Követés
Jeremy Kawahara
Jeremy Kawahara
E-mail megerősítve itt: sfu.ca - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
6172017
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
4222019
Deep Features to Classify Skin Lesions
J Kawahara, A BenTaieb, G Hamarneh
International Symposium on Biomedical Imaging, 1397 - 1400, 2016
3752016
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
2072016
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
79*2019
Melanoma recognition via visual attention
Y Yan, J Kawahara, G Hamarneh
Information Processing in Medical Imaging: 26th International Conference …, 2019
742019
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
632018
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
442018
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
442016
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
432017
Predicting the clinical management of skin lesions using deep learning
K Abhishek, J Kawahara, G Hamarneh
Scientific reports 11 (1), 7769, 2021
312021
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
252018
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
232013
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
172014
Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes
M Zhao, J Kawahara, K Abhishek, S Shamanian, G Hamarneh
Medical Image Analysis 77, 102329, 2022
13*2022
Augmenting auto-context with global geometric features for spinal cord segmentation
J Kawahara, C McIntosh, R Tam, G Hamarneh
Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013 …, 2013
112013
System to collect and identify skin conditions from images and expert knowledge
A Abid, AJ Sanfiz, AR Lopez, ET Jarmain, M Akrout, A Challa, ...
US Patent 10,878,567, 2020
82020
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
J Kawahara, G Hamarneh
arXiv preprint arXiv:1906.01256, 2019
72019
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
52017
Automatic labelling of tumourous frames in free-hand laparoscopic ultrasound video
J Kawahara, JM Peyrat, J Abinahed, O Al-Alao, A Al-Ansari, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
52014
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