| 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 63 (12), 1957-1967, 2021 | 110 | 2021 |
| 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 (1), 244-255, 2021 | 96 | 2021 |
| A brief review of deep multi-task learning and auxiliary task learning P Vafaeikia, K Namdar, F Khalvati arXiv preprint arXiv:2007.01126, 2020 | 66 | 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 (4), 862-876, 2021 | 65 | 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 | 61 | 2021 |
| Radiomics of pediatric low-grade gliomas: toward a pretherapeutic differentiation of BRAF-mutated and BRAF-fused tumors MW Wagner, N Hainc, F Khalvati, K Namdar, L Figueiredo, M Sheng, ... American Journal of Neuroradiology 42 (4), 759-765, 2021 | 56 | 2021 |
| A pre-TACE radiomics model to predict HCC progression and recurrence in liver transplantation: a pilot study on a novel biomarker T Ivanics, E Salinas-Miranda, P Abreu, F Khalvati, K Namdar, X Dong, ... Transplantation 105 (11), 2435-2444, 2021 | 33 | 2021 |
| A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account K Namdar, MA Haider, F Khalvati Frontiers in artificial intelligence 4, 2021 | 28 | 2021 |
| Using decision curve analysis to benchmark performance of a magnetic resonance imaging–based deep learning model for prostate cancer risk assessment D Deniffel, N Abraham, K Namdar, X Dong, E Salinas, L Milot, F Khalvati, ... European Radiology 30 (12), 6867-6876, 2020 | 27 | 2020 |
| Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma/Diffuse Intrinsic Pontine Glioma MW Wagner, K Namdar, M Napoleone, N Hainc, A Amirabadi, A Fonseca, ... Canadian Association of Radiologists Journal, 08465371221109921, 2022 | 19 | 2022 |
| Using Machine Learning and Silver Nanoparticle-Based Surface-Enhanced Raman Spectroscopy for Classification of Cardiovascular Disease Biomarkers K Dixon, R Bonon, F Ivander, S Ale Ebrahim, K Namdar, M Shayegannia, ... ACS Applied Nano Materials 6 (17), 15385-15396, 2023 | 15 | 2023 |
| Automated adolescence scoliosis detection using augmented U-net with non-square kernels Y Wu, K Namdar, C Chen, S Hosseinpour, M Shroff, AS Doria, F Khalvati Canadian Association of Radiologists Journal 74 (4), 667-675, 2023 | 11 | 2023 |
| Validation of prognostic radiomic features from resectable pancreatic ductal adenocarcinoma in patients with advanced disease undergoing chemotherapy E Salinas-Miranda, F Khalvati, K Namdar, D Deniffel, X Dong, E Abbas, ... Canadian Association of Radiologists Journal 72 (4), 605-613, 2021 | 11 | 2021 |
| T2-FLAIR mismatch sign in pediatric low-grade glioma MW Wagner, L Nobre, K Namdar, F Khalvati, U Tabori, C Hawkins, ... American Journal of Neuroradiology 44 (7), 841-845, 2023 | 10 | 2023 |
| Dataset Size Sensitivity Analysis of Machine Learning Classifiers to Differentiate Molecular Markers of Pediatric Low-Grade Gliomas Based on MRI MW Wagner, K Namdar, A Alqabbani, N Hainc, LN Figuereido, M Sheng, ... | 8 | 2021 |
| Increased confidence of radiomics facilitating pretherapeutic differentiation of BRAF-altered pediatric low-grade glioma K Kudus, MW Wagner, K Namdar, L Nobre, E Bouffet, U Tabori, ... European Radiology 34 (4), 2772-2781, 2024 | 6 | 2024 |
| Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A Watanabe, S Ketabi, K Namdar, F Khalvati arXiv, 2022 | 6 | 2022 |
| Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection K Namdar, I Gujrathi, MA Haider, F Khalvati arXiv preprint arXiv:1911.01477, 2019 | 5 | 2019 |
| A brief review of deep multi-task learning and auxiliary task learning. arXiv 2020 P Vafaeikia, K Namdar, F Khalvati arXiv preprint arXiv:2007.01126, 0 | 5 | |
| Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation C Chen, K Namdar, Y Wu, S Hosseinpour, M Shroff, AS Doria, F Khalvati arXiv preprint arXiv:2211.14122, 2022 | 4 | 2022 |
Farzad KhalvatiAI Chair in Medical Imaging, The Hospital for Sick Children, University of Toronto在 utoronto.ca 的电子邮件经过验证
