| Tensor radiomics: paradigm for systematic incorporation of multi-flavoured radiomics features A Rahmim, A Toosi, MR Salmanpour, N Dubljevic, I Janzen, I Shiri, ... 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2022 | 15 | 2022 |
| Segmentation and risk score prediction of head and neck cancers in PET/CT volumes with 3D U-Net and Cox proportional hazard neural networks F Yousefirizi, I Janzen, N Dubljevic, YE Liu, C Hill, C MacAulay, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 236-247, 2021 | 7 | 2021 |
| A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma S Ahamed, N Dubljevic, I Bloise, C Gowdy, P Martineau, D Wilson, ... Medical Imaging 2022: Image Processing 12032, 934-941, 2022 | 5 | 2022 |
| Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images F Yousefirizi, N Dubljevic, S Ahamed, I Bloise, C Gowdy, Y Farag, ... Medical Imaging 2022: Image Processing 12032, 214-220, 2022 | 5 | 2022 |
| Effect of MR head coil geometry on deep‐learning‐based MR image reconstruction N Dubljevic, S Moore, ML Lauzon, R Souza, R Frayne Magnetic Resonance in Medicine, 2024 | | 2024 |
| Tensor Radiomics: Applications of Multi-Quantized Features to Oncologic PET/CT Images N Dubljevic | | 2022 |
