By Mr Deshan Kalupahana

Book Chapters

Vijithananda SM; Jayatilake ML; Weerakoon BS; Wathsala PGS; Thevapriya S; Thasanky S; Kalupahana TD; Wijerathne TK, 2019, 'Skewness and Kurtosis of Apparent Diffusion Coefficient in Human Brain Lesions to Distinguish Benign and Malignant Using MRI', in , pp. 189 - 199, http://dx.doi.org/10.1007/978-981-13-9184-2_17

Journal articles

Mohamed H; Kathriarachchi SK; Kahatapitiya NS; Silva BN; Kalupahana D; Edirisinghe S; Wijenayake U; Ravichandran NK; Wijesinghe RE, 2024, 'Early-Stage Prototype Assessment of Cost-Effective Non-Intrusive Wearable Device for Instant Home Fetal Movement and Distress Detection: A Pilot Study', Diagnostics, 14, http://dx.doi.org/10.3390/diagnostics14171938

Kalupahana D; Kahatapitiya NS; Silva BN; Kim J; Jeon M; Wijenayake U; Wijesinghe RE, 2024, 'Dense Convolutional Neural Network-Based Deep Learning Pipeline for Pre-Identification of Circular Leaf Spot Disease of Diospyros kaki Leaves Using Optical Coherence Tomography', Sensors, 24, http://dx.doi.org/10.3390/s24165398

Kalupahana D; Kahatapitiya NS; Kamalathasan D; Wijesinghe RE; Silva BN; Wijenayake U, 2024, 'State-of-the-Art of Deep Learning in Multidisciplinary Optical Coherence Tomography Applications', IEEE Access, 12, pp. 164462 - 164490, http://dx.doi.org/10.1109/ACCESS.2024.3492389

Vijithananda SM; Jayatilake ML; Gonçalves TC; Rato LM; Weerakoon BS; Kalupahana TD; Silva AD; Dissanayake K; Hewavithana PB, 2023, 'Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-41353-5

Vijithananda SM; Jayatilake ML; Hewavithana B; Gonçalves T; Rato LM; Weerakoon BS; Kalupahana TD; Silva AD; Dissanayake KD, 2022, 'Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques', Biomedical Engineering Online, 21, http://dx.doi.org/10.1186/s12938-022-01022-6

Conference Papers

Kalupahana D; Singh S; Ravindran P; Sowmya A, 2026, 'Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI61048.2026.11515927

Kahatapitiya NS; Kalupahana D; Mohamed H; Silva BN; Wijenayake U; Han S; Seong D; Jeon M; Kim J; Wijesinghe RE, 2024, 'Detection of Peak Intensity Using an Integrated Optical Modeling Method for Identifying Defective Apple Leaves †', in Engineering Proceedings, http://dx.doi.org/10.3390/ecsa-11-20515

Preprints

Vijithananda SM; Mohan L. Jayatilake M; Gonçalves T; Hewavithana B; Rato L; Weerakoon BS; Kalupahana T; De Silva A; Dissanayake K, 2022, GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques, http://dx.doi.org/10.36227/techrxiv.20624406

Vijithananda SM; Jayatilake ML; Hewavithana B; Gonçalves T; Rato LM; Weerakoon BS; Kalupahana TD; Silva AD; Dissanayake KD, Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques, http://dx.doi.org/10.21203/rs.3.rs-1186157/v2

Vijithananda SM; Jayatilake MML; Gonçalves T; Hewavithana B; Rato L; Weerakoon BS; Kalupahana T; Silva AD; Dissanayake K, GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques, http://dx.doi.org/10.36227/techrxiv.20624406.v1

Vijithananda SM; Jayatilake MML; Gonçalves TC; Hewavithana B; Rato LM; Weerakoon BS; Kalupahana TD; Silva AD; Dissanayake K, Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques., http://dx.doi.org/10.21203/rs.3.rs-2193959/v1

Back to profile page