| Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing A Traverso, M Kazmierski, Z Shi, P Kalendralis, M Welch, HD Nissen, ... Physica Medica 61, 44-51, 2019 | 62 | 2019 |
| Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients A Traverso, M Kazmierski, ML Welch, J Weiss, S Fiset, WD Foltz, ... Radiotherapy and Oncology 143, 88-94, 2020 | 56 | 2020 |
| Machine learning helps identifying volume-confounding effects in radiomics A Traverso, M Kazmierski, I Zhovannik, M Welch, L Wee, D Jaffray, ... Physica Medica 71, 24-30, 2020 | 52 | 2020 |
| Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics M Kazmierski, M Welch, S Kim, C McIntosh, K Rey-McIntyre, SH Huang, ... Cancer Research Communications 3 (6), 1140-1151, 2023 | 11 | 2023 |
| Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology C Arrowsmith, R Reiazi, ML Welch, M Kazmierski, T Patel, A Rezaie, ... Physics and Imaging in Radiation Oncology 18, 41-47, 2021 | 9 | 2021 |
| Lymph node graph neural networks for cancer metastasis prediction M Kazmierski, B Haibe-Kains arXiv preprint arXiv:2106.01711, 2021 | 5 | 2021 |
| A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data M Kazmierski, M Welch, S Kim, C McIntosh, PM Head, NC Group, ... arXiv preprint arXiv:2101.11935, 2021 | 4 | 2021 |
| Deep-CR MTLR: A multi-modal approach for cancer survival prediction with competing risks S Kim, M Kazmierski, B Haibe-Kains Survival Prediction-Algorithms, Challenges and Applications, 223-231, 2021 | 3 | 2021 |
| Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data S Kim, M Kazmierski, K Qu, J Peoples, M Nakano, V Ramanathan, ... F1000Research 12, 118, 2023 | 2 | 2023 |
| Development of web-based quality-assurance tool for radiotherapy target delineation for head and neck cancer: quality evaluation of nasopharyngeal carcinoma JW Kim, J Marsilla, M Kazmierski, D Tkachuk, SH Huang, W Xu, J Cho, ... medRxiv, 2021.02. 24.21252123, 2021 | 2 | 2021 |
| Machine Learning for Prognostic Modeling in Head and Neck Cancer Using Multimodal Data M Kazmierski University of Toronto (Canada), 2021 | 2 | 2021 |
| Radiomic response evaluation of recurrent or metastatic head and neck squamous cell cancer (R/M HNSCC) patients receiving pembrolizumab on KEYNOTE-012 study. K Taylor, M Kazmierski, A Billfalk-Kelly, F Khodakarami, B Driscoll, ... Journal of Clinical Oncology 38 (15_suppl), 6545-6545, 2020 | 2 | 2020 |
| A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data B Haibe-Kains, M Kazmierski, M Welch, S Kim, C McIntosh, ... | 1 | 2021 |
| A hybrid algorithm for dental artifact detection in large computed tomography datasets C Arrowsmith, R Reiazi, ML Welch, M Kazmierski, T Patel, A Rezaie, ... medRxiv, 2020.08. 06.20169516, 2020 | 1 | 2020 |
| [OA047] Robust radiomic feature selection in magnetic resonance apparent diffusion coefficient maps of rectal cancer L Wee, A Traverso, M Kazmierski, P Kalendralis, HD Nissen, A Dekker Physica Medica: European Journal of Medical Physics 52, 20, 2018 | 1 | 2018 |
| RADCURE: An open‐source head and neck cancer CT dataset for clinical radiation therapy insights ML Welch, S Kim, AJ Hope, SH Huang, Z Lu, J Marsilla, M Kazmierski, ... Medical Physics, 2024 | | 2024 |
| The Auto-Lindberg Project: Standardized Target Nomenclature in Radiation Oncology Enables Real-World Data Extraction From Radiation Treatment Plans A Hope, JW Kim, M Kazmierski, M Welch, J Marsilla, SH Huang, A Hosni, ... International Journal of Radiation Oncology* Biology* Physics 118 (1), 268-274, 2024 | | 2024 |
| Effect of Radiation Therapy Quality Assurance on Nasopharyngeal Carcinoma: Usage of a Novel, Web-Based Quality Assurance Application JW Kim, J Marsilla, M Kazmierski, D Tkachuk, SH Huang, W Xu, J Cho, ... Practical Radiation Oncology 13 (4), e354-e364, 2023 | | 2023 |
| 16: Radcure: A Large Open Source Head and Neck Radiation Therapy Dataset for Data Science A Hope, M Welch, S Bratman, J Waldron, B O’sullivan, T Patel, ... Radiotherapy and Oncology 174, S10, 2022 | | 2022 |
| Curation of a Large Public Head and Neck Dataset for Machine Learning (RADCURE) Using An Automated Data Mining Platform M Welch, T Patel, M Kazmierski, J Marsilla, S Huang, S Kim, ... MEDICAL PHYSICS 49 (6), E231-E231, 2022 | | 2022 |
Mattea L. WelchUniversity of TorontoVerified email at rmp.uhn.ca
