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Siyamalan 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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