• Machine/deep learning
  • Computer vision
  • Medical image analysis


Journal Papers

  • Kanavati, F., Toyokawa, G., Momosaki, S., Rambeau, M., Kozuma, Y., Shoji, F., Yamazaki, K., Takeo, S., Iizuka, O. and Tsuneki, M., 2020. Weakly-supervised learning for lung carcinoma classification using deep learning. Scientific Reports, 10(1), pp.1-11.
  • Iizuka, O.*, Kanavati, F.*, Kato, K.*, Rambeau, M., Arihiro, K., & Tsuneki, M. (2020). Deep Learning Models for Histopathological Classification of Gastric and colonic epithelial tumours. Scientific Reports, 10(1), 1-11.
  • Kanavati, F., Misawa, K., Fujiwara, M., Mori, K., Rueckert, D., & Glocker, B., Supervoxel classification forests for estimating pairwise image correspondences, Pattern Recognition, Available online 22 September 2016, ISSN 0031-3203


  • Kanavati, F., Islam, S., Arain, Z., Aboagye, E.O. and Rockall, A., 2020. Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. arXiv preprint arXiv:2006.06432.
  • Kanavati, F., Islam, S., Aboagye, E.O. and Rockall, A., 2018. "Automatic L3 slice detection in 3D CT images using fully-convolutional networks." arXiv preprint arXiv:1811.09244(2018).

Workshop Papers

Previous Projects

  • MSc Project: Motion Stabilisation for Dynamic Medical Image Sequences (PDF).