Chris McIntosh

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	Toate	Din 2020
Referințe bibliografice	2411	1688
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i10-index	35	19

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Thomas G PurdieMedical Physicist, Princess Margaret Cancer Centre | University of TorontoAdresă de e-mail confirmată pe uhn.ca
Ghassan HamarnehComputing Science, Simon Fraser UniversityAdresă de e-mail confirmată pe sfu.ca
Mattea L. WelchUniversity of TorontoAdresă de e-mail confirmată pe rmp.uhn.ca
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkAdresă de e-mail confirmată pe uhnresearch.ca
David JaffrayUniversity of Texas MD Anderson Cancer CenterAdresă de e-mail confirmată pe mdanderson.org
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Adresă de e-mail confirmată pe maastro.nl
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUAdresă de e-mail confirmată pe dfci.harvard.edu
Leigh ConroyMedical Physicist, Princess Margaret Cancer CentreAdresă de e-mail confirmată pe rmp.uhn.ca
Alejandro BerlinClinician-Scientist, Radiation Oncology, Princess Margaret Cancer Centre, University of TorontoAdresă de e-mail confirmată pe uhn.ca
Roger C TamAssociate Professor, School of Biomedical Engineering, University of British ColumbiaAdresă de e-mail confirmată pe ubc.ca
Jeremy KawaharaSimon Fraser UniversityAdresă de e-mail confirmată pe sfu.ca
Mark S. DrewSimon Fraser UniversityAdresă de e-mail confirmată pe cs.sfu.ca
Shawn AndrewsPhD Computing Science, Simon Fraser UniversityAdresă de e-mail confirmată pe sfu.ca
Greg MoriResearch Director, Borealis AI; Professor, School of Computing Science, Simon Fraser UniversityAdresă de e-mail confirmată pe cs.sfu.ca
Demetri TerzopoulosDistinguished Professor & Chancellor's Professor of Computer Science, UCLAAdresă de e-mail confirmată pe cs.ucla.edu
Tim McInerneyProfessor of Computer Science, Toronto Metropolitan UniversityAdresă de e-mail confirmată pe torontomu.ca

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Chris McIntosh

Scientist, UHN; Assistant Professor, U of Toronto

Adresă de e-mail confirmată pe uhn.ca - Pagina de pornire

Medical Image Analysis Machine Learning Optimization


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020	424	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	313	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	224	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	162	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	118	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	98	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	97	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	73	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	43	2007
Convex Multi-Region Probabilistic Segmentation with Shape Prior in the Isometric Log-Ratio Transformation Space S Andrews, C McIntosh, G Hamarneh	41	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	31	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
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	29	2011
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	28	2023
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

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