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Simon Graham

I'm a current PhD student within the Mathematics for Real-World Systems CDT. Currently, I am working within the Tissue Image Analytics (TIA) Lab, where I am developing deep learning algorithms to gain insight from histopathology images.

Previous Education

  • BSc- Mathematics with Sports Science at Loughborough University - 2011- 2014.
  • MSc- Mathematics for Real-World Systems at University of Warwick - 2015-2016

MSc Projects

  • "Optimising Immunotherapy for Cancer Treatment using a Cellular Automaton Model". Simon Graham, Maxim Smilovitsky, Luke Whincop, Hugo van den Berg, David Rand. Collaboration with the International Agency for Research on Cancer (IARC).
  • "Segmentation of Breast Tumour Regions in Whole Slide Histology Images using Deep Learning". Simon Graham, Richard Savage, Nasir Rajpoot.

PhD Publications

  • "MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images". Simon Graham, Hao Chen, Qi Dou, Pheng Ann-Heng, Nasir Rajpoot. Medical Imaging with Deep Learning, 2018. [CIFAR Travel Award].
  • "Classification of Lung Cancer Histology Images using Patch-Level Summary Statistics". Simon Graham, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, and Nasir Rajpoot. SPIE Medical Imaging Conference, 2018.
    "SAMS-Net: Stain-Aware Multi-Scale Network for Instance-Based Nuclei Segmentation in Histology Images". Simon Graham, Nasir Rajpoot. International Symposium on Biomedical Imaging, 2018.
  • "MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images". Simon Graham, Hao Chen, Qi Dou, Pheng Ann-Heng, Nasir Rajpoot. Under Review at Medical Image Analysis.
  • "Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection". Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkila and Nasir Rajpoot. Computational Pathology Workshop, Medical Image Computing & Computer Assisted Intervention Conference, 2018.
  • "Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images". Muhammad Moazam Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram and Nasir Rajpoot. Computational Pathology Workshop, Medical Image Computing & Computer Assisted Intervention Conference, 2018.
  • "Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection". Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir Rajpoot and Pheng-Ann Heng. Under Review at Transactions on Medical Imaging.

Research Interests

  • Machine learning
  • Deep learning
  • Medical Imaging

Teaching

  • Machine Learning
  • Database Systems

Conferences and Events

  • SPIE Medical Imaging Conference 2018, Houston, USA (Poster Presentation)
  • International Symposium on Biomedical Imaging 2018, Washington DC, USA (Oral Presentation)
  • Medical Imaging with Deep Learning Conference 2018, Amsterdam, The Netherlands (Oral Presentation)
  • European Congress on Digital Pathology 2018, Helsinki, Finland (Poster Presentation)
  • Mathematics for Real World Systems Annual Retreat 2018 (Oral Presentation)
  • Warwick Postgraduate Colloquium in Computer Science 2018 (Poster Presentation)
  • Medical Image Computing & Computer Assisted Intervention Conference 2018, Granada, Spain (Oral Presentation)
  • Medical Image Computing & Computer Assisted Intervention Conference 2017, Quebec City, Canada (Oral Presentation)
  • Warwick Postgraduate Colloquium in Computer Science 2017 (Oral Presentation)
  • Medical Image Computing & Computer Assisted Intervention Conference 2016, Athens, Greece (Oral presentation)
  • Mathematics for Real World Systems Annual Retreat 2016 (Poster Presentation)

Other

  • The Alan Turing Institute Data Study Group, September 2017. Nuclear segmentation in electron microscopy images.
  • Next Generation Computational Modelling Summer Academy, University of Southampton, June 2016

Organising Experience

Contact Details

s.graham.1@warwick.ac.uk

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