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Siyamalan Manivannan
Siyamalan Manivannan
Department of Computer Science, University of Jaffna, Sri Lanka
Verified email at univ.jfn.ac.lk - Homepage
Title
Cited by
Cited by
Year
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study
R Nirthika, S Manivannan, A Ramanan, R Wang
Neural Computing and Applications 34 (7), 5321-5347, 2022
1432022
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
1012016
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
862016
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
572017
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
552014
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
332017
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
332016
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
332013
Skin lesion analysis towards melanoma detection using deep neural network ensemble
J Zhuang, W Li, S Manivannan, R Wang, JJG Zhang, J Pan, G Jiang, Z Yin
ISIC Challenge 2018 (2), 1-6, 2018
232018
Biomarker localization by combining CNN classifier and generative adversarial network
R Zhang, S Tan, R Wang, S Manivannan, J Chen, H Lin, WS Zheng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
22*2019
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
202014
An ensemble-based deep semi-supervised learning for the classification of wafer bin maps defect patterns
S Manivannan
Computers & Industrial Engineering 172, 108614, 2022
172022
Automatic quality inspection in additive manufacturing using semi-supervised deep learning
S Manivannan
Journal of Intelligent Manufacturing 34 (7), 3091-3108, 2023
162023
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
122013
Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images
R Nirthika, S Manivannan, A Ramanan
2020 IEEE 15th international conference on industrial and information …, 2020
112020
Convolutional neural network and feature encoding for predicting the outcome of cricket matches
S Manivannan, M Kausik
2019 14th Conference on Industrial and Information Systems (ICIIS), 344-349, 2019
112019
Inter-cluster features for medical image classification
ET S.Manivannan, R.Wang
Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2014
11*2014
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
102015
Siamese network based fine grained classification for Diabetic Retinopathy grading
R Nirthika, S Manivannan, A Ramanan
Biomedical Signal Processing and Control 78, 103874, 2022
92022
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
82016
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