| 2025 | ICASSP | 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 |
| 2025 | ICASSP | Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology. | Amashi Niwarthana, Chockalingam Kasi, Yi Hao Chan, Conghao Wang, Jagath C. Rajapakse |
| 2025 | ICASSP | Generating Apoptosis-Inducing Anticancer Peptides Targeting BCL-xL Using Latent Diffusion Models on Small Datasets. | Tiara Natasha Binte Sayuti, Conghao Wang, Jagath C. Rajapakse |
| 2025 | MICCAI | Meta-analysis Guided Multi-task Graph Transformer Network for Diagnosis of Neurological Disease and Cognitive Deficits. | Jing Xia, Yi Hao Chan, Jagath C. Rajapakse |
| 2025 | MICCAI | Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance. | Yige Yan, Jun Cheng, Xulei Yang, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | De Novo Molecule Generation with Graph Latent Diffusion Model. | Conghao Wang, Hiok Hian Ong, Shunsuke Chiba, Jagath C. Rajapakse |
| 2024 | ICASSP | Brain Structure-Function Interaction Network for Fluid Cognition Prediction. | Jing Xia, Yi Hao Chan, Deepank Girish, Jagath C. Rajapakse |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. | Yige Yan, Jun Cheng, Xulei Yang, Zaiwang Gu, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse |
| 2022 | Interspeech | 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 |
| 2022 | Interspeech | Discriminative Adversarial Learning for Speaker Independent Emotion Recognition. | L. L. Chamara Kasun, Chung Soo Ahn, Jagath C. Rajapakse, Zhiping Lin, Guang-Bin Huang |
| 2022 | MICCAI | Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI. | Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | Decoding Brain Functional Connectivity Implicated in AD and MCI. | Sukrit Gupta, Yi Hao Chan, Jagath C. Rajapakse |
| 2018 | ICARCV | Predicting Affective States of Programming Using Keyboard Data and Mouse Behaviors. | Hualin Liu, Owen Noel Newton Fernando, Jagath C. Rajapakse |
| 2010 | CIBCB | Support vectors based correlation coefficient for gene and sample selection in cancer classification. | Piyushkumar A. Mundra, Jagath C. Rajapakse |
| 2010 | ICPR | Identifying Cells in Histopathological Images. | Jierong Cheng, Merlin Veronika, Jagath C. Rajapakse |
| 2010 | IJCNN | Evolutionary approach to ICA-R. | Swathi Kavuri Sri, Jacek M. Zurada, Jagath C. Rajapakse |
| 2010 | IJCNN | Complex ICA-R. | Jagath C. Rajapakse, Wenda Chen |
| 2010 | IJCNN | Gene regulatory networks with variable-order dynamic Bayesian networks. | Jagath C. Rajapakse, Iti Chaturvedi |
| 2010 | ISKE | ListMotif: A time and memory efficient algorithm for weak motif discovery. | He Quan Sun, Malcolm Yoke Hean Low, Wen-Jing Hsu, Jagath C. Rajapakse |
| 2008 | BIBE | Extracting decision rules in prediction of protein secondary structure. | Minh Ngoc Nguyen, Jacek M. Zurada, Jagath C. Rajapakse |
| 2008 | IJCNN | Protein localization on cellular images with Markov random fields. | Song Liu, Jagath C. Rajapakse |
| 2008 | IJCNN | Extracting EEG rhythms using ICA-R. | Swathi Kavuri Sri, Jagath C. Rajapakse |
| 2007 | CIBCB | Comparison of Human and Mouse Pseudogenes. | Pooja, Jagath C. Rajapakse |
| 2006 | CIBCB | Protein-Protein Interface Residue Prediction with SVM Using Evolutionary Profiles and Accessible Surface Areas. | Minh Ngoc Nguyen, Jagath C. Rajapakse |
| 2006 | CIBCB | 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, Gary B. Fogel, Jagath C. Rajapakse |
| 2006 | ICONIP | Ultra-Fast fMRI Imaging with High-Fidelity Activation Map. | Neelam Sinha, Manojkumar Saranathan, A. G. Ramakrishnan, Juan Zhou, Jagath C. Rajapakse |
| 2006 | ICONIP | Effect of Diffusion Weighting and Number of Sensitizing Directions on Fiber Tracking in DTI. | Bo Zheng, Jagath C. Rajapakse |
| 2006 | ICONIP | Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series. | Juan Zhou, Jagath C. Rajapakse |
| 2005 | APBC | SVM-RFE peak selection for cancer classification with mass spectrometry data. | Kaibo Duan, Jagath C. Rajapakse |
| 2005 | CIBCB | Gene Classification Using Codon Usage Patterns and SVMs. | Jianmin Ma, Minh Ngoc Nguyen, Gavyn Pang, Jagath C. Rajapakse |
| 2005 | CIBCB | Multi-class Protein Subcellular Localization Classification Using Support Vector Machines. | Peng Wai Meng, Jagath C. Rajapakse |
| 2005 | CIBCB | LVQ Approach Using AA Indices for Protein Subcellular Localisation Prediction. | Kok-Sin Toh, Minh Ngoc Nguyen, Jagath C. Rajapakse |
| 2005 | CIBCB | Robust Algorithm for Finding Weak Motifs. | Xiao Yang, Jagath C. Rajapakse |
| 2005 | IJCNN | Extraction of event-related potentials from EEG signals using ICA with reference. | Lau Kah Liong Joshua, Jagath C. Rajapakse |
| 2005 | IJCNN | Comparative genomic study of Parkinson's disease candidate genes. | Gavyn Pang, Jagath C. Rajapakse |
| 2005 | PSB | Two-Stage Multi-Class Support Vector Machines to Protein Secondary Structure Prediction. | Minh Ngoc Nguyen, Jagath C. Rajapakse |
| 2004 | CIBCB | Two-stage support vector machines to protein relative solvent accessibility prediction. | Minh Ngoc Nguyen, Jagath C. Rajapakse |
| 2004 | CIBCB | A variant of SVM-RFE for gene selection in cancer classification with expression data. | Kaibo Duan, Jagath C. Rajapakse |
| 2004 | CIBCB | High sensitivity technique for translation initiation site detection. | Loi Sy Ho, Jagath C. Rajapakse |
| 2004 | CIBCB | Inferring neutral evolution from Parkinson's disease genes. | Gavyn Pang, Jagath C. Rajapakse |
| 2004 | CIBCB | Graphical approach for motif recognition in DNA sequences. | Xiao Yang, Jagath C. Rajapakse |
| 2004 | ICIP | Color channel encoding with NMF for face recognition. | Menaka Rajapakse, Jeffrey Tan, Jagath C. Rajapakse |
| 2004 | IJCNN | Excerpts of research in brain sciences and neural networks in Singapore. | Jagath C. Rajapakse, Dipti Srinivasan, Meng Joo Er, Guang-Bin Huang, Lipo Wang |
| 2004 | IJCNN | Graphical models for brain connectivity from functional imaging data. | Xuebin Zheng, Jagath C. Rajapakse |
| 2002 | ICARCV | Parameter estimation of fMRI time-series using frequency analysis. | Keng Wah Choo, Jagath C. Rajapakse |
| 2002 | ICARCV | Augmenting HMM with neural network for finding gene structure. | Loi Sy Ho, Jagath C. Rajapakse, Minh Ngoc Nguyen |
| 2002 | ICARCV | Fuzzy neural approach for segmentation of subcortical structures from MR head scans. | Shi Jian, Li Shan, Jagath C. Rajapakse |
| 2002 | ICARCV | Combining GOR techniques with support vector machines for protein secondary structure prediction. | Minh Ngoc Nguyen, Jagath C. Rajapakse, Loi Sy Ho |
| 2002 | ICARCV | Emerging region segmentation. | Jagath C. Rajapakse |
| 2002 | ICARCV | Blind processing in neuroimaging: application to FMRI. | Jagath C. Rajapakse |
| 2002 | ICARCV | NURBS-based analysis of gender-related variability of the human brain surface. | Jagath C. Rajapakse, Ravinda G. N. Meegama, Loi Sy Ho |
| 2000 | ESANN | Boundary based movement correction of functional MR data using a genetic algorithm. | Guojun Bao, Jagath C. Rajapakse |
| 2000 | ESANN | A neural network for undercomplete independent component analysis. | Lu Wei, Jagath C. Rajapakse |
| 1997 | ICONIP | Neuronal and Hemodynamic Responses from Functional MRI Time-Series: A Computational Model. | Jagath C. Rajapakse, Frithjof Kruggel |
| 1991 | ICASSP | Neuromorphic model for information fusion. | Jagath C. Rajapakse, Raj Acharya |
| 1990 | IJCNN | Multi sensor data fusion within hierarchical neural networks. | Jagath C. Rajapakse, Raj Acharya |
| 1990 | IJCNN | Medical image segmentation with MARA. | Jagath C. Rajapakse, Raj Acharya |