12 citations · 20 across the 8 of their papers we have counts for
8 papers
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma
Navodini Wijethilake, Steve Connor, Anna Oviedova +3
Vestibular Schwannoma is a benign brain tumour that grows from one of the balance nerves. Patients may be treated by surgery, radiosurgery or with a conservative "wait-and-scan" st…
DEEP: Deep Learning Powered De-scattering with Excitation Patterning
Navodini Wijethilake, Mithunjha Anandakumar, Cheng Zheng +3
Limited throughput is a key challenge in in-vivo deep-tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current gold standard, is slow e…
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma
Navodini Wijethilake, Aaron Kujawa, Reuben Dorent +4
Vestibular Schwannoma (VS) typically grows from the inner ear to the brain. It can be separated into two regions, intrameatal and extrameatal respectively corresponding to being in…
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Mobarakol Islam, Navodini Wijethilake, Hongliang Ren
The accurate prognosis of Glioblastoma Multiforme (GBM) plays an essential role in planning correlated surgeries and treatments. The conventional models of survival prediction rely…
Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
Mobarakol Islam, Vibashan VS, V Jeya Maria Jose +3
In this work, we develop an attention convolutional neural network (CNN) to segment brain tumors from Magnetic Resonance Images (MRI). Further, we predict the survival rate using v…
A Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis
Ashwin De Silva, Malsha V. Perera, Navodini Wijethilake +3
Systemic diseases such as diabetes, hypertension, atherosclerosis are among the leading causes of annual human mortality rate. It is suggested that retinal and conjunctival vascula…
Survival prediction and risk estimation of Glioma patients using mRNA expressions
Navodini Wijethilake, Dulani Meedeniya, Charith Chitraranjan +1
Gliomas are lethal type of central nervous system tumors with a poor prognosis. Recently, with the advancements in the micro-array technologies thousands of gene expression related…
Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya +3
Glioblastoma is the most malignant type of central nervous system tumor with GBM subtypes cleaved based on molecular level gene alterations. These alterations are also happened to…