Multi sensor data fusion within hierarchical neural networks. - Jagath C. Rajapakse; Raj Acharya (IJCNN, 1990)

Medical image segmentation with MARA. - Jagath C. Rajapakse; Raj Acharya (IJCNN, 1990)

Neuromorphic model for information fusion. - Jagath C. Rajapakse; Raj Acharya (ICASSP, 1991)

Neuronal and Hemodynamic Responses from Functional MRI Time-Series: A Computational Model. - Jagath C. Rajapakse; Frithjof Kruggel (ICONIP (1), 1997)

Statistical Approach to Segmentation of Single-Channel Cerebral MR Images. - Jagath C. Rajapakse; Jay N. Giedd; Judith L. Rapoport (IEEE Trans. Medical Imaging, 1997)

Segmentation of MR images with intensity inhomogeneities. - Jagath C. Rajapakse; Frithjof Kruggel (Image Vis. Comput., 1998)

Neuronal and Hemodynamic Events from fMRI Time-Series. - Jagath C. Rajapakse; Frithjof Kruggel; Stefan Zysset; D. Yves von Cramon (J. Adv. Comput. Intell. Intell. Informatics, 1998)

Boundary based movement correction of functional MR data using a genetic algorithm. - Guojun Bao; Jagath C. Rajapakse (ESANN, 2000)

A neural network for undercomplete independent component analysis. - Lu Wei; Jagath C. Rajapakse (ESANN, 2000)

Constrained Independent Component Analysis. - Wei Lu 028; Jagath C. Rajapakse (NIPS, 2000)

Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model. - Jayasanka Piyaratna; Jagath C. Rajapakse (IPMI, 2001)

Bayesian approach to segmentation of statistical parametric maps. - Jagath C. Rajapakse; Jayasanka Piyaratna (IEEE Trans. Biomed. Eng., 2001)

Parameter estimation of fMRI time-series using frequency analysis. - Keng Wah Choo; Jagath C. Rajapakse (ICARCV, 2002)

Augmenting HMM with neural network for finding gene structure. - Loi Sy Ho; Jagath C. Rajapakse; Minh Ngoc Nguyen 002 (ICARCV, 2002)

Fuzzy neural approach for segmentation of subcortical structures from MR head scans. - Shi Jian; Li Shan; Jagath C. Rajapakse (ICARCV, 2002)

Combining GOR techniques with support vector machines for protein secondary structure prediction. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse; Loi Sy Ho (ICARCV, 2002)

Emerging region segmentation. - Jagath C. Rajapakse (ICARCV, 2002)

Blind processing in neuroimaging: application to FMRI. - Jagath C. Rajapakse (ICARCV, 2002)

NURBS-based analysis of gender-related variability of the human brain surface. - Jagath C. Rajapakse; Ravinda G. N. Meegama; Loi Sy Ho (ICARCV, 2002)

A NURBS-Based Technique for the Segmentation of Medical Images. - Ravinda G. N. Meegama; Jagath C. Rajapakse (ICVGIP, 2002)

Adaptive blind signal and image processing: learning algorithms and applications: A. Cichocki, S. Amari, Wiley, New York, 2002, 586pp., ISBN 0471 60791 6. - Jagath C. Rajapakse (Neurocomputing, 2002)

Eliminating indeterminacy in ICA. - Wei Lu 028; Jagath C. Rajapakse (Neurocomputing, 2003)

NURBS-Based Segmentation of the Brain in Medical Images. - Ravinda G. N. Meegama; Jagath C. Rajapakse (Int. J. Pattern Recognit. Artif. Intell., 2003)

NURBS snakes. - Ravinda G. N. Meegama; Jagath C. Rajapakse (Image Vis. Comput., 2003)

Two-Stage support vector machines for protein secondary structure prediction. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse (Neural Parallel Sci. Comput., 2003)

Adaptive blind signal and image processing: learning algorithms and applications [Book Review]. - Jagath C. Rajapakse (IEEE Trans. Neural Networks, 2003)

Two-stage support vector machines to protein relative solvent accessibility prediction. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse (CIBCB, 2004)

A variant of SVM-RFE for gene selection in cancer classification with expression data. - Kaibo Duan; Jagath C. Rajapakse (CIBCB, 2004)

High sensitivity technique for translation initiation site detection. - Loi Sy Ho; Jagath C. Rajapakse (CIBCB, 2004)

Inferring neutral evolution from Parkinson's disease genes. - Gavyn Pang; Jagath C. Rajapakse (CIBCB, 2004)

Graphical approach for motif recognition in DNA sequences. - Xiao Yang; Jagath C. Rajapakse (CIBCB, 2004)

Color channel encoding with NMF for face recognition. - Menaka Rajapakse; Jeffrey Tan; Jagath C. Rajapakse (ICIP, 2004)

Excerpts of research in brain sciences and neural networks in Singapore. - Jagath C. Rajapakse; Dipti Srinivasan; Meng Joo Er; Guang-Bin Huang; Lipo Wang (IJCNN, 2004)

Graphical models for brain connectivity from functional imaging data. - Xuebin Zheng; Jagath C. Rajapakse (IJCNN, 2004)

An Exploratory Approach to Modelling Effective Connectivity. - Jagath C. Rajapakse; Kanyan Yang (ISBI, 2004)

Fully Automated Peeling Technique For T1-Weighted, High-Quality Mr Head Scans. - Ravinda G. N. Meegama; Jagath C. Rajapakse (Int. J. Image Graph., 2004)

SVM-RFE peak selection for cancer classification with mass spectrometry data. - Kaibo Duan; Jagath C. Rajapakse (APBC, 2005)

Gene Classification Using Codon Usage Patterns and SVMs. - Jianmin Ma; Minh Ngoc Nguyen 002; Gavyn Pang; Jagath C. Rajapakse (CIBCB, 2005)

Multi-class Protein Subcellular Localization Classification Using Support Vector Machines. - Peng Wai Meng; Jagath C. Rajapakse (CIBCB, 2005)

LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction. - Kok-Sin Toh; Minh Ngoc Nguyen 002; Jagath C. Rajapakse (CIBCB, 2005)

Robust Algorithm for Finding Weak Motifs. - Xiao Yang; Jagath C. Rajapakse (CIBCB, 2005)

Syntactic Approach to Predict Membrane Spanning Regions of Transmembrane Proteins. - Koliya Pulasinghe; Jagath C. Rajapakse (EvoWorkshops, 2005)

Extraction of event-related potentials from EEG signals using ICA with reference. - Lau Kah Liong Joshua; Jagath C. Rajapakse (IJCNN, 2005)

Comparative genomic study of Parkinson's disease candidate genes. - Gavyn Pang; Jagath C. Rajapakse (IJCNN, 2005)

Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse (Pacific Symposium on Biocomputing, 2005)

Phonological processing in Chinese-English bilingual biscriptals: An fMRI study. - 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 (NeuroImage, 2005)

Segmentation of subcortical brain structures using fuzzy templates. - Juan Helen Zhou; Jagath C. Rajapakse (NeuroImage, 2005)

Markov Encoding for Detecting Signals in Genomic Sequences. - Jagath C. Rajapakse; Loi Sy Ho (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Approach and applications of constrained ICA. - Wei Lu 028; Jagath C. Rajapakse (IEEE Trans. Neural Networks, 2005)

Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse (CIBCB, 2006)

Determination of the Relative Importance of Gene Function or Taxonomic Grouping to Codon Usage Bias Using Cluster Analysis and SVMs. - Jianmin Ma; Minh Ngoc Nguyen 002; Gary B. Fogel; Jagath C. Rajapakse (CIBCB, 2006)

Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. - Neelam Sinha; Manojkumar Saranathan; A. G. Ramakrishnan; Juan Zhou; Jagath C. Rajapakse (ICONIP (2), 2006)

Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. - Bo Zheng; Jagath C. Rajapakse (ICONIP (3), 2006)

Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. - Juan Zhou; Jagath C. Rajapakse (ICONIP (3), 2006)

Graphical Approach to Weak Motif Recognition in Noisy Data Sets. - Loi Sy Ho; Jagath C. Rajapakse (PRIB, 2006)

Pattern Recognition in Bioinformatics: An Introduction. - Jagath C. Rajapakse; Limsoon Wong; Raj Acharya (PRIB, 2006)

ICA with Reference. - Wei Lu 028; Jagath C. Rajapakse (Neurocomputing, 2006)

NURBS-based visualization of age-related diversity in cortical morphology. - Ravinda G. N. Meegama; Jagath C. Rajapakse (J. Vis., 2006)

Learning functional structure from fMR images. - Xuebin Zheng; Jagath C. Rajapakse (NeuroImage, 2006)

Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics". - David Corne; Gary B. Fogel; Jagath C. Rajapakse; Lipo Wang (Soft Comput., 2006)

Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks. - Loi Sy Ho; Jagath C. Rajapakse (Soft Comput., 2006)

Contextual modeling of functional MR images with conditional random fields. - Yang Wang 002; Jagath C. Rajapakse (IEEE Trans. Medical Imaging, 2006)

Comparison of Human and Mouse Pseudogenes. - Pooja; Jagath C. Rajapakse (CIBCB, 2007)

One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification. - Kaibo Duan; Jagath C. Rajapakse; Minh Ngoc Nguyen 002 (EvoBIO, 2007)

Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse; Kaibo Duan (EvoBIO, 2007)

Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation. - Iti Chaturvedi; Meena K. Sakharkar; Jagath C. Rajapakse (PRIB, 2007)

Time-Frequency Method Based Activation Detection in Functional MRI Time-Series. - Arun Kumar 006; Jagath C. Rajapakse (PRIB, 2007)

SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection. - Piyushkumar A. Mundra; Jagath C. Rajapakse (PRIB, 2007)

Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling. - Bo Zheng; Jagath C. Rajapakse (PRIB, 2007)

Prediction of Protein Secondary Structure with two-stage multi-class SVMs. - Minh Ngoc Nguyen 002; Jagath C. Rajapakse (Int. J. Data Min. Bioinform., 2007)

Power spectral based detection of brain activation from fMR images. - Arun Kumar 006; Jagath C. Rajapakse (Neural Comput. Appl., 2007)

Modeling hemodynamic variability with fuzzy features for detecting brain activation from fMR time-series. - Juan Helen Zhou; Jagath C. Rajapakse (Neural Comput. Appl., 2007)

Learning effective brain connectivity with dynamic Bayesian networks. - Jagath C. Rajapakse; Juan Helen Zhou (NeuroImage, 2007)

Guest Editors' Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics. - Jagath C. Rajapakse; Yan-Qing Zhang 001; Gary B. Fogel (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Grid-Enabled BLASTZ: Application to Comparative Genomics. - Chunxi Chen; Jagath C. Rajapakse (J. VLSI Signal Process., 2007)

Extracting decision rules in prediction of protein secondary structure. - Minh Ngoc Nguyen 002; Jacek M. Zurada; Jagath C. Rajapakse (BIBE, 2008)

Protein localization on cellular images with Markov random fields. - Song Liu; Jagath C. Rajapakse (IJCNN, 2008)

Extracting EEG rhythms using ICA-R. - Swathi Kavuri Sri; Jagath C. Rajapakse (IJCNN, 2008)

Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models. - Iti Chaturvedi; Jagath C. Rajapakse (PRIB, 2008)

Support Vector Based T-Score for Gene Ranking. - Piyushkumar A. Mundra; Jagath C. Rajapakse (PRIB, 2008)

Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation. - Juan Helen Zhou; Jagath C. Rajapakse (Neurocomputing, 2008)

Probabilistic Framework for Brain Connectivity From Functional MR Images. - Jagath C. Rajapakse; Yang Wang 002; Xuebin Zheng; Juan Helen Zhou (IEEE Trans. Medical Imaging, 2008)

F-score with Pareto Front Analysis for Multiclass Gene Selection. - Piyushkumar A. Mundra; Jagath C. Rajapakse (EvoBIO, 2009)

Joint Tracking of Cell Morphology and Motion. - Jierong Cheng; Esther G. L. Koh; Sohail Ahmed; Jagath C. Rajapakse (PRIB, 2009)

Di-codon Usage for Gene Classification. - Minh Ngoc Nguyen 002; Jianmin Ma; Gary B. Fogel; Jagath C. Rajapakse (PRIB, 2009)

Di-codon usage for classification of genes. - Minh Ngoc Nguyen 002; Jianmin Ma; Gary B. Fogel; Jagath C. Rajapakse (Biosyst., 2009)

Sub-population analysis based on temporal features of high content images. - Merlin Veronika; James Evans; Paul Matsudaira; Roy E. Welsch; Jagath C. Rajapakse (BMC Bioinform., 2009)

Segmentation of Clustered Nuclei With Shape Markers and Marking Function. - Jierong Cheng; Jagath C. Rajapakse (IEEE Trans. Biomed. Eng., 2009)

Gene Classification Using Codon Usage and Support Vector Machines. - Jianmin Ma; Minh Ngoc Nguyen 002; Jagath C. Rajapakse (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Time Efficient DT-MRI Acquisition Parameters for Robust Estimation of Fiber Tracts. - Bo Zheng; Jagath C. Rajapakse (J. Signal Process. Syst., 2009)

Support vectors based correlation coefficient for gene and sample selection in cancer classification. - Piyushkumar A. Mundra; Jagath C. Rajapakse (CIBCB, 2010)

Identifying Cells in Histopathological Images. - Jierong Cheng; Merlin Veronika; Jagath C. Rajapakse (ICPR Contests, 2010)

Evolutionary approach to ICA-R. - Swathi Kavuri Sri; Jacek M. Zurada; Jagath C. Rajapakse (IJCNN, 2010)

Complex ICA-R. - Jagath C. Rajapakse; Wenda Chen (IJCNN, 2010)

Gene regulatory networks with variable-order dynamic Bayesian networks. - Jagath C. Rajapakse; Iti Chaturvedi (IJCNN, 2010)

ListMotif: A time and memory efficient algorithm for weak motif discovery. - He Quan Sun; Malcolm Yoke Hean Low; Wen-Jing Hsu; Jagath C. Rajapakse (ISKE, 2010)

Quantification of Cytoskeletal Protein Localization from High-Content Images. - Shiwen Zhu; Paul Matsudaira; Roy E. Welsch; Jagath C. Rajapakse (PRIB, 2010)

Automated Scoring System for Liver Fibrosis Diagnosis with Second Harmonic Generation Microscopy. - Shuoyu Xu; Dean Tai; Peter So; Hanry Yu; Jagath C. Rajapakse (Aust. J. Intell. Inf. Process. Syst., 2010)

RecMotif: a novel fast algorithm for weak motif discovery. - He Quan Sun; Malcolm Yoke Hean Low; Wen-Jing Hsu; Jagath C. Rajapakse (BMC Bioinform., 2010)

Gene and sample selection for cancer classification with support vectors based t-statistic. - Piyushkumar A. Mundra; Jagath C. Rajapakse (Neurocomputing, 2010)

Building gene networks with time-delayed regulations. - Iti Chaturvedi; Jagath C. Rajapakse (Pattern Recognit. Lett., 2010)

Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line. - Fransiskus Xaverius Ivan; Roy E. Welsch; Vincent T. K. Chow; Jagath C. Rajapakse (EMBC, 2011)

Features for cells and nuclei classification. - Song Liu; Piyushkumar A. Mundra; Jagath C. Rajapakse (EMBC, 2011)

Staging tissues with conditional random fields. - Jagath C. Rajapakse; Song Liu (EMBC, 2011)

Automated scoring of liver fibrosis through combined features from different collagen groups. - Shuoyu Xu; Dean Tai; Aileen Wee; Roy E. Welsch; Peter So; Hanry Yu; Jagath C. Rajapakse (EMBC, 2011)

Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. - Jagath C. Rajapakse; Iti Chaturvedi (PRIB, 2011)

Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. - Jie Zheng 002; Iti Chaturvedi; Jagath C. Rajapakse (PRIB, 2011)

Tree-structured algorithm for long weak motif discovery. - He Quan Sun; Malcolm Yoke Hean Low; Wen-Jing Hsu; Ching-Wai Tan; Jagath C. Rajapakse (Bioinform., 2011)

Stability of building gene regulatory networks with sparse autoregressive models. - Jagath C. Rajapakse; Piyushkumar A. Mundra (BMC Bioinform., 2011)

Correlation of cell membrane dynamics and cell motility. - Merlin Veronika; Roy E. Welsch; Alvin Ng; Paul Matsudaira; Jagath C. Rajapakse (BMC Bioinform., 2011)

Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules. - Minh Ngoc Nguyen 002; Jacek M. Zurada; Jagath C. Rajapakse (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Gene Regulatory Networks from Gene Ontology. - Wenting Liu; Kuiyu Chang; Jie Zheng 002; Jain Divya; Jung-Jae Kim 001; Jagath C. Rajapakse (ISBRA, 2013)

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression. - Piyushkumar A. Mundra; Jie Zheng 002; Mahesan Niranjan; Roy E. Welsch; Jagath C. Rajapakse (ISBRA, 2013)

Inferring Gene Regulatory Networks from Time-Series Expressions Using Random Forests Ensemble. - D. A. K. Maduranga; Jie Zheng 002; Piyushkumar A. Mundra; Jagath C. Rajapakse (PRIB, 2013)

Simultaneous Sample and Gene Selection Using T-score and Approximate Support Vectors. - Piyushkumar A. Mundra; Jagath C. Rajapakse; D. A. K. Maduranga (PRIB, 2013)

Multiclass Gene Selection Using Pareto-Fronts. - Jagath C. Rajapakse; Piyushkumar A. Mundra (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest. - Seyed Ziaeddin Alborzi; D. A. K. Maduranga; Rui Fan; Jagath C. Rajapakse; Jie Zheng 002 (PRIB, 2014)

Extracting rate changes in transcriptional regulation from MEDLINE abstracts. - Wenting Liu; Kui Miao; Guangxia Li; Kuiyu Chang; Jie Zheng 002; Jagath C. Rajapakse (BMC Bioinform., 2014)

Mixed spectrum analysis in spatial context: Application to fMRI. - Arun Kumar 006; Lin Feng; Jagath C. Rajapakse (ISBI, 2016)

Locality regularized sparse subspace clustering with application to cortex parcellation on resting fMRI. - Xiuchao Sui; Shaohua Li; Jagath C. Rajapakse (ISBI, 2016)

Gene and sample selection using T-score with sample selection. - Piyushkumar A. Mundra; Jagath C. Rajapakse (J. Biomed. Informatics, 2016)

Mixed Spectrum Analysis on fMRI Time-Series. - Arun Kumar 006; Feng Lin; Jagath C. Rajapakse (IEEE Trans. Medical Imaging, 2016)

Fitting networks models for functional brain connectivity. - Jagath C. Rajapakse; Sukrit Gupta; Xiuchao Sui (ISBI, 2017)

Detecting functional modules of the brain using eigen value decomposition of the signless Laplacian. - Xiuchao Sui; Shaohua Li; Jagath C. Rajapakse (ISBI, 2017)

MultiDCoX: Multi-factor analysis of differential co-expression. - Herty Liany; Jagath C. Rajapakse; R. Krishna Murthy Karuturi (BMC Bioinform., 2017)

Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. - Hualin Liu; Owen Noel Newton Fernando; Jagath C. Rajapakse (ICARCV, 2018)

Nodal degree distributions of resting-state functional brain modules. - Sukrit Gupta; Jagath C. Rajapakse (ISBI, 2018)

Automatic segmentation of skin lesions using deep learning. - Joshua Peter Ebenezer; Jagath C. Rajapakse (CoRR, 2018)

Deep neural network ensemble by data augmentation and bagging for skin lesion classification. - Manik Goyal; Jagath C. Rajapakse (CoRR, 2018)

Named Entity Analysis and Extraction with Uncommon Words. - Xiaoshi Zhong; Erik Cambria; Jagath C. Rajapakse (CoRR, 2018)

Discovering Power Laws in Entity Length. - Xiaoshi Zhong; Erik Cambria; Jagath C. Rajapakse (CoRR, 2018)

Predicting Missing and Spurious Protein-Protein Interactions Using Graph Embeddings on GO Annotation Graph. - Xiaoshi Zhong; Jagath C. Rajapakse (BIBM, 2019)

Decoding Brain Functional Connectivity Implicated in AD and MCI. - Sukrit Gupta; Yi Hao Chan; Jagath C. Rajapakse (MICCAI (3), 2019)

Functional homogeneity and specificity of topological modules in human proteome. - Rama Kaalia; Jagath C. Rajapakse (BMC Bioinform., 2019)

Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks. - Wenting Liu; Jagath C. Rajapakse (BMC Syst. Biol., 2019)

Decoding Task States by Spotting Salient Patterns at Time Points and Brain Regions. - Yi Hao Chan; Sukrit Gupta; L. L. Chamara Kasun; Jagath C. Rajapakse (MLCN/RNO-AI@MICCAI, 2020)

Graph embeddings on gene ontology annotations for protein-protein interaction prediction. - Xiaoshi Zhong; Jagath C. Rajapakse (BMC Bioinform., 2020)

Deep learning and multi-omics approach to predict drug responses in cancer. - Conghao Wang; Xintong Lye; Rama Kaalia; Parvin Kumar; Jagath C. Rajapakse (BMC Bioinform., 2021)

Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. - Sukrit Gupta; Yi Hao Chan; Jagath C. Rajapakse; Alzheimer's Disease Neuroimaging Initiative (Neurocomputing, 2021)

Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. - Chamara Kasun Liyanaarachchi Lekamalage; Zhiping Lin 001; Guang-Bin Huang; Jagath Chandana Rajapakse (IJCNN, 2022)

Recurrent multi-head attention fusion network for combining audio and text for speech emotion recognition. - Chung Soo Ahn; L. L. Chamara Kasun; Sunil Sivadas; Jagath C. Rajapakse (INTERSPEECH, 2022)

Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. - L. L. Chamara Kasun; Chung Soo Ahn; Jagath C. Rajapakse; Zhiping Lin 001; Guang-Bin Huang (INTERSPEECH, 2022)

Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI. - Yi Hao Chan; Wei Chee Yew; Jagath C. Rajapakse (MICCAI (1), 2022)

DrDimont: explainable drug response prediction from differential analysis of multi-omics networks. - Pauline Hiort; Julian Hugo; Justus Zeinert; Nataniel Müller; Spoorthi Kashyap; Jagath C. Rajapakse; Francisco Azuaje; Bernhard Y. Renard; Katharina Baum (Bioinform., 2022)

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. - Sujia Huang; Shunxin Xiao; Wenzhe Liu; Jielong Lu; Zhihao Wu 003; Shiping Wang; Jagath C. Rajapakse (BIBM, 2023)

Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation. - Chung Soo Ahn; Jagath C. Rajapakse; Rajib Rana (CoRR, 2023)

Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans. - Yanteng Zhang; Xiaohai He; Yi Hao Chan; Qizhi Teng; Jagath C. Rajapakse (Comput. Biol. Medicine, 2023)

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. - Shunxin Xiao; Huibin Lin; Conghao Wang; Shiping Wang; Jagath C. Rajapakse (IEEE J. Biomed. Health Informatics, 2023)

Marshall-Olkin power-law distributions in length-frequency of entities. - Xiaoshi Zhong; Xiang Yu; Erik Cambria; Jagath C. Rajapakse (Knowl. Based Syst., 2023)

Robustness of Explainable AI Algorithms for Disease Biomarker Discovery from Functional Connectivity Datasets. - Deepank Girish; Yi Hao Chan; Sukrit Gupta; Jing Xia; Jagath C. Rajapakse (BHI, 2024)

Generative Adversarial Learning for Semi-supervised Retinal Layer Segmentation in OCT Images. - Charlene Zhi Lin Ong; Asad Abu Bakar Ali; Jagath C. Rajapakse (BHI, 2024)

Enhancing Protein Language Model With Feature Integration for Anticancer Peptide Prediction. - Tiara Natasha Binte Sayuti; Shen Cheng; Santhisenan Ajith; Abdul Hadi Bin Abdul Samad; Jagath C. Rajapakse (BHI, 2024)

Federated Semi-supervised Learning for Medical Image Segmentation with Intra-client and Inter-client Consistency. - Yubin Zheng; Peng Tang; Tianjie Ju; Hao Wang; Weidong Qiu; Jagath C. Rajapakse (BIBM, 2024)

Subtype-Specific Biomarkers of Alzheimer's Disease from Anatomical and Functional Connectomes via Graph Neural Networks. - Yi Hao Chan; Jun Liang Ang; Sukrit Gupta; Yinan He; Jagath C. Rajapakse (ICASSP, 2024)

De Novo Molecule Generation with Graph Latent Diffusion Model. - Conghao Wang; Hiok Hian Ong; Shunsuke Chiba; Jagath C. Rajapakse (ICASSP, 2024)

Brain Structure-Function Interaction Network for Fluid Cognition Prediction. - Jing Xia; Yi Hao Chan; Deepank Girish; Jagath C. Rajapakse (ICASSP, 2024)

IMG-GCN: Interpretable Modularity-Guided Structure-Function Interactions Learning for Brain Cognition and Disorder Analysis. - Jing Xia; Yi Hao Chan; Deepank Girish; Jagath C. Rajapakse (MICCAI (10), 2024)

Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. - Yige Yan; Jun Cheng 003; Xulei Yang; Zaiwang Gu; Shuang Leng; Ru-San Tan; Liang Zhong 001; Jagath C. Rajapakse (MICCAI (1), 2024)

Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images. - Jagath C. Rajapakse; Chun Hung How; Yi Hao Chan; Luke Chin Peng Hao; Abhinandan Padhi; Vivek Adrakatti; Iram Rais Alam Khan; Tchoyoson Lim (IEEE Access, 2024)

GLDM: hit molecule generation with constrained graph latent diffusion model. - Conghao Wang; Hiok Hian Ong; Shunsuke Chiba; Jagath C. Rajapakse (Briefings Bioinform., 2024)

Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review. - Yi Hao Chan; Deepank Girish; Sukrit Gupta; Jing Xia; Chockalingam Kasi; Yinan He; Conghao Wang; Jagath C. Rajapakse (CoRR, 2024)

Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection. - Pengfei Lyu; Pak-Hei Yeung; Xiufei Cheng; Xiaosheng Yu; Chengdong Wu 001; Jagath C. Rajapakse (CoRR, 2024)

Deep Fourier-embedded Network for Bi-modal Salient Object Detection. - Pengfei Lyu; Xiaosheng Yu; Chengdong Wu 001; Jagath C. Rajapakse (CoRR, 2024)

Pharmacophore-constrained de novo drug design with diffusion bridge. - Conghao Wang; Yuguang Mu; Jagath C. Rajapakse (CoRR, 2024)

Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. - Charlene Zhi Lin Ong; N. Jannah M. Nasir; Roy E. Welsch; Lisa Tucker-Kellogg; Jagath C. Rajapakse (Frontiers Bioinform., 2024)

Self-supervised learning for hotspot detection and isolation from thermal images. - Shreyas Goyal; Jagath C. Rajapakse (Expert Syst. Appl., 2024)

SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. - Yuhuan Lu; Guanghua Tan; Bin Pu; Hang Wang; Bocheng Liang; Kenli Li 001; Jagath C. Rajapakse (IEEE J. Biomed. Health Informatics, 2024)

AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior. - Yuhuan Lu; Jintang Li; Jianxin Lin; Ying Yuan; Jagath C. Rajapakse; Ningbo Zhu; Chunlian Wang; Kenli Li 001 (ICASSP, 2025)

Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology. - Amashi Niwarthana; Chockalingam Kasi; Yi Hao Chan; Conghao Wang; Jagath C. Rajapakse (ICASSP, 2025)

Generating Apoptosis-Inducing Anticancer Peptides Targeting BCL-xL Using Latent Diffusion Models on Small Datasets. - Tiara Natasha Binte Sayuti; Conghao Wang; Jagath C. Rajapakse (ICASSP, 2025)

Subcortical Masks Generation in CT Images via Ensemble-Based Cross-Domain Label Transfer. - Augustine X. W. Lee; Pak-Hei Yeung; Jagath C. Rajapakse (MIUA (3), 2025)

Classification of cognitive syndromes in a Southeast Asian population: Interpretable graph convolutional neural networks. - 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 (Knowl. Based Syst., 2025)

Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes. - Jing Xia; Yi Hao Chan; Deepank Girish; Jagath C. Rajapakse (Medical Image Anal., 2025)

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review. - Yi Hao Chan; Deepank Girish; Sukrit Gupta; Jing Xia; Chockalingam Kasi; Yinan He; Conghao Wang; Jagath C. Rajapakse (NeuroImage, 2025)

Efficient Fourier Filtering Network With Contrastive Learning for AAV-Based Unaligned Bimodal Salient Object Detection. - Pengfei Lyu; Pak-Hei Yeung; Xiaosheng Yu; Xiufei Cheng; Chengdong Wu 001; Jagath C. Rajapakse (IEEE Trans. Geosci. Remote. Sens., 2025)

Integrating Kolmogorov-Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields. - Yueyue Xiao; Liang Wang; Chunxiao Chen; Songpei Hu; Ming Lu; Hao Yu; Jagath C. Rajapakse (IEEE Trans. Instrum. Meas., 2025)

TwinsTNet: Broad-View Twins Transformer Network for Bi-Modal Salient Object Detection. - Pengfei Lyu; Xiaosheng Yu; Jianning Chi; Hao Wu 064; Chengdong Wu 001; Jagath C. Rajapakse (IEEE Trans. Image Process., 2025)

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation. - Pengfei Lyu; Pak-Hei Yeung; Xiaosheng Yu; Jing Xia; Jianning Chi; Chengdong Wu 001; Jagath C. Rajapakse (CoRR, 2025)

Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos. - Yuhuan Lu; Guanghua Tan; Bin Pu; Pak-Hei Yeung; Hang Wang; Shengli Li 001; Jagath C. Rajapakse; Kenli Li 001 (IEEE Trans. Medical Imaging, 2025)

Positional embeddings and zero-shot learning using BERT for molecular-property prediction. - Medard Edmund Mswahili; Junha Hwang; Jagath C. Rajapakse; Kyuri Jo; Young-Seob Jeong (J. Cheminformatics, 2025)