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
842016
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
782017
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
372016
Fully convolutional neural networks to detect clinical dermoscopic features
J Kawahara, G Hamarneh
IEEE Journal of Biomedical and Health Informatics 23 (2), 578-585, 2019
20*2019
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
172013
Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets
J Kawahara, S Daneshvar, G Argenziano, G Hamarneh
IEEE Journal of Biomedical and Health Informatics 23 (2), 538-546, 2019
122019
Multi-loss convolutional networks for gland analysis in microscopy
A BenTaieb, J Kawahara, G Hamarneh
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 642-645, 2016
122016
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
102017
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
102014
Generative adversarial networks to segment skin lesions
S Izadi, Z Mirikharaji, J Kawahara, G Hamarneh
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
92018
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
62013
Connectome priors in deep neural networks to predict autism
CJ Brown, J Kawahara, G Hamarneh
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 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
42014
Deep auto-context fully convolutional neural network for skin lesion segmentation
Z Mirikharaji, S Izadi, J Kawahara, G Hamarneh
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
32018
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
22017
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
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
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
J Kawahara, G Hamarneh
arXiv preprint arXiv:1906.01256, 2019
2019
Melanoma Recognition via Visual Attention
Y Yan, J Kawahara, G Hamarneh
International Conference on Information Processing in Medical Imaging, 793-804, 2019
2019
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Articles 1–19