Jagath C. Rajapakse

Nanyang Technological University (NTU)

Singapore

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Professors in Neuroscience

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Articles (21)

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2025

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2022

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2022

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2020

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2020

Collaborators (4)

Yi Hao Chan

Nanyang Technological University

SINGAPORE

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Satya P Singh

Nanyang Technological University (NTU)

SINGAPORE

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Erik Cambria

Associate Professor

Nanyang Technological University (NTU)

SINGAPORE

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Kang Sim

Adjunct Associate Professor

Lee Kong Chian School of Medicine

SINGAPORE

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Jagath C. Rajapakse

Research Interests

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Articles (21)

Disentangling shared and unique brain functional changes associated with clinical severity and cognitive phenotypes in schizophrenia via deep learning

Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review

Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes

Classification of cognitive syndromes in a Southeast Asian population: Interpretable graph convolutional neural networks

Efficient Fourier Filtering Network With Contrastive Learning for AAV-Based Unaligned Bimodal Salient Object Detection

Integrating Kolmogorov–Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields

Multitask Transformer for Cross-Corpus Speech Emotion Recognition

Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound Videos

TwinsTNet: Broad-View Twins Transformer Network for Bi-Modal Salient Object Detection

Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome

SKGC: A General Semantic-level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease

Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome

Two-Stage Approach to Intracranial Hemorrhage Segmentation From Head CT Images

Marshall–Olkin power-law distributions in length-frequency of entities

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis

Multi-modal graph neural network for early diagnosis of Alzheimer's disease from sMRI and PET scans

HUT: Hybrid UNet transformer for brain lesion and tumour segmentation

Deep learning and multi-omics approach to predict drug responses in cancer

Decoding task specific and task general functional architectures of the brain

Iterative consensus spectral clustering improves detection of subject and group level brain functional modules

Ambivert degree identifies crucial brain functional hubs and improves detection of Alzheimer’s Disease and Autism Spectrum Disorder

Collaborators (4)

Yi Hao Chan

Satya P Singh

Erik Cambria

Kang Sim

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