51cg

Dr Tryphon Lambrou

Dr Tryphon Lambrou
Dr Tryphon Lambrou
Dr Tryphon Lambrou

Senior Lecturer

Accepting PhDs

51cg
Email Address
tryphon.lambrou@abdn.ac.uk
Office Address
MT 201 Meston Building
Old Aberdeen Campus
Meston Walk
AB24 3UE

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School/Department
School of Natural and Computing Sciences

Biography

Between June 2022 and January 2023, I was the Interim Vice-Dean for the Joint Institute of Data Sciences and Artificial Intelligence. 

I am a Senior Lecturer in Computing Science with the School of Natural and Computing Sciences; I joined the School in January 2022. Tryphon was a Senior Lecturer with the School of Computer Science, University of Lincoln; where he was Programme Leader for Computer Science undergraduate degrees as well as for the MSc in Intelligent Vision, and Lead for the PGR research degrees.

Tryphon is an Honorary Lecturer with the Department of Medical Physics & Bioengineering, University College London. He was a Senior Research Associate with the Centre of Medical Image Computing (CMIC) at UCL, and previously a Research Fellow with the Department of Medical Physics and Bioengineering, UCL, employed under the Interdisciplinary Research Consortium scheme - “From Medical Images and Signals to Clinical Information” funded jointly by EPSRC and MRC.

Memberships and Affiliations

Internal Memberships

Course Co-Ordinator

Programme Director

External Memberships

Member of the IEEE

Professional Member of the ACM

Full Member of the IPEM

 

External Examiner for the MSc in Artificial Intelligence and Data Science, University of Hull.

Research

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.

Please get in touch if you would like to discuss your research ideas further.

Computing Science

  • Accepting PhDs

Research Specialisms

  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • Diagnostic Imaging

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is , published under the licence.

Publications

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  • Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation

    Duangprom, K., Lambrou, T., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit

    Pokhrel, S., Bhandari, S., Ali, S., Lambrou, T., Nguyen, A., Shrestha, Y. R., Watson, A., Stoyanov, D., Gyawali, P., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision

    Pokhrel, S., Bhandari, S., Ali, S., Lambrou, T., Nguyen, A., Shrestha, Y. R., Watson, A., Stoyanov, D., Gyawali, P., Bhattarai, B.
    Working Papers: Preprint Papers
  • Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden

    Mckone, J. E., Lambrou, T., Ye, X., Brown, J. M.
    Frontiers in Computer Science, vol. 6, 1386514
    Contributions to Journals: Articles
  • Preface

    Waiter, G., Lambrou, T., Leontidis, G., Oren, N., Morris, T., Gordon, S.
    Chapters in Books, Reports and Conference Proceedings: Forewords and Postscripts
  • Grading of soft tissues sarcomas using radiomics models:: Choice of imaging methods and comparison with conventional visual analysis

    Chen, B., Steinberger, O., Fenioux, R., Duverger, Q., Lambrou, T., Dodin, G., Blum, A., Teixeira, P. A. G.
    Research in Diagnostic and Interventional Imaging, vol. 2, 100009
    Contributions to Journals: Articles
  • MDA-Unet: A Multi-Scale Dilated Attention U-Net for Medical Image Segmentation

    Amer, A., Lambrou, T., Ye, X.
    Applied Sciences, vol. 12, no. 7, 3676
    Contributions to Journals: Articles
  • Thermal Camera Based Physiological Monitoring with an Assistive Robot

    Cosar, S., Yan, Z., Zhao, F., Lambrou, T., Yue, S., Bellotto, N.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels

    Soltaninejad, M., Yang, G., Lambrou, T., Allinson, N., Jones, T., Barrick, T., Howe, F., Ye, X.
    Computer Methods and Programs in Biomedicine, vol. 157, pp. 69-84
    Contributions to Journals: Articles
  • MRI brain tumor segmentation and patient survival prediction using random forests and fully convolutional networks

    Soltaninejad, M., Zhang, L., Lambrou, T., Yang, G., Allinson, N., Ye, X.
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10670, pp. 204-215
    Contributions to Journals: Articles
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Chapters in Books, Reports and Conference Proceedings

Contributions to Journals

Working Papers