Jagath C. Rajapakse
Professor
Applies machine learning to brain imaging and to computational and systems biology.
Jagath C. Rajapakse's lab at NTU works on genomics & computational biology, neuroscience & brain-computer interfaces and data management & big data. 14 papers since 2023, 2 at top venues, mostly Briefings in Bioinformatics and Expert Systems with Applications. 6 PhD students.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 14%
- PhD students
- 6
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 2
- 3 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOtherVenues: Briefings in Bioinformatics, Expert Systems with Applications, Medical Image Analysis, TIP
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces4 papers
- Data management & big data1 paper
- Genomics & computational biology0 papers
- systems biology0 papers
- brain imaging0 papers
Paper list
From the lab homepage.
20262 papers
- Computers in Biology and MedicineLABMA: Latent bottleneck attention-based architecture for integration of transcriptomics, proteomics, and MRI in neurodegeneration
- Information Fusion, 135, 104426, April , IF = 15.5, DOI: https://doi.org/10.1016/j.inffus. .104426Learning brain structure-function interactions via modality-guided attention-based graph neural networks
20255 papers
- Communications Biology, 8: 1215, 13 Aug , IF = 5.2 https://www.nature.com/articles/s42003-025-08637-0Disentangling shared and unique brain functional changes associated with clinical severity and cognitive phenotypes in schizophrenia via deep learning
- Scientific ReportsDrug discovery and mechanism prediction with explainable graph neural networks
- Medical Image Analysis (T1)Interpretable modality-specific and interactive graph convolutional neural networks on brain functional and structural connectome
- Computers in Biology and MedicineTarget-aware latent diffusion model for design of apoptosis-inducing anticancer peptides
- TIP (T1)TwinsTNet: Broad-view twins transformer network for bimodal salient object detection
20243 papers
- Briefings in BioinformaticsGLDM: Hit molecule generation with constrained graph latent diffusion model
- Expert Systems with ApplicationsSelf-supervised learning for hotspot detection and isolation from thermal images
- IEEE AccessTwo-stage approach to intracranial hemorrhage segmentation from head CT images
20234 papers
- Scientific ReportsElucidating salient site-specific functional features and site-invariant biomarkers in schizophrenia via deep neural networks
- IEEE Journal of Biomedical and Health InformaticsGraph neural networks with multiple prior knowledge for multiomics data analysis
- Heylion, 9 , e22412, IF = 4.0, DOI: https://doi.org/10.1016/j.heliyon. .e22412HUT: Hybrid U-Net transformer for brain lesion and tumor segmentation
- Computers in Biology and MedicineMulti-modal graph neural network for early diagnosis of Alzheimer’s disease from sMRI and PET scans
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.