Kalaiselvi Thiruvenkadam

11 papers Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
ViTCXRResNet : Harnessing Explainable Artificial Intelligence in Medical Imaging - Chest X-Ray-Based Patients Demographic Prediction.
Int. J. Imaging Syst. Technol.
Sugirdha Ranganathan, Kirubhasini Srinivasan, Sriramakrishnan Pathmanaban, Kalaiselvi Thiruvenkadam
2024 J jnl
RIBM3DU-Net: Glioma tumour substructures segmentation in magnetic resonance images using residual-inception block with modified 3D U-Net architecture.
Int. J. Imaging Syst. Technol.
Syedsafi Shajahan, Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam
2022 J jnl
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans.
Int. J. Imaging Syst. Technol.
Thiyagarajan Padmapriya, Kalaiselvi Thiruvenkadam, Venugopal Priyadharshini
2021 J jnl
An automatic self-initialized clustering method for brain tissue segmentation and pathology detection from magnetic resonance human head scans with graphics processing unit machine.
Concurr. Comput. Pract. Exp.
Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan, Padmanaban Sriramakrishnan
2021 J jnl
Fully automatic brain tumor extraction and tissue segmentation from multimodal MRI brain images.
Int. J. Imaging Syst. Technol.
Kalaiselvi Thiruvenkadam, Kalaichelvi Nagarajan
2020 J jnl
Development of automatic glioma brain tumor detection system using deep convolutional neural networks.
Int. J. Imaging Syst. Technol.
Kalaiselvi Thiruvenkadam, Thiyagarajan Padmapriya, Padmanaban Sriramakrishnan, Venugopal Priyadharshini
2019 J jnl
A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine.
Int. J. Imaging Syst. Technol.
Padmanaban Sriramakrishnan, Kalaiselvi Thiruvenkadam, Karuppana Gounder Somasundaram, Rajeswaran Rangasami
2016 J jnl
Fully automatic method for segmentation of brain tumor from multimodal magnetic resonance images using wavelet transformation and clustering technique.
Int. J. Imaging Syst. Technol.
Kalaiselvi Thiruvenkadam, Nagaraja Perumal
2015 J jnl
A rapid automatic brain tumor detection method for MRI images using modified minimum error thresholding technique.
Int. J. Imaging Syst. Technol.
Kalaiselvi Thiruvenkadam, Nagaraja Perumal
2009 — conf
A Comparative Study of Segmentation Techniques used for MR Brain Images.
IPCV
Somasundaram Karuppanagounder, Kalaiselvi Thiruvenkadam
2009 — conf
A Novel Technique for Finding the Boundary between the Cerebral Hemispheres from MR Axial Head Scans.
IICAI
Somasundaram Karuppanagounder, Kalaiselvi Thiruvenkadam