| 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 | 243 | 2017 |
| Deep Features to Classify Skin Lesions J Kawahara, A BenTaieb, G Hamarneh International Symposium on Biomedical Imaging, 1397 - 1400, 2016 | 223 | 2016 |
| 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 | 122 | 2016 |
| 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 | 113 | 2019 |
| 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 | 43* | 2019 |
| 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 | 35 | 2018 |
| Melanoma Recognition via Visual Attention Y Yan, J Kawahara, G Hamarneh International Conference on Information Processing in Medical Imaging, 793-804, 2019 | 30 | 2019 |
| 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 | 30 | 2016 |
| 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 | 27 | 2017 |
| 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 | 21 | 2018 |
| 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 | 21 | 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 | 15 | 2014 |
| 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 | 14 | 2018 |
| 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 | 10 | 2013 |
| Visual Diagnosis of Dermatological Disorders: Human and Machine Performance J Kawahara, G Hamarneh arXiv preprint arXiv:1906.01256, 2019 | 6 | 2019 |
| 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 | 6 | 2014 |
| 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 | 4 | 2017 |
| 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 | 3 | 2014 |
| Image content-based navigation of skin conditions J Kawahara, G Hamarneh World Congress of Dermatology, 2015 | 2 | 2015 |
| Predicting the clinical management of skin lesions using deep learning K Abhishek, J Kawahara, G Hamarneh Scientific Reports 11 (1), 1-14, 2021 | 1 | 2021 |
Ghassan HamarnehComputing Science, Simon Fraser UniversityVerified email at sfu.ca
