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ORCIDSiyamalan Manivannan
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2020 – today
- 2024
[j10]Siyamalan Manivannan
:
Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN. Expert Syst. Appl. 238(Part F): 122301 (2024)- [j9]Siyamalan Manivannan:
Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects. Signal Image Video Process. 18(3): 2391-2401 (2024) - 2023
- [j8]Siyamalan Manivannan:
Collaborative deep semi-supervised learning with knowledge distillation for surface defect classification. Comput. Ind. Eng. 186: 109766 (2023) - [j7]Siyamalan Manivannan:
Automatic quality inspection in additive manufacturing using semi-supervised deep learning. J. Intell. Manuf. 34(7): 3091-3108 (2023) - 2022
- [j6]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan:
Siamese network based fine grained classification for Diabetic Retinopathy grading. Biomed. Signal Process. Control. 78: 103874 (2022) - [j5]Siyamalan Manivannan:
An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns. Comput. Ind. Eng. 172(Part): 108614 (2022) - [j4]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan, Ruixuan Wang:
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. Neural Comput. Appl. 34(7): 5321-5347 (2022) - 2020
- [c17]Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan:
Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images. ICIIS 2020: 144-149
2010 – 2019
- 2019
- [c16]Siyamalan Manivannan, Mogan Kausik:
Convolutional Neural Network and Feature Encoding for Predicting the Outcome of Cricket Matches. ICIIS 2019: 344-349 - [c15]Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Wei-Shi Zheng:
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. MICCAI (1) 2019: 209-217 - 2018
- [j3]Siyamalan Manivannan, Wenqi Li, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features. IEEE Trans. Medical Imaging 37(1): 210-221 (2018) - 2017
- [j2]Siyamalan Manivannan, Caroline Cobb, Stephen Burgess, Emanuele Trucco:
Subcategory Classifiers for Multiple-Instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification. IEEE Trans. Medical Imaging 36(5): 1140-1150 (2017) - [c14]Ahmed E. Fetit, Siyamalan Manivannan, Sarah McGrory, Lucia Ballerini, Alexander S. Doney, Thomas J. MacGillivray, Ian J. Deary, Joanna M. Wardlaw, Fergus Doubal, Gareth J. McKay, Stephen J. McKenna, Emanuele Trucco:
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI 2017: 150-158 - 2016
- [j1]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recognit. 51: 12-26 (2016) - [c13]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI 2016: 541-544 - [c12]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Local structure prediction for gland segmentation. ISBI 2016: 799-802 - [c11]Wenqi Li, Siyamalan Manivannan, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna:
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks. ISBI 2016: 1405-1408 - [c10]Siyamalan Manivannan, Emanuele Trucco:
Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification. CARE@MICCAI 2016: 48-58 - [c9]Siyamalan Manivannan, Caroline Cobb, Stephen Burgess, Emanuele Trucco:
Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification. MICCAI (2) 2016: 308-316 - 2015
- [b1]Siyamalan Manivannan:
Visual feature learning with application to medical image classification. University of Dundee, UK, 2015 - [c8]Siyamalan Manivannan, Emanuele Trucco:
Learning discriminative local features from image-level labelled data for colonoscopy image classification. ISBI 2015: 420-423 - [c7]Gustavo A. Puerto Souza, Siyamalan Manivannan, María P. Trujillo, Jesus Arbey Hoyos, Emanuele Trucco, Gian Luca Mariottini:
Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency. CARE@MICCAI 2015: 129-139 - 2014
- [c6]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. I3A@ICPR 2014: 37-40 - [c5]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. I3A@ICPR 2014: 41-44 - [c4]Siyamalan Manivannan, Ruixuan Wang, María P. Trujillo, Jesus Arbey Hoyos, Emanuele Trucco:
Video-Specific SVMs for Colonoscopy Image Classification. CARE@MICCAI 2014: 11-21 - [c3]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Inter-Cluster Features for Medical Image Classification. MICCAI (3) 2014: 345-352 - 2013
- [c2]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. ICCV Workshops 2013: 184-189 - [c1]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco, Adrian Hood:
Automatic normal-abnormal video frame classification for colonoscopy. ISBI 2013: 644-647
Coauthor Index
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