| Robust and accurate shape model fitting using random forest regression voting TF Cootes, MC Ionita, C Lindner, P Sauer European Conference on Computer Vision, 278-291, 2012 | 411 | 2012 |
| A benchmark for comparison of dental radiography analysis algorithms CW Wang, CT Huang, JH Lee, CH Li, SW Chang, MJ Siao, TM Lai, ... Medical Image Analysis 31, 63-76, 2016 | 331 | 2016 |
| Robust and Accurate Shape Model Matching using Random Forest Regression-Voting C Lindner, P Bromiley, M Ionita, T Cootes IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (9), 1862-1874, 2015 | 285 | 2015 |
| Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting C Lindner, S Thiagarajah, J Wilkinson, C arcOGEN, G Wallis, T Cootes IEEE Transactions on Medical Imaging 32 (8), 1462-1472, 2013 | 226 | 2013 |
| Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms C Lindner, CW Wang, CT Huang, CH Li, SW Chang, TF Cootes Scientific Reports 6 (33581), 2016 | 182 | 2016 |
| Einführung in Computational Social Choice: Individuelle Strategien und kollektive Entscheidungen beim Spielen, Wählen und Teilen J Rothe, D Baumeister, C Lindner, I Rothe Springer-Verlag, 2012 | 179* | 2012 |
| Fully automatic cephalometric evaluation using Random Forest regression-voting C Lindner, TF Cootes IEEE International Symposium on Biomedical Imaging (ISBI) 2015 – Grand …, 2015 | 77 | 2015 |
| Accurate Fully Automatic Femur Segmentation in Pelvic Radiographs Using Regression Voting C Lindner, S Thiagarajah, J Wilkinson, C arcOGEN, G Wallis, T Cootes Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 353-360, 2012 | 46 | 2012 |
| Accurate Bone Segmentation in 2D Radiographs Using Fully Automatic Shape Model Matching Based On Regression-Voting C Lindner, S Thiagarajah, J Wilkinson, C arcOGEN, G Wallis, T Cootes Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, 181-189, 2013 | 38 | 2013 |
| Investigation of association between hip osteoarthritis susceptibility loci and radiographic proximal femur shape C Lindner, S Thiagarajah, JM Wilkinson, K Panoutsopoulou, ... Arthritis & Rheumatology, 2015 | 37 | 2015 |
| Development of a fully automatic shape model matching (FASMM) system to derive statistical shape models from radiographs: Application to the accurate capture and global … C Lindner, S Thiagarajah, J Wilkinson, C arcOGEN, G Wallis, T Cootes Osteoarthritis and Cartilage, 2013 | 36 | 2013 |
| Statistical shape modeling of the hip and the association with hip osteoarthritis: a systematic review MMA van Buuren, NK Arden, SMA Bierma-Zeinstra, WM Bramer, ... Osteoarthritis and Cartilage 29 (5), 607-618, 2021 | 32 | 2021 |
| Cake-cutting: Fair division of divisible goods C Lindner, J Rothe Economics and computation: An introduction to algorithmic game theory …, 2016 | 28 | 2016 |
| Fixed-Parameter Tractability and Parameterized Complexity Applied to Problems From Computational Social Choice C Lindner, J Rothe Supplement In Mathematical Programming Glossary (A. Holder, Ed) INFORMS …, 2008 | 28 | 2008 |
| Image processing apparatus and method for fitting a deformable shape model to an image using random forest regression voting T Cootes, C Lindner, M Ionita US Patent 9,928,443, 2018 | 23 | 2018 |
| A novel semi-automated classifier of hip osteoarthritis on DXA images shows expected relationships with clinical outcomes in UK Biobank BG Faber, R Ebsim, FR Saunders, M Frysz, C Lindner, JS Gregory, ... Rheumatology 61 (9), 3586-3595, 2022 | 20 | 2022 |
| Osteophyte size and location on hip DXA scans are associated with hip pain: findings from a cross sectional study in UK Biobank BG Faber, R Ebsim, FR Saunders, M Frysz, C Lindner, JS Gregory, ... Bone 153, 116146, 2021 | 20 | 2021 |
| An automated workflow based on hip shape improves personalized risk prediction for hip osteoarthritis in the CHECK study WP Gielis, H Weinans, PMJ Welsing, WE van Spil, R Agricola, TF Cootes, ... Osteoarthritis and cartilage 28 (1), 62-70, 2020 | 18 | 2020 |
| Predicting the mechanical hip–knee–ankle angle accurately from standard knee radiographs: a cross-validation experiment in 100 patients WP Gielis, H Rayegan, V Arbabi, SY Ahmadi Brooghani, C Lindner, ... Acta orthopaedica 91 (6), 732-737, 2020 | 17 | 2020 |
| Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting AK Davison, C Lindner, DC Perry, W Luo, MSA Collaborative, TF Cootes 6th MICCAI Workshop on Computational Methods and Clinical Applications in …, 2018 | 17 | 2018 |
Tim CootesProfessor of Computer Vision, Imaging Sciences/Computer Science/BII, The University of ManchesterGeverifieerd e-mailadres voor manchester.ac.uk
