Interests

• Medical image analysis
• Image segmentation
• Machine learning

Publications

Journal Papers

• Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker, Supervoxel classification forests for estimating pairwise image correspondences, Pattern Recognition, Available online 22 September 2016, ISSN 0031-3203

Workshop Papers

• Kanavati, F., Misawa, K., Fujiwara, M., Mori, K., Rueckert, D., & Glocker, B. (2017, September). Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation. In International Workshop on Machine Learning in Medical Imaging (pp. 79-87).
• Kanavati, F., Tong, T., Misawa, K., Fujiwara, M., Mori, K., Rueckert, D., & Glocker, B. “Supervoxel Classification Forests for Estimating Pairwise Image Correspondences.” In Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings, pp. 94-101. Springer International Publishing, 2015.

Previous Projects

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