Jeremy Kawahara
Jeremy Kawahara
Verified email at sfu.ca - Homepage
TitleCited byYear
Deep Features to Classify Skin Lesions
J Kawahara, A BenTaieb, G Hamarneh
International Symposium on Biomedical Imaging, 1397 - 1400, 2016
652016
BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment
J Kawahara, CJ Brown, SP Miller, BG Booth, V Chau, RE Grunau, ...
NeuroImage 146, 1038-1049, 2017
542017
Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
J Kawahara, G Hamarneh
International Workshop on Machine Learning in Medical Imaging, 164-171, 2016
262016
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
162013
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
92014
Fully Convolutional Networks to Detect Clinical Dermoscopic Features
J Kawahara, G Hamarneh
arXiv preprint arXiv:1703.04559, 2017
82017
Multi-loss convolutional networks for gland analysis in microscopy
A BenTaieb, J Kawahara, G Hamarneh
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, 642-645, 2016
82016
7-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Nets
J Kawahara, S Daneshvar, G Argenziano, G Hamarneh
IEEE Journal of Biomedical and Health Informatics, 2018
52018
Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification
SA Taghanaki, J Kawahara, B Miles, G Hamarneh
Computer methods and programs in biomedicine 145, 85-93, 2017
52017
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
52013
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features
J Kawahara, G Hamarneh
IEEE Journal of Biomedical and Health Informatics, 2018
42018
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
32014
Generative adversarial networks to segment skin lesions
S Izadi, Z Mirikharaji, J Kawahara, G Hamarneh
Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018
22018
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
22014
Connectome priors in deep neural networks to predict autism
CJ Brown, J Kawahara, G Hamarneh
Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018
12018
Deep auto-context fully convolutional neural network for skin lesion segmentation
Z Mirikharaji, S Izadi, J Kawahara, G Hamarneh
Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018
12018
Graph Geodesics to Find Progressively Similar Skin Lesion Images
J Kawahara, KP Moriarty, G Hamarneh
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging …, 2017
12017
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
12013
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Articles 1–18