| 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 |
| Submillimeter diameter rotary-pullback fiber-optic endoscope for narrowband red-green-blue reflectance, optical coherence tomography, and autofluorescence in vivo imaging AL Buenconsejo, G Hohert, M Manning, E Abouei, R Tingley, I Janzen, ... Journal of biomedical optics 25 (3), 032005-032005, 2020 | 13 | 2020 |
| 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 |
| Machine learning and deep learning approaches for classification of sub-cm lung nodules in ct scans (conference presentation) R Abraham, I Janzen, S Seyyedi, S Khattra, J Mayo, R Yuan, R Myers, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113141G, 2020 | 2 | 2020 |
| Prediction of Disease Progression to Upfront Pembrolizumab Monotherapy in Advanced Non-Small-Cell Lung Cancer with High PD-L1 Expression Using Baseline CT Disease … A Silver, C Ho, Q Ye, J Zhang, I Janzen, J Li, M Martin, L Wu, Y Wang, ... Current Oncology 30 (6), 5546-5559, 2023 | 1 | 2023 |
| OA06. 01 Comparison Between Radiomics-Based Machine Learning and Deep Learning Image Classification for Sub-Cm Lung Nodules I Janzen, S Seyyedi, R Abraham, S Atkar-Khattra, J Mayo, R Yuan, ... Journal of Thoracic Oncology 14 (10), S219-S220, 2019 | 1 | 2019 |
| MA19. 11 Predicting Future Lung Cancer Risk with Low-Dose Screening CT Using an Artificial Intelligence Model R Yuan, I Janzen, L Devnath, S Khattra, R Myers, S Lam, C MacAulay Journal of Thoracic Oncology 18 (11), S174, 2023 | | 2023 |
| EP01. 05-007 Radiomics Based Machine Learning Model for Sub-cm Lung Nodule Malignancy Diagnosis in the PanCan Screening Study I Janzen, R Abraham, S Seyyedi, S Khattra, J Mayo, R Yuan, R Myers, ... Journal of Thoracic Oncology 17 (9), S184-S185, 2022 | | 2022 |
| P57. 04 Predicting Treatment Response to 1st-line Pembrolizumab in Advanced Non-Small Cell Lung Cancer (NSCLC) Patients with High PDL1 Expression I Janzen, R Abraham, S Seyyedi, C Ho, B Melosky, M Martin, S Lam, ... Journal of Thoracic Oncology 16 (10), S1138, 2021 | | 2021 |
| Abstract PO-053: Machine learning CADx process for classification of lung nodules below the Lung-RADS 4A threshold in LDCT scans R Abraham, I Janzen, S Seyyedi, S Khattra, J Mayo, R Yuan, R Meyers, ... Clinical Cancer Research 27 (5_Supplement), PO-053-PO-053, 2021 | | 2021 |
| autofluorescence in vivo imaging AL Buenconsejo, G Hohert, M Manning, E Abouei, R Tingley, I Janzen, ... Journal of Biomedical Optics 32005, 1, 2020 | | 2020 |
| Sub-millimeter diameter high-resolution rotary-pullback fibre optic endoscope for RGB in-vivo imaging (Conference Presentation) AL Buenconsejo, G Hohert, I Janzen, A Lee, P Lane, C MacAulay Endoscopic Microscopy XIV 10854, 108540P, 2019 | | 2019 |
| Performance Improvements in HYPR-OSEM JCK Cheng, J Matthews, R Boellaard, I Janzen, J Anton-Rodriguez, ... 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017 | | 2017 |
| Evaluation of HYPR-OSEM Using Experimental Phantom and Clinical Patient Data JCK Cheng, J Matthews, R Boellaard, I Janzen, J Anton-Rodriguez, ... 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2017 | | 2017 |
