Prof Timothy Cootes

Research Fellow

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ORCID: 0000-0002-2695-9063
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Publications

1 - 10 out of 221Page size: 10
  1. 2019
  2. Accepted/In press

    A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images

    Alfahaid, A., Morris, T., Cootes, T., Keane, P. A., Khalid, H., Pontikos, N., Sergouniotis, P. & Balaskas, K., 16 Apr 2019, (Accepted/In press) Communications in Computer and Information Science (CCIS). 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  3. Published

    CHANGES IN BONE SHAPE ARE BOTH A RISK FACTOR FOR AND A RESULT OF HIP OSTEOARTHRITIS, A FOLLOW-UP STUDY IN THE CHECK COHORT

    Gielis, W., Rayegan, H., Lindner, C., Davison, A. K., Arbabi, V., Cootes, T. F., de Jong, P. A. & Weinans, H., Apr 2019, In : Osteoarthritis and Cartilage. 27, p. S320-S321

    Research output: Contribution to journal › Meeting Abstract

  4. Published

    Fully automatic teeth segmentation in adult OPG images

    Blanco, N. V., Cootes, T. F., Lindner, C., Carmona, I. T. & Carreira, M. J., 1 Jan 2019, Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Zheng, G., Vrtovec, T., Yao, J. & Pozo, J. M. (eds.). Springer Nature, p. 11-21 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11404 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    DOI: 10.1007/978-3-030-11166-3_2
  5. Published

    An automated workflow based on hip shape improves personalized risk prediction for hip osteoarthritis in the CHECK study.

    Gielis, W. P., Weinans, H. H., Welsing, P. M. J., van Spil, W. E., Agricola, R., Cootes, T., de Jong, P. A. & Lindner, C., 2019, In : Osteoarthritis and cartilage / OARS, Osteoarthritis Research Society.

    Research output: Contribution to journal › Article

    DOI: 10.1016/j.joca.2019.09.005
  6. Accepted/In press

    Automated estimation of the mechanical Hip-Knee-Ankle angle using standard knee radiographs

    Gielis, W. P., Rayegan, H., Arbabi, V., Ahmadi Brooghani, S. Y., Lindner, C., Cootes, T., de Jong, P. A., Weinans, H. H. & Custers, R., 2019, (Accepted/In press).

    Research output: Contribution to conference › Poster

  7. Published

    Automated scoring of aortic calcification in vertebral fracture assessment images

    Chaplin, L. & Cootes, T., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 1095038. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    DOI: 10.1117/12.2512879
  8. Published

    Automatic detection of wrist fractures from posteroanterior and lateral radiographs: A deep learning-based approach

    Ebsim, R., Naqvi, J. & Cootes, T. F., 2019, Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Zheng, G., Vrtovec, T., Yao, J. & Pozo, J. M. (eds.). Springer Nature, p. 114-125 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11404 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    DOI: 10.1007/978-3-030-11166-3_10
  9. Published

    Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures using Multiple, Independent Sub-models

    Bromiley, P., Kariki, E. & Cootes, T., 2019, Computational Methods and Clinical Applications for Spine Imaging: The Fifth MICCAI CSI Workshop & Challenge,.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    DOI: 10.1007/978-3-030-13736-6_5
  10. Published

    Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting

    Medical Student Annotation Collaborative, 2019, Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers. Zheng, G., Vrtovec, T., Yao, J. & Pozo, J. M. (eds.). Springer Nature, Vol. 11404 LNCS. p. 73-85 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11404 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    DOI: 10.1007/978-3-030-11166-3_7
  11. Published

    Measurement of synovial tissue volume in knee osteoarthritis using a semiautomated MRI-based quantitative approach.

    Perry, T., Gait, A., O'Neill, T., Parkes, M., Hodgson, R., Callaghan, M. J., Arden, N. K., Felson, D. & Cootes, T., 2019, In : Magn Reson Med. 81, 5, p. 3056-3064

    Research output: Contribution to journal › Article

    DOI: 10.1002/mrm.27633
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Research Explorer downloads

1740
New software to automatically outline bones in OPG

Research output: Contribution to conference › Paper

416
A benchmark for comparison of dental radiography analysis algorithms

Research output: Contribution to journal › Article

343
Using transmission electron microscopy and 3View to determine collagen fibril size and three-dimensional organization.

Research output: Contribution to journal › Article

128
Fully Automated Shape Analysis for Detection of Osteoarthritis from Lateral Knee Radiographs

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

102
Combination of Lateral and PA View Radiographs to Study Development of Knee OA and Associated Pain

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution