Yeman Brhane Hagos

Vita

From November 2018
PhD Student
Division of Molecular Pathology & Centre for Evolution and Cancer
The Institute of Cancer Research
London, UK

2016 - 2018
MSc, Medical Imaging and Application
University of Burgundy (France), University of Cassino and Southern Lazio (Italy) and University of Girona (Spain)

2009 - 2014
BSc, Electronics and Communication Engineering
Mekelle Institute of Technology, Mekelle University, Ethiopia

Reasearch focus

Developing deep learning methodology that combines diagnostic pathology with next-generation sequencing, which enables simultaneous spatial mapping of morphological and molecular tumour heterogeneity and microenvironmental characteristics.

PhD Student

Yeman Brhane Hagos
Division of Molecular Pathology & Centre for Evolution and Cancer 15 Cotswold Road
Sutton
London
SM2 5NG
email: yeman.hagos@icr.ac.uk

Publications

Journal papers

  1. Hagos, Y. B., Minh, V., Khawaldeh, S., Pervaiz, U., & Aleef, T. (2018). Fast PET scan tumor segmentation using superpixels, principal component analysis and K-Means clustering. Methods and Protocols, 1(1), 7.
  2. Aleef, TA, Hagos, Y. B., Minh, VH, Khawaldeh, S., & Pervaiz, U. (2017). Design and simulation-based performance evaluation of a miniaturized implantable antenna for biomedical applications. Micro & Nano Letters , 12 (10), 821-826.
  3. Khawaldeh, S., Aleef, T. A., Pervaiz, U., Minh, V. H., & Hagos, Y. B. (2017). Complete End-To-End Low Cost Solution to a 3D Scanning System with Integrated Turntable. arXiv preprint arXiv:1709.02247.
  4. Pervaiz, U., Khawaldeh, S., Aleef, T. A., Minh, V. H., & Hagos, Y. B.. (2018). Activity monitoring and meal tracking for cardiac rehabilitation patients. International Journal of Medical Engineering and Informatics, 10(3), 252-264.

Conference papers

  1. Hagos, Y. B., Mérida, A. G., & Teuwen, J. (2018). Improving breast cancer detection using symmetry information with deep learning. In Image Analysis for Moving Organ, Breast, and Thoracic Images (pp. 90-97). Springer, Cham.
  2. Hagos Y. B., Narayanan P, Akarca AU, Marafioti T, Yuan Y. "ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images." Medical Image Computing and Computer Assisted Interventions (2019)

Awards and Scholarships

Teaching Experience