| 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 | 143 | 2022 |
| 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 | 101 | 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 | 86 | 2016 |
| 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 | 57 | 2017 |
| 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 | 55 | 2014 |
| 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 | 33 | 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 | 33 | 2016 |
| 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 | 33 | 2013 |
| 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 | 23 | 2018 |
| 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 | 20 | 2014 |
| An ensemble-based deep semi-supervised learning for the classification of wafer bin maps defect patterns S Manivannan Computers & Industrial Engineering 172, 108614, 2022 | 17 | 2022 |
| Automatic quality inspection in additive manufacturing using semi-supervised deep learning S Manivannan Journal of Intelligent Manufacturing 34 (7), 3091-3108, 2023 | 16 | 2023 |
| 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 | 12 | 2013 |
| 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 | 11 | 2020 |
| 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 | 11 | 2019 |
| 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 | 10 | 2015 |
| Siamese network based fine grained classification for Diabetic Retinopathy grading R Nirthika, S Manivannan, A Ramanan Biomedical Signal Processing and Control 78, 103874, 2022 | 9 | 2022 |
| 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 | 8 | 2016 |
Ruixuan WangSun Yat-Sen UniversityEmail confirmado em mail.sysu.edu.cn
