A survey on shape correspondence O Van Kaick, H Zhang, G Hamarneh, D Cohen‐Or Computer graphics forum 30 (6), 1681-1707, 2011 | 833 | 2011 |
Deep semantic segmentation of natural and medical images: a review S Asgari Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh Artificial Intelligence Review 54, 137-178, 2021 | 707 | 2021 |
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 | 604 | 2017 |
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, 2018 | 417 | 2018 |
Deep features to classify skin lesions J Kawahara, A BenTaieb, G Hamarneh 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1397-1400, 2016 | 369 | 2016 |
Combo loss: Handling input and output imbalance in multi-organ segmentation SA Taghanaki, Y Zheng, SK Zhou, B Georgescu, P Sharma, D Xu, ... Computerized Medical Imaging and Graphics 75, 24-33, 2019 | 350 | 2019 |
A review of super-resolution single-molecule localization microscopy cluster analysis and quantification methods IM Khater, IR Nabi, G Hamarneh Patterns 1 (3), 2020 | 222 | 2020 |
Adversarial stain transfer for histopathology image analysis A BenTaieb, G Hamarneh IEEE transactions on medical imaging 37 (3), 792-802, 2017 | 216 | 2017 |
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 | 204 | 2016 |
Watershed segmentation using prior shape and appearance knowledge G Hamarneh, X Li Image and Vision Computing 27 (1-2), 59-68, 2009 | 202 | 2009 |
Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach A Yazdanpanah, G Hamarneh, BR Smith, MV Sarunic IEEE transactions on medical imaging 30 (2), 484-496, 2010 | 199 | 2010 |
n-SIFT: n-Dimensional Scale Invariant Feature Transform W Cheung, G Hamarneh Image Processing, IEEE Transactions on 18 (9), 2012-2021, 2009 | 197 | 2009 |
Active learning for interactive 3D image segmentation A Top, G Hamarneh, R Abugharbieh Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 187 | 2011 |
Topology aware fully convolutional networks for histology gland segmentation A BenTaieb, G Hamarneh International conference on medical image computing and computer-assisted …, 2016 | 185 | 2016 |
N-sift: N-dimensional scale invariant feature transform for matching medical images W Cheung, G Hamarneh 2007 4th IEEE international symposium on biomedical imaging: from nano to …, 2007 | 178 | 2007 |
Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge CW Wang, CT Huang, MC Hsieh, CH Li, SW Chang, WC Li, R Vandaele, ... IEEE transactions on medical imaging 34 (9), 1890-1900, 2015 | 176 | 2015 |
VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis G Hamarneh, P Jassi Computerized medical imaging and graphics 34 (8), 605-616, 2010 | 172 | 2010 |
Missing MRI pulse sequence synthesis using multi-modal generative adversarial network A Sharma, G Hamarneh IEEE transactions on medical imaging 39 (4), 1170-1183, 2019 | 170 | 2019 |
Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells Z Lu, G Carneiro, A Bradley, D Ushizima, MS Nosrati, A Bianchi, ... IEEE Journal of Biomedical and Health Informatics, 2016 | 162 | 2016 |
Star shape prior in fully convolutional networks for skin lesion segmentation Z Mirikharaji, G Hamarneh Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 140 | 2018 |