Jagath C. Rajapakse

197 papers A* 1A 2B 15C 22Misc 9Journal 89Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Fourier-Embedded Network for RGB and Thermal Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. Pengfei Lyu, Xiaosheng Yu, Pak-Hei Yeung, Chengdong Wu, Jagath C. Rajapakse
2025	Misc	`conf`	AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior. ICASSP Yuhuan Lu, Jintang Li, Jianxin Lin, Ying Yuan, Jagath C. Rajapakse, Ningbo Zhu, Chunlian Wang, Kenli Li
2025	J	`jnl`	Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation. CoRR Pengfei Lyu, Pak-Hei Yeung, Xiaosheng Yu, Jing Xia, Jianning Chi, Chengdong Wu, Jagath C. Rajapakse
2025	J	`jnl`	Classification of cognitive syndromes in a Southeast Asian population: Interpretable graph convolutional neural networks. Knowl. Based Syst. Charlene Zhi Lin Ong, Ashwati Vipin, Yi Jin Leow, Pricilia Tanoto, Faith Phemie Hui En Lee, Smriti Ghildiyal, Shan Yao Liew, Yanteng Zhang, Asad Abu Bakar Ali, Jagath C. Rajapakse, Nagaendran Kandiah
2025	Misc	`conf`	Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology. ICASSP Amashi Niwarthana, Chockalingam Kasi, Yi Hao Chan, Conghao Wang, Jagath C. Rajapakse
2025	J	`jnl`	Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review. NeuroImage Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse
2025	—	`conf`	Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance. MICCAI (1) Yige Yan, Jun Cheng, XuLei Yang, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse
2025	J	`jnl`	Efficient Fourier Filtering Network With Contrastive Learning for AAV-Based Unaligned Bimodal Salient Object Detection. IEEE Trans. Geosci. Remote. Sens. Pengfei Lyu, Pak-Hei Yeung, Xiaosheng Yu, Xiufei Cheng, Chengdong Wu, Jagath C. Rajapakse
2025	A*	`conf`	FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning. ACM Multimedia Yubin Zheng, Pak-Hei Yeung, Jing Xia, Tianjie Ju, Peng Tang, Weidong Qiu, Jagath C. Rajapakse
2025	J	`jnl`	FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning. CoRR Yubin Zheng, Pak-Hei Yeung, Jing Xia, Tianjie Ju, Peng Tang, Weidong Qiu, Jagath C. Rajapakse
2025	Misc	`conf`	Generating Apoptosis-Inducing Anticancer Peptides Targeting BCL-xL Using Latent Diffusion Models on Small Datasets. ICASSP Tiara Natasha Binte Sayuti, Conghao Wang, Jagath C. Rajapakse
2025	J	`jnl`	Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model. CoRR Chung Soo Ahn, Rajib Rana, Sunil Sivadas, Carlos Busso, Jagath C. Rajapakse
2025	J	`jnl`	Integrating Kolmogorov-Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields. IEEE Trans. Instrum. Meas. Yueyue Xiao, Liang Wang, Chunxiao Chen, Songpei Hu, Ming Lu, Hao Yu, Jagath C. Rajapakse
2025	J	`jnl`	Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes. Medical Image Anal. Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2025	—	`conf`	Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits. MICCAI (12) Jing Xia, Yi Hao Chan, Jagath C. Rajapakse
2025	J	`jnl`	Multitask Transformer for Cross-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. Chung Soo Ahn, Rajib Rana, Carlos Busso, Jagath C. Rajapakse
2025	J	`jnl`	Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos. IEEE Trans. Medical Imaging Yuhuan Lu, Guanghua Tan, Bin Pu, Pak-Hei Yeung, Hang Wang, Shengli Li, Jagath C. Rajapakse, Kenli Li
2025	J	`jnl`	Polar Separable Transform for Efficient Orthogonal Rotation-Invariant Image Representation. CoRR Satya P. Singh, Rashmi Chaudhry, Anand Srivastava, Jagath C. Rajapakse
2025	J	`jnl`	Positional embeddings and zero-shot learning using BERT for molecular-property prediction. J. Cheminformatics Medard Edmund Mswahili, Junha Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong
2025	J	`jnl`	Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model. CoRR Pak-Hei Yeung, Jayroop Ramesh, Pengfei Lyu, Ana I. L. Namburete, Jagath C. Rajapakse
2025	—	`conf`	Semi-supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model. MLMI@MICCAI Pak-Hei Yeung, Jayroop Ramesh, Pengfei Lyu, Ana I. L. Namburete, Jagath C. Rajapakse
2025	—	`conf`	Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer. MIUA (3) Augustine X. W. Lee, Pak-Hei Yeung, Jagath C. Rajapakse
2025	J	`jnl`	Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer. CoRR Augustine X. W. Lee, Pak-Hei Yeung, Jagath C. Rajapakse
2025	J	`jnl`	Target-aware latent diffusion model for design of apoptosis-inducing anticancer peptides. Comput. Biol. Medicine Tiara Natasha Binte Sayuti, Kakuly Mittal, Tan Lai Heng, Jagath C. Rajapakse
2025	J	`jnl`	TwinsTNet: Broad-View Twins Transformer Network for Bi-Modal Salient Object Detection. IEEE Trans. Image Process. Pengfei Lyu, Xiaosheng Yu, Jianning Chi, Hao Wu, Chengdong Wu, Jagath C. Rajapakse
2024	Misc	`conf`	Brain Structure-Function Interaction Network for Fluid Cognition Prediction. ICASSP Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2024	—	`conf`	Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. MICCAI (1) Yige Yan, Jun Cheng, XuLei Yang, Zaiwang Gu, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse
2024	Misc	`conf`	De Novo Molecule Generation with Graph Latent Diffusion Model. ICASSP Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse
2024	J	`jnl`	Deep Fourier-embedded Network for Bi-modal Salient Object Detection. CoRR Pengfei Lyu, Xiaosheng Yu, Chengdong Wu, Jagath C. Rajapakse
2024	J	`jnl`	Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. CoRR Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse
2024	J	`jnl`	Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection. CoRR Pengfei Lyu, Pak-Hei Yeung, Xiufei Cheng, Xiaosheng Yu, Chengdong Wu, Jagath C. Rajapakse
2024	—	`conf`	Enhancing Protein Language Model With Feature Integration for Anticancer Peptide Prediction. BHI Tiara Natasha Binte Sayuti, Shen Cheng, Santhisenan Ajith, Abdul Hadi Bin Abdul Samad, Jagath C. Rajapakse
2024	—	`conf`	Federated Semi-supervised Learning for Medical Image Segmentation with Intra-client and Inter-client Consistency. BIBM Yubin Zheng, Peng Tang, Tianjie Ju, Hao Wang, Weidong Qiu, Jagath C. Rajapakse
2024	J	`jnl`	GLDM: hit molecule generation with constrained graph latent diffusion model. Briefings Bioinform. Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse
2024	—	`conf`	Generative Adversarial Learning for Semi-supervised Retinal Layer Segmentation in OCT Images. BHI Charlene Zhi Lin Ong, Asad Abu Bakar Ali, Jagath C. Rajapakse
2024	—	`conf`	IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis. MICCAI (10) Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse
2024	J	`jnl`	Pharmacophore-constrained de novo drug design with diffusion bridge. CoRR Conghao Wang, Yuguang Mu, Jagath C. Rajapakse
2024	J	`jnl`	Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. Frontiers Bioinform. Charlene Zhi Lin Ong, N. Jannah M. Nasir, Roy E. Welsch, Lisa Tucker-Kellogg, Jagath C. Rajapakse
2024	—	`conf`	Robustness of Explainable AI Algorithms for Disease Biomarker Discovery from Functional Connectivity Datasets. BHI Deepank Girish, Yi Hao Chan, Sukrit Gupta, Jing Xia, Jagath C. Rajapakse
2024	J	`jnl`	SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. IEEE J. Biomed. Health Informatics Yuhuan Lu, Guanghua Tan, Bin Pu, Hang Wang, Bocheng Liang, Kenli Li, Jagath C. Rajapakse
2024	J	`jnl`	Self-supervised learning for hotspot detection and isolation from thermal images. Expert Syst. Appl. Shreyas Goyal, Jagath C. Rajapakse
2024	Misc	`conf`	Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks. ICASSP Yi Hao Chan, Jun Liang Ang, Sukrit Gupta, Yinan He, Jagath C. Rajapakse
2024	J	`jnl`	Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images. IEEE Access Jagath C. Rajapakse, Chun Hung How, Yi Hao Chan, Luke Chin Peng Hao, Abhinandan Padhi, Vivek Adrakatti, Iram Rais Alam Khan, Tchoyoson Lim
2023	J	`jnl`	Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. IEEE J. Biomed. Health Informatics Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse
2023	J	`jnl`	Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation. CoRR Chung Soo Ahn, Jagath C. Rajapakse, Rajib Rana
2023	J	`jnl`	Marshall-Olkin power-law distributions in length-frequency of entities. Knowl. Based Syst. Xiaoshi Zhong, Xiang Yu, Erik Cambria, Jagath C. Rajapakse
2023	—	`conf`	Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM Sujia Huang, Shunxin Xiao, WenZhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse
2023	J	`jnl`	Multi-modal Graph Neural Network for Early Diagnosis of Alzheimer's Disease from sMRI and PET Scans. CoRR Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse
2023	J	`jnl`	Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans. Comput. Biol. Medicine Yanteng Zhang, Xiaohai He, Yi Hao Chan, Qizhi Teng, Jagath C. Rajapakse
2023	J	`jnl`	Self-supervised learning for hotspot detection and isolation from thermal images. CoRR Shreyas Goyal, Jagath C. Rajapakse
2022	A	`conf`	Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. INTERSPEECH L. L. Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang
2022	J	`jnl`	DrDimont: explainable drug response prediction from differential analysis of multi-omics networks. Bioinform. Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel Müller, Spoorthi Kashyap, Jagath C. Rajapakse, Francisco Azuaje, Bernhard Y. Renard, Katharina Baum
2022	A	`conf`	Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition. INTERSPEECH Chung Soo Ahn, L. L. Chamara Kasun, Sunil Sivadas, Jagath C. Rajapakse
2022	—	`conf`	Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI. MICCAI (1) Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse
2021	J	`jnl`	Deep learning and multi-omics approach to predict drug responses in cancer. BMC Bioinform. Conghao Wang, Xintong Lye, Rama Kaalia, Parvin Kumar, Jagath C. Rajapakse
2021	J	`jnl`	Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse, Alzheimer's Disease Neuroimaging Initiative
2020	—	`conf`	Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. MLCN/RNO-AI@MICCAI Yi Hao Chan, Sukrit Gupta, L. L. Chamara Kasun, Jagath C. Rajapakse
2020	J	`jnl`	Graph embeddings on gene ontology annotations for protein-protein interaction prediction. BMC Bioinform. Xiaoshi Zhong, Jagath C. Rajapakse
2019	—	`conf`	Decoding Brain Functional Connectivity Implicated in AD and MCI. MICCAI (3) Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse
2019	J	`jnl`	Functional homogeneity and specificity of topological modules in human proteome. BMC Bioinform. Rama Kaalia, Jagath C. Rajapakse
2019	J	`jnl`	Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks. BMC Syst. Biol. Wenting Liu, Jagath C. Rajapakse
2019	—	`conf`	Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. BIBM Xiaoshi Zhong, Jagath C. Rajapakse
2018	J	`jnl`	Automatic segmentation of skin lesions using deep learning. CoRR Joshua Peter Ebenezer, Jagath C. Rajapakse
2018	J	`jnl`	Deep neural network ensemble by data augmentation and bagging for skin lesion classification. CoRR Manik Goyal, Jagath C. Rajapakse
2018	J	`jnl`	Discovering Power Laws in Entity Length. CoRR Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
2018	J	`jnl`	Named Entity Analysis and Extraction with Uncommon Words. CoRR Xiaoshi Zhong, Erik Cambria, Jagath C. Rajapakse
2018	—	`conf`	Nodal degree distributions of resting-state functional brain modules. ISBI Sukrit Gupta, Jagath C. Rajapakse
2018	C	`conf`	Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. ICARCV Hualin Liu, Owen Noel Newton Fernando, Jagath C. Rajapakse
2017	—	`conf`	Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian. ISBI Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse
2017	—	`conf`	Fitting networks models for functional brain connectivity. ISBI Jagath C. Rajapakse, Sukrit Gupta, Xiuchao Sui
2017	J	`jnl`	MultiDCoX: Multi-factor analysis of differential co-expression. BMC Bioinform. Herty Liany, Jagath C. Rajapakse, R. Krishna Murthy Karuturi
2016	J	`jnl`	Gene and sample selection using T-score with sample selection. J. Biomed. Informatics Piyushkumar A. Mundra, Jagath C. Rajapakse
2016	—	`conf`	Locality regularized sparse subspace clustering with application to cortex parcellation on resting fMRI. ISBI Xiuchao Sui, Shaohua Li, Jagath C. Rajapakse
2016	J	`jnl`	Mixed Spectrum Analysis on fMRI Time-Series. IEEE Trans. Medical Imaging Arun Kumar, Feng Lin, Jagath C. Rajapakse
2016	—	`conf`	Mixed spectrum analysis in spatial context: Application to fMRI. ISBI Arun Kumar, Lin Feng, Jagath C. Rajapakse
2014	—	`conf`	CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest. PRIB Seyed Ziaeddin Alborzi, D. A. K. Maduranga, Rui Fan, Jagath C. Rajapakse, Jie Zheng
2014	J	`jnl`	Extracting rate changes in transcriptional regulation from MEDLINE abstracts. BMC Bioinform. Wenting Liu, Kui Miao, Guangxia Li, Kuiyu Chang, Jie Zheng, Jagath C. Rajapakse
2014	—	`ed.`	Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings PRIB Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath C. Rajapakse
2013	—	`conf`	Gene Regulatory Networks from Gene Ontology. ISBRA Wenting Liu, Kuiyu Chang, Jie Zheng, Jain Divya, Jung-Jae Kim, Jagath C. Rajapakse
2013	—	`conf`	Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble. PRIB D. A. K. Maduranga, Jie Zheng, Piyushkumar A. Mundra, Jagath C. Rajapakse
2013	—	`conf`	Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. ISBRA Piyushkumar A. Mundra, Jie Zheng, Mahesan Niranjan, Roy E. Welsch, Jagath C. Rajapakse
2013	J	`jnl`	Multiclass Gene Selection Using Pareto-Fronts. IEEE ACM Trans. Comput. Biol. Bioinform. Jagath C. Rajapakse, Piyushkumar A. Mundra
2013	—	`conf`	Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors. PRIB Piyushkumar A. Mundra, Jagath C. Rajapakse, D. A. K. Maduranga
2011	—	`conf`	Automated scoring of liver fibrosis through combined features from different collagen groups. EMBC Shuoyu Xu, Dean Tai, Aileen Wee, Roy E. Welsch, Peter So, Hanry Yu, Jagath C. Rajapakse
2011	J	`jnl`	Correlation of cell membrane dynamics and cell motility. BMC Bioinform. Merlin Veronika, Roy E. Welsch, Alvin Ng, Paul Matsudaira, Jagath C. Rajapakse
2011	—	`conf`	Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line. EMBC Fransiskus Xaverius Ivan, Roy E. Welsch, Vincent T. K. Chow, Jagath C. Rajapakse
2011	—	`conf`	Features for cells and nuclei classification. EMBC Song Liu, Piyushkumar A. Mundra, Jagath C. Rajapakse
2011	—	`conf`	Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. PRIB Jie Zheng, Iti Chaturvedi, Jagath C. Rajapakse
2011	—	`conf`	Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. PRIB Jagath C. Rajapakse, Iti Chaturvedi
2011	J	`jnl`	Stability of building gene regulatory networks with sparse autoregressive models. BMC Bioinform. Jagath C. Rajapakse, Piyushkumar A. Mundra
2011	—	`conf`	Staging tissues with conditional random fields. EMBC Jagath C. Rajapakse, Song Liu
2011	J	`jnl`	Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules. IEEE ACM Trans. Comput. Biol. Bioinform. Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse
2011	J	`jnl`	Tree-structured algorithm for long weak motif discovery. Bioinform. He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Ching-Wai Tan, Jagath C. Rajapakse
2010	J	`jnl`	Automated Scoring System for Liver Fibrosis Diagnosis with Second Harmonic Generation Microscopy. Aust. J. Intell. Inf. Process. Syst. Shuoyu Xu, Dean Tai, Peter So, Hanry Yu, Jagath C. Rajapakse
2010	J	`jnl`	Building gene networks with time-delayed regulations. Pattern Recognit. Lett. Iti Chaturvedi, Jagath C. Rajapakse
2010	B	`conf`	Complex ICA-R. IJCNN Jagath C. Rajapakse, Wenda Chen
2010	B	`conf`	Evolutionary approach to ICA-R. IJCNN Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse
2010	J	`jnl`	Gene and sample selection for cancer classification with support vectors based t-statistic. Neurocomputing Piyushkumar A. Mundra, Jagath C. Rajapakse
2010	B	`conf`	Gene regulatory networks with variable-order dynamic Bayesian networks. IJCNN Jagath C. Rajapakse, Iti Chaturvedi
2010	—	`conf`	Identifying Cells in Histopathological Images. ICPR Contests Jierong Cheng, Merlin Veronika, Jagath C. Rajapakse
2010	Misc	`conf`	ListMotif: A time and memory efficient algorithm for weak motif discovery. ISKE He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Jagath C. Rajapakse
2010	—	`conf`	Quantification of Cytoskeletal Protein Localization from High-Content Images. PRIB Shiwen Zhu, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse
2010	J	`jnl`	RecMotif: a novel fast algorithm for weak motif discovery. BMC Bioinform. He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Jagath C. Rajapakse
2010	C	`conf`	Support vectors based correlation coefficient for gene and sample selection in cancer classification. CIBCB Piyushkumar A. Mundra, Jagath C. Rajapakse
2009	—	`conf`	Di-codon Usage for Gene Classification. PRIB Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse
2009	J	`jnl`	Di-codon usage for classification of genes. Biosyst. Minh Ngoc Nguyen, Jianmin Ma, Gary B. Fogel, Jagath C. Rajapakse
2009	—	`conf`	F-score with Pareto Front Analysis for Multiclass Gene Selection. EvoBIO Piyushkumar A. Mundra, Jagath C. Rajapakse
2009	J	`jnl`	Gene Classification Using Codon Usage and Support Vector Machines. IEEE ACM Trans. Comput. Biol. Bioinform. Jianmin Ma, Minh Ngoc Nguyen, Jagath C. Rajapakse
2009	—	`conf`	Joint Tracking of Cell Morphology and Motion. PRIB Jierong Cheng, Esther G. L. Koh, Sohail Ahmed, Jagath C. Rajapakse
2009	J	`jnl`	Segmentation of Clustered Nuclei With Shape Markers and Marking Function. IEEE Trans. Biomed. Eng. Jierong Cheng, Jagath C. Rajapakse
2009	J	`jnl`	Sub-population analysis based on temporal features of high content images. BMC Bioinform. Merlin Veronika, James Evans, Paul Matsudaira, Roy E. Welsch, Jagath C. Rajapakse
2009	J	`jnl`	Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts. J. Signal Process. Syst. Bo Zheng, Jagath C. Rajapakse
2008	B	`conf`	Extracting EEG rhythms using ICA-R. IJCNN Swathi Kavuri Sri, Jagath C. Rajapakse
2008	C	`conf`	Extracting decision rules in prediction of protein secondary structure. BIBE Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse
2008	—	`conf`	Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. PRIB Iti Chaturvedi, Jagath C. Rajapakse
2008	J	`jnl`	Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation. Neurocomputing Juan Helen Zhou, Jagath C. Rajapakse
2008	J	`jnl`	Probabilistic Framework for Brain Connectivity From Functional MR Images. IEEE Trans. Medical Imaging Jagath C. Rajapakse, Yang Wang, Xuebin Zheng, Juan Helen Zhou
2008	B	`conf`	Protein localization on cellular images with Markov random fields. IJCNN Song Liu, Jagath C. Rajapakse
2008	—	`conf`	Support Vector Based T-Score for Gene Ranking. PRIB Piyushkumar A. Mundra, Jagath C. Rajapakse
2007	—	`conf`	Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines. EvoBIO Minh Ngoc Nguyen, Jagath C. Rajapakse, Kaibo Duan
2007	C	`conf`	Comparison of Human and Mouse Pseudogenes. CIBCB Pooja, Jagath C. Rajapakse
2007	—	`ed.`	Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics, 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings EvoBio Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse
2007	J	`jnl`	Grid-Enabled BLASTZ: Application to Comparative Genomics. J. VLSI Signal Process. Chunxi Chen, Jagath C. Rajapakse
2007	J	`jnl`	Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. Jagath C. Rajapakse, Yan-Qing Zhang, Gary B. Fogel
2007	—	`conf`	Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. PRIB Bo Zheng, Jagath C. Rajapakse
2007	J	`jnl`	Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage Jagath C. Rajapakse, Juan Helen Zhou
2007	J	`jnl`	Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series. Neural Comput. Appl. Juan Helen Zhou, Jagath C. Rajapakse
2007	—	`conf`	One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification. EvoBIO Kaibo Duan, Jagath C. Rajapakse, Minh Ngoc Nguyen
2007	—	`ed.`	Pattern Recognition in Bioinformatics, Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007, Proceedings PRIB Jagath C. Rajapakse, Bertil Schmidt, L. Gwenn Volkert
2007	J	`jnl`	Power spectral based detection of brain activation from fMR images. Neural Comput. Appl. Arun Kumar, Jagath C. Rajapakse
2007	J	`jnl`	Prediction of Protein Secondary Structure with two-stage multi-class SVMs. Int. J. Data Min. Bioinform. Minh Ngoc Nguyen, Jagath C. Rajapakse
2007	—	`conf`	SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. PRIB Piyushkumar A. Mundra, Jagath C. Rajapakse
2007	—	`conf`	Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. PRIB Arun Kumar, Jagath C. Rajapakse
2007	—	`conf`	Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation. PRIB Iti Chaturvedi, Meena K. Sakharkar, Jagath C. Rajapakse
2006	J	`jnl`	Contextual modeling of functional MR images with conditional random fields. IEEE Trans. Medical Imaging Yang Wang, Jagath C. Rajapakse
2006	C	`conf`	Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs. CIBCB Jianmin Ma, Minh Ngoc Nguyen, Gary B. Fogel, Jagath C. Rajapakse
2006	J	`jnl`	Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics". Soft Comput. David Corne, Gary B. Fogel, Jagath C. Rajapakse, Lipo Wang
2006	—	`conf`	Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. ICONIP (3) Bo Zheng, Jagath C. Rajapakse
2006	—	`conf`	Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. ICONIP (3) Juan Zhou, Jagath C. Rajapakse
2006	—	`conf`	Graphical Approach to Weak Motif Recognition in Noisy Data Sets. PRIB Loi Sy Ho, Jagath C. Rajapakse
2006	J	`jnl`	ICA with Reference. Neurocomputing Wei Lu, Jagath C. Rajapakse
2006	J	`jnl`	Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks. Soft Comput. Loi Sy Ho, Jagath C. Rajapakse
2006	J	`jnl`	Learning functional structure from fMR images. NeuroImage Xuebin Zheng, Jagath C. Rajapakse
2006	J	`jnl`	NURBS-based visualization of age-related diversity in cortical morphology. J. Vis. Ravinda G. N. Meegama, Jagath C. Rajapakse
2006	—	`ed.`	Pattern Recognition in Bioinformatics, International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings PRIB Jagath C. Rajapakse, Limsoon Wong, Raj Acharya
2006	—	`conf`	Pattern Recognition in Bioinformatics: An Introduction. PRIB Jagath C. Rajapakse, Limsoon Wong, Raj Acharya
2006	C	`conf`	Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. CIBCB Minh Ngoc Nguyen, Jagath C. Rajapakse
2006	—	`conf`	Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. ICONIP (2) Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse
2005	J	`jnl`	Approach and applications of constrained ICA. IEEE Trans. Neural Networks Wei Lu, Jagath C. Rajapakse
2005	B	`conf`	Comparative genomic study of Parkinson's disease candidate genes. IJCNN Gavyn Pang, Jagath C. Rajapakse
2005	B	`conf`	Extraction of event-related potentials from EEG signals using ICA with reference. IJCNN Lau Kah Liong Joshua, Jagath C. Rajapakse
2005	C	`conf`	Gene Classification Using Codon Usage Patterns and SVMs. CIBCB Jianmin Ma, Minh Ngoc Nguyen, Gavyn Pang, Jagath C. Rajapakse
2005	C	`conf`	LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction. CIBCB Kok-Sin Toh, Minh Ngoc Nguyen, Jagath C. Rajapakse
2005	J	`jnl`	Markov Encoding for Detecting Signals in Genomic Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. Jagath C. Rajapakse, Loi Sy Ho
2005	C	`conf`	Multi-class Protein Subcellular Localization Classification Using Support Vector Machines. CIBCB Peng Wai Meng, Jagath C. Rajapakse
2005	J	`jnl`	Phonological processing in Chinese-English bilingual biscriptals: An fMRI study. NeuroImage Wendy W. P. Tham, Susan J. Rickard Liow, Jagath C. Rajapakse, Tan Choong Leong, Samuel E. S. Ng, Winston E. H. Lim, Lynn G. Ho
2005	C	`conf`	Robust Algorithm for Finding Weak Motifs. CIBCB Xiao Yang, Jagath C. Rajapakse
2005	B	`conf`	SVM-RFE peak selection for cancer classification with mass spectrometry data. APBC Kaibo Duan, Jagath C. Rajapakse
2005	J	`jnl`	Segmentation of subcortical brain structures using fuzzy templates. NeuroImage Juan Helen Zhou, Jagath C. Rajapakse
2005	—	`conf`	Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins. EvoWorkshops Koliya Pulasinghe, Jagath C. Rajapakse
2005	Misc	`conf`	Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction. Pacific Symposium on Biocomputing Minh Ngoc Nguyen, Jagath C. Rajapakse
2004	C	`conf`	A variant of SVM-RFE for gene selection in cancer classification with expression data. CIBCB Kaibo Duan, Jagath C. Rajapakse
2004	—	`conf`	An Exploratory Approach to Modelling Effective Connectivity. ISBI Jagath C. Rajapakse, Kanyan Yang
2004	B	`conf`	Color channel encoding with NMF for face recognition. ICIP Menaka Rajapakse, Jeffrey Tan, Jagath C. Rajapakse
2004	B	`conf`	Excerpts of research in brain sciences and neural networks in Singapore. IJCNN Jagath C. Rajapakse, Dipti Srinivasan, Meng Joo Er, Guang-Bin Huang, Lipo Wang
2004	J	`jnl`	Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans. Int. J. Image Graph. Ravinda G. N. Meegama, Jagath C. Rajapakse
2004	C	`conf`	Graphical approach for motif recognition in DNA sequences. CIBCB Xiao Yang, Jagath C. Rajapakse
2004	B	`conf`	Graphical models for brain connectivity from functional imaging data. IJCNN Xuebin Zheng, Jagath C. Rajapakse
2004	C	`conf`	High sensitivity technique for translation initiation site detection. CIBCB Loi Sy Ho, Jagath C. Rajapakse
2004	C	`conf`	Inferring neutral evolution from Parkinson's disease genes. CIBCB Gavyn Pang, Jagath C. Rajapakse
2004	C	`conf`	Two-stage support vector machines to protein relative solvent accessibility prediction. CIBCB Minh Ngoc Nguyen, Jagath C. Rajapakse
2003	J	`jnl`	Adaptive blind signal and image processing: learning algorithms and applications [Book Review]. IEEE Trans. Neural Networks Jagath C. Rajapakse
2003	J	`jnl`	Eliminating indeterminacy in ICA. Neurocomputing Wei Lu, Jagath C. Rajapakse
2003	J	`jnl`	NURBS snakes. Image Vis. Comput. Ravinda G. N. Meegama, Jagath C. Rajapakse
2003	J	`jnl`	NURBS-Based Segmentation of the Brain in Medical Images. Int. J. Pattern Recognit. Artif. Intell. Ravinda G. N. Meegama, Jagath C. Rajapakse
2003	J	`jnl`	Two-Stage support vector machines for protein secondary structure prediction. Neural Parallel Sci. Comput. Minh Ngoc Nguyen, Jagath C. Rajapakse
2002	—	`conf`	A NURBS-Based Technique for the Segmentation of Medical Images. ICVGIP Ravinda G. N. Meegama, Jagath C. Rajapakse
2002	J	`jnl`	Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6. Neurocomputing Jagath C. Rajapakse
2002	C	`conf`	Augmenting HMM with neural network for finding gene structure. ICARCV Loi Sy Ho, Jagath C. Rajapakse, Minh Ngoc Nguyen
2002	C	`conf`	Blind processing in neuroimaging: application to FMRI. ICARCV Jagath C. Rajapakse
2002	C	`conf`	Combining GOR techniques with support vector machines for protein secondary structure prediction. ICARCV Minh Ngoc Nguyen, Jagath C. Rajapakse, Loi Sy Ho
2002	C	`conf`	Emerging region segmentation. ICARCV Jagath C. Rajapakse
2002	C	`conf`	Fuzzy neural approach for segmentation of subcortical structures from MR head scans. ICARCV Shi Jian, Li Shan, Jagath C. Rajapakse
2002	C	`conf`	NURBS-based analysis of gender-related variability of the human brain surface. ICARCV Jagath C. Rajapakse, Ravinda G. N. Meegama, Loi Sy Ho
2002	C	`conf`	Parameter estimation of fMRI time-series using frequency analysis. ICARCV Keng Wah Choo, Jagath C. Rajapakse
2001	J	`jnl`	Bayesian approach to segmentation of statistical parametric maps. IEEE Trans. Biomed. Eng. Jagath C. Rajapakse, Jayasanka Piyaratna
2001	—	`conf`	Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model. IPMI Jayasanka Piyaratna, Jagath C. Rajapakse
2000	B	`conf`	A neural network for undercomplete independent component analysis. ESANN Lu Wei, Jagath C. Rajapakse
2000	B	`conf`	Boundary based movement correction of functional MR data using a genetic algorithm. ESANN Guojun Bao, Jagath C. Rajapakse
2000	—	`conf`	Constrained Independent Component Analysis. NIPS Wei Lu, Jagath C. Rajapakse
1998	J	`jnl`	Neuronal and Hemodynamic Events from fMRI Time-Series. J. Adv. Comput. Intell. Intell. Informatics Jagath C. Rajapakse, Frithjof Kruggel, Stefan Zysset, D. Yves von Cramon
1998	J	`jnl`	Segmentation of MR images with intensity inhomogeneities. Image Vis. Comput. Jagath C. Rajapakse, Frithjof Kruggel
1997	—	`conf`	Neuronal and Hemodynamic Responses from Functional MRI Time-Series: A Computational Model. ICONIP (1) Jagath C. Rajapakse, Frithjof Kruggel
1997	J	`jnl`	Statistical Approach to Segmentation of Single-Channel Cerebral MR Images. IEEE Trans. Medical Imaging Jagath C. Rajapakse, Jay N. Giedd, Judith L. Rapoport
1991	Misc	`conf`	Neuromorphic model for information fusion. ICASSP Jagath C. Rajapakse, Raj Acharya
1990	B	`conf`	Medical image segmentation with MARA. IJCNN Jagath C. Rajapakse, Raj Acharya
1990	B	`conf`	Multi sensor data fusion within hierarchical neural networks. IJCNN Jagath C. Rajapakse, Raj Acharya