Haider, F Khalvati Journal of Digital Imaging 34, 862-876, 2021 | 56 | 2021 |
| A transfer learning–based active learning framework for brain tumor classification R Hao, K Namdar, L Liu, F Khalvati Frontiers in artificial intelligence 4, 635766, 2021 | 50 | 2021 |
