Siyamalan Manivannan

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Venues

ISBI

CARE@MICCAI

I3A@ICPR

IEEE Trans. Medical Imaging

University of Dundee, UK (PHD)

Education History

University of Dundee, UK

PHD

Publications

Siyamalan Manivannan
Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN. Expert Syst. Appl. 238 (Part F) (2024)
Siyamalan Manivannan
Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects. Signal Image Video Process. 18 (3) (2024)
Siyamalan Manivannan
Collaborative deep semi-supervised learning with knowledge distillation for surface defect classification. Comput. Ind. Eng. 186 (2023)
Siyamalan Manivannan
Automatic quality inspection in additive manufacturing using semi-supervised deep learning. J. Intell. Manuf. 34 (7) (2023)
Siyamalan Manivannan
An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns. Comput. Ind. Eng. 172 (Part) (2022)
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) (2022)
Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan
Siamese network based fine grained classification for Diabetic Retinopathy grading. Biomed. Signal Process. Control. 78 (2022)
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)
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)
Siyamalan Manivannan, Mogan Kausik
Convolutional Neural Network and Feature Encoding for Predicting the Outcome of Cricket Matches. ICIIS (2019)
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) (2018)
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) (2017)
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)
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)
Siyamalan Manivannan, Emanuele Trucco
Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification. CARE@MICCAI (2016)
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)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI (2016)
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 (2016)
Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Jianguo Zhang, Emanuele Trucco, Stephen J. McKenna
Local structure prediction for gland segmentation. ISBI (2016)
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)
Siyamalan Manivannan, Emanuele Trucco
Learning discriminative local features from image-level labelled data for colonoscopy image classification. ISBI (2015)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco
Inter-Cluster Features for Medical Image Classification. MICCAI (3) (2014)
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)
Siyamalan Manivannan, Ruixuan Wang, María P. Trujillo, Jesus Arbey Hoyos, Emanuele Trucco
Video-Specific SVMs for Colonoscopy Image Classification. CARE@MICCAI (2014)
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)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco, Adrian Hood
Automatic normal-abnormal video frame classification for colonoscopy. ISBI (2013)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. ICCV Workshops (2013)

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Publication Activity (10 Years)

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Siyamalan Manivannan