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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

Journals

  • "HoVer Network for Simultaneous Nuclear Segmentation and Classification in Multi-Tissue Histology Images". S. Graham, Q.D. Vu, S.E.A. Raza, A. Azam, Y.W. Tsang, J.T. Kwak, N.M Rajpoot. Medical Image Analysis.
  • "MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images". S. Graham, H. Chen, Q. Dou, P.A. Heng, N.M. Rajpoot. Medical Image Analysis.
  • "Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection". H. Lin, H. Chen, S. Graham, Q. Dou, N.M. Rajpoot and P.A Heng. IEEE Transactions on Medical Imaging.
  • "Micro-Net: A unified model for segmentation of various objects in microscopy images". S.E.A. Raza, L. Cheung, M. Shaban, S. Graham, D. Epstein, S. Pelengaris, M. Khan, N.M. Rajpoot. Medical Image Analysis.
  • "Predicting breast tumor proliferation from whole-slide images:The TUPAC16 challenge". Veta et. al. Medical Image Analysis.
  • "Methods for Segmentation and Classification of Digital Microscopy Tissue Images". Q.D. Vu, S. Graham, M.N.N. To, M. Shaban, T. Qaiser, N.A. Koohbanani, S.A Khurram, T. Kurc, K. Farahani, T. Zhao, R. Gupta, J.T. Kwak, N. Rajpoot, J. Saltz. Frontiers in Biotechnology and Bioengineering.
  • “FABnet: Feature attention based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer”. M.M. Fraz, S.A. Khurram, S. Graham, M. Shaban, M. Hassan, A. Loya, N.M. Rajpoot. Neural Computing and Applications.

Conferences

  • "Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology Images". S. Graham, D. Epstein, N. Rajpoot. The European Congress on Digital Pathology, 2019.
  • "MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images". S. Graham, H. Chen, Q. Dou, P.A Heng, N.M Rajpoot. Medical Imaging with Deep Learning, 2018. [CIFAR Travel Award].
  • "Classification of Lung Cancer Histology Images using Patch-Level Summary Statistics". S. Graham, M. Shaban, T. Qaiser, N.A. Koohbanani, S.A. Khurram, and N.M. Rajpoot. SPIE Medical Imaging Conference, 2018.
  • "SAMS-Net: Stain-Aware Multi-Scale Network for Instance-Based Nuclei Segmentation in Histology Images". S. Graham, N.M. Rajpoot. IEEE International Symposium on Biomedical Imaging, 2018.
  • "Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection". S.U. Akram, T. Qaiser, S. Graham, J. Kannala, J. Heikkila and N.M. Rajpoot. Computational Pathology Workshop, Medical Image Computing & Computer Assisted Intervention Conference, 2018.
  • "Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images". M.M. Fraz, M. Shaban, S. Graham, S.A. Khurram and N.M. Rajpoot. Computational Pathology Workshop, Medical Image Computing & Computer Assisted Intervention Conference, 2018.
  • "CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images". Y. Zhou, S. Graham, N.A. Koohbanani, M. Shaban, P.A. Heng and N.M. Rajpoot. VRMI Workshop, ICCV, 2019.

Research Interests

  • Machine learning
  • Deep learning
  • Medical Imaging

Teaching

  • Image and Video Analysis (2019/20)
  • Machine Learning (2018/19)
  • Data Mining (2018/19)
  • Database Systems (2017/18)

Conferences and Events

  • European Congress on Digital Pathology 2019, University of Warwick, UK (Oral Presentation)
  • 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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