An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna Pattern Recognition 51, 12-26, 2016 | 72 | 2016 |
GLAND SEGMENTATION IN COLON HISTOLOGY IMAGES USING HAND-CRAFTED FEATURES AND CONVOLUTIONAL NEURAL NETWORKS W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna | 49 | 2016 |
HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna IEEE ICPR - 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 46 | 2014 |
Automatic normal-abnormal video frame classification for colonoscopy S Manivannan, R Wang, E Trucco, A Hood 2013 IEEE 10th International Symposium on Biomedical Imaging, 644-647, 2013 | 28 | 2013 |
Structure prediction for gland segmentation with hand-crafted and deep convolutional features S Manivannan, W Li, J Zhang, E Trucco, SJ McKenna IEEE transactions on medical imaging 37 (1), 210-221, 2017 | 27 | 2017 |
Sub-category classifiers for multiple-instance learning and its application to retinal nerve fiber layer visibility classification S Manivannan, C Cobb, S Burgess, E Trucco IEEE transactions on medical imaging, 2017 | 21 | 2017 |
Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification S Manivannan, C Cobb, S Burgess, E Trucco MICCAI, 2016 | 21 | 2016 |
Hep-2 specimen classification using multi-resolution local patterns and SVM S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna IEEE ICPR I3A workshop on pattern recognition techniques for IIF images, 2014 | 19 | 2014 |
Inter-cluster features for medical image classification ET S.Manivannan, R.Wang Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2014 | 10* | 2014 |
Extended gaussian-filtered local binary patterns for colonoscopy image classification S Manivannan, R Wang, E Trucco Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 9 | 2013 |
Brain tumor region segmentation using local co-occurrence features and conditional random fields S Manivannan, H Shen, W Li, R Annunziata, H Hamad, R Wang, J Zhang Technique Report, 2014 | 7 | 2014 |
Combination of CNN and hand-crafted feature for ischemic Stroke Lesion segmentation H Shen, S Manivannan, R Annunziata, R Wang, J Zhang Ischemic stroke lesion segmentation 1, 2016 | 6 | 2016 |
Learning discriminative local features from image-level labelled data for colonoscopy image classification S Manivannan, E Trucco 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 420-423, 2015 | 6 | 2015 |
Video-specific SVMs for colonoscopy image classification S Manivannan, R Wang, MP Trujillo, JA Hoyos, E Trucco International Workshop on Computer-Assisted and Robotic Endoscopy, 11-21, 2014 | 6 | 2014 |
Local structure prediction for gland segmentation S Manivannan, W Li, S Akbar, J Zhang, E Trucco, SJ McKenna 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 799-802, 2016 | 5 | 2016 |
Skin lesion analysis towards melanoma detection using deep neural network ensemble J Zhuang, W Li, S Manivannan, R Wang, JLJG Zhang, J Pan, G Jiang, ... ISIC Challenge 2018 2, 2018 | 3 | 2018 |
Skin lesion analysis towards melanoma detection using deep neural network ensemble ZY Jiaxin Zhuang, Weipeng Li, Siyamalan Manivannan, Roy Wang, JianGuo Zhang ... Skin lesion analysis towards melanoma detection using deep neural network …, 2018 | 2* | 2018 |
Visual feature learning with application to medical image classification S Manivannan University of Dundee, 2015 | 2 | 2015 |
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network R Zhang, S Tan, R Wang, S Manivannan, J Chen, H Lin, WS Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 1 | 2019 |
Comparative Analysis of Different Features and Encoding Methods for Rice Image Classification VE Nirmalan, RD Nawarathna, S Manivannan 2018 IEEE International Conference on Information and Automation for …, 2018 | 1 | 2018 |