Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (ICCV Workshops, 2013)

Automatic normal-abnormal video frame classification for colonoscopy. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco; Adrian Hood (ISBI, 2013)

HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

Inter-Cluster Features for Medical Image Classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (MICCAI (3), 2014)

Video-Specific SVMs for Colonoscopy Image Classification. - Siyamalan Manivannan; Ruixuan Wang; María P. Trujillo; Jesus Arbey Hoyos; Emanuele Trucco (CARE@MICCAI, 2014)

Learning discriminative local features from image-level labelled data for colonoscopy image classification. - Siyamalan Manivannan; Emanuele Trucco (ISBI, 2015)

Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency. - Gustavo A. Puerto Souza; Siyamalan Manivannan; María P. Trujillo; Jesus Arbey Hoyos; Emanuele Trucco; Gian Luca Mariottini (CARE@MICCAI, 2015)

Visual feature learning with application to medical image classification. - Siyamalan Manivannan (2015)

Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks. - Wenqi Li 001; Siyamalan Manivannan; Shazia Akbar; Jianguo Zhang 001; Emanuele Trucco; Stephen J. McKenna (ISBI, 2016)

Local structure prediction for gland segmentation. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Jianguo Zhang 001; Emanuele Trucco; Stephen J. McKenna (ISBI, 2016)

Hierarchical mix-pooling and its applications to biomedical image classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (ISBI, 2016)

Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification. - Siyamalan Manivannan; Caroline Cobb; Stephen Burgess; Emanuele Trucco (MICCAI (2), 2016)

Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification. - Siyamalan Manivannan; Emanuele Trucco (CARE@MICCAI, 2016)

An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (Pattern Recognit., 2016)

Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. - 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 (FIFI/OMIA@MICCAI, 2017)

Subcategory Classifiers for Multiple-Instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification. - Siyamalan Manivannan; Caroline Cobb; Stephen Burgess; Emanuele Trucco (IEEE Trans. Medical Imaging, 2017)

Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features. - Siyamalan Manivannan; Wenqi Li 001; Jianguo Zhang 001; Emanuele Trucco; Stephen J. McKenna (IEEE Trans. Medical Imaging, 2018)

Convolutional Neural Network and Feature Encoding for Predicting the Outcome of Cricket Matches. - Siyamalan Manivannan; Mogan Kausik (ICIIS, 2019)

Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. - Rong Zhang; Shuhan Tan; Ruixuan Wang; Siyamalan Manivannan; Jingjing Chen; Haotian Lin 001; Wei-Shi Zheng 001 (MICCAI (1), 2019)

Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan (ICIIS, 2020)

Siamese network based fine grained classification for Diabetic Retinopathy grading. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan (Biomed. Signal Process. Control., 2022)

An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns. - Siyamalan Manivannan (Comput. Ind. Eng., 2022)

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan; Ruixuan Wang (Neural Comput. Appl., 2022)

Automatic quality inspection in additive manufacturing using semi-supervised deep learning. - Siyamalan Manivannan (J. Intell. Manuf., 2023)

Collaborative deep semi-supervised learning with knowledge distillation for surface defect classification. - Siyamalan Manivannan (Comput. Ind. Eng., 2023)

Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN. - Siyamalan Manivannan (Expert Syst. Appl., 2024)

Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects. - Siyamalan Manivannan (Signal Image Video Process., 2024)