| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 419 | 2020 |
| Vulnerabilities of radiomic signature development: the need for safeguards ML Welch, C McIntosh, B Haibe-Kains, MF Milosevic, L Wee, A Dekker, ... Radiotherapy and Oncology 130, 2-9, 2019 | 307 | 2019 |
| Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method C McIntosh, M Welch, A McNiven, DA Jaffray, TG Purdie Physics in Medicine & Biology 62 (15), 5926, 2017 | 220 | 2017 |
| Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer C McIntosh, L Conroy, MC Tjong, T Craig, A Bayley, C Catton, ... Nature medicine 27 (6), 999-1005, 2021 | 158 | 2021 |
| Method and system for automated quality assurance and automated treatment planning in radiation therapy TG Purdie, CJ McIntosh, I Svistoun US Patent 10,475,537, 2019 | 105 | 2019 |
| Contextual atlas regression forests: multiple-atlas-based automated dose prediction in radiation therapy C McIntosh, TG Purdie IEEE transactions on medical imaging 35 (4), 1000-1012, 2015 | 97 | 2015 |
| Voxel-based dose prediction with multi-patient atlas selection for automated radiotherapy treatment planning C McIntosh, TG Purdie Physics in Medicine & Biology 62 (2), 415, 2016 | 96 | 2016 |
| 3D live-wire-based semi-automatic segmentation of medical images G Hamarneh, J Yang, C McIntosh, M Langille Proceedings of SPIE Medical Imaging: Image Processing 5747, 1597-1603, 2005 | 92 | 2005 |
| Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning C McIntosh, I Svistoun, TG Purdie IEEE transactions on medical imaging 32 (6), 1043-1057, 2013 | 74 | 2013 |
| Vessel crawlers: 3d physically-based deformable organisms for vasculature segmentation and analysis C McIntosh, G Hamarneh Computer Vision and Pattern Recognition, 2006 IEEE Computer Society …, 2006 | 74 | 2006 |
| Spinal crawlers: Deformable organisms for spinal cord segmentation and analysis C McIntosh, G Hamarneh Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006, 808-815, 2006 | 57 | 2006 |
| Medial-based deformable models in nonconvex shape-spaces for medical image segmentation C McIntosh, G Hamarneh IEEE transactions on medical imaging 31 (1), 33-50, 2011 | 56 | 2011 |
| Is a single energy functional sufficient? Adaptive energy functionals and automatic initialization C McIntosh, G Hamarneh Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007, 503-510, 2007 | 42 | 2007 |
| Convex Multi-Region Probabilistic Segmentation with Shape Prior in the Isometric Log-Ratio Transformation Space S Andrews, C McIntosh, G Hamarneh | 41 | 2011 |
| Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects using Crawlers and Minimal Paths C McIntosh, G Hamarneh, M Toom, RC Tam Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE …, 2011 | 30 | 2011 |
| Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction G Hamarneh, C McIntosh, M Drew Medical Imaging, IEEE Transactions on, 1-1, 2011 | 30 | 2011 |
| Genetic algorithm driven statistically deformed models for medical image segmentation C McIntosh, G Hamarneh Genetic and Evolutionary Computation Conference, GECCO, 8-12, 2006 | 30 | 2006 |
| Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies D Gustafson, M Ngai, R Wu, H Hou, AC Schoffel, C Erice, S Mandla, ... EBioMedicine 78, 2022 | 27 | 2022 |
| Mass spectrometry imaging reveals a gradient of cancer-like metabolic states in the vicinity of cancer not seen in morphometric margins from microscopy M Woolman, L Katz, G Gopinath, T Kiyota, CM Kuzan-Fischer, I Ferry, ... Analytical chemistry 93 (10), 4408-4416, 2021 | 27 | 2021 |
| 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 | 25 | 2023 |
Thomas G PurdieMedical Physicist, Princess Margaret Cancer Centre | University of TorontoVerified email at uhn.ca