Last updated on September 20th, 2016

Title1–7Cited byYear
Globally optimal spinal cord segmentation using a minimal path in high dimensions

J Kawahara, C McIntosh, R Tam, G Hamarneh
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, 848-851, 2013
Towards multi-modal image-guided tumour identification in robot-assisted partial nephrectomy

G Hamarneh, A Amir-Khalili, MS Nosrati, I Figueroa, J Kawahara, …
Biomedical Engineering (MECBME), 2014 Middle East Conference on, 159-162, 2014
Augmenting auto-context with global geometric features for spinal cord segmentation

J Kawahara, C McIntosh, R Tam, G Hamarneh
International Workshop on Machine Learning in Medical Imaging, 211-218, 2013
Novel morphological and appearance features for predicting physical disability from MR images in multiple sclerosis patients

J Kawahara, C McIntosh, R Tam, G Hamarneh
Computational Methods and Clinical Applications for Spine Imaging, 61-73, 2014
Deep Features to Classify Skin Lesions

J Kawahara, A BenTaieb, G Hamarneh
International Symposium on Biomedical Imaging, 1397 – 1400, 2016
Automatic Labelling of Tumourous Frames in Free-Hand Laparoscopic Ultrasound Video

J Kawahara, JM Peyrat, J Abinahed, O Al-Alao, A Al-Ansari, …
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Spinal cord segmentation and disability prediction in multiple sclerosis using novel optimization and machine learning methods

JG Kawahara
Applied Sciences: School of Computing Science, 2013

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