Search Results - "Wijethilake, Navodini"

Radiogenomics model for overall survival prediction of glioblastoma by Wijethilake, Navodini, Islam, Mobarakol, Ren, Hongliang

“…Glioblastoma multiforme (GBM) is a very aggressive and infiltrative brain tumor with a high mortality rate. There are radiomic models with handcrafted features…”
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Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review by Wijethilake, Navodini, MacCormac, Oscar, Vercauteren, Tom, Shapey, Jonathan

“…Extra-axial brain tumors are extra-cerebral tumors and are usually benign. The choice of treatment for extra-axial tumors is often dependent on the growth of…”
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Glioma Survival Analysis Empowered With Data Engineering-A Survey by Wijethilake, Navodini, Meedeniya, Dulani, Chitraranjan, Charith, Perera, Indika, Islam, Mobarakol, Ren, Hongliang

“…Survival analysis is a critical task in glioma patient management due to the inter and intra tumor heterogeneity. In clinical practice, clinicians estimate the…”
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DEEP-squared: deep learning powered De-scattering with Excitation Patterning by Wijethilake, Navodini, Anandakumar, Mithunjha, Zheng, Cheng, So, Peter T. C., Yildirim, Murat, Wadduwage, Dushan N.

“…Limited throughput is a key challenge in in vivo deep tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current…”
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Identifying risk factors of intracerebral hemorrhage stability using explainable attention model by Rangaraj, Seshasayi, Islam, Mobarakol, VS, Vibashan, Wijethilake, Navodini, Uppal, Utkarsh, See, Angela An Qi, Chan, Jasmine, James, Michael Lucas, King, Nicolas Kon Kam, Ren, Hongliang

“…Segmentation of intracerebral hemorrhage (ICH) helps improve the quality of diagnosis, draft the desired treatment methods, and clinically observe the…”
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Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI by Kujawa, Aaron, Dorent, Reuben, Connor, Steve, Thomson, Suki, Ivory, Marina, Vahedi, Ali, Guilhem, Emily, Wijethilake, Navodini, Bradford, Robert, Kitchen, Neil, Bisdas, Sotirios, Ourselin, Sebastien, Vercauteren, Tom, Shapey, Jonathan

“…Automatic segmentation of vestibular schwannoma (VS) from routine clinical MRI has potential to improve clinical workflow, facilitate treatment decisions, and…”
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Glioblastoma multiforme prognosis: MRI missing modality generation, segmentation and radiogenomic survival prediction by Islam, Mobarakol, Wijethilake, Navodini, Ren, Hongliang

“…[Display omitted] •Propose an FCN architecture using octave partial convolution and skip connection with scSE (skip-scSE).•Design a novel decoder efficiently…”
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Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction by Islam, Mobarakol, Wijethilake, Navodini, Ren, Hongliang

“…The accurate prognosis of Glioblastoma Multiforme (GBM) plays an essential role in planning correlated surgeries and treatments. The conventional models of…”
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Survival prediction and risk estimation of Glioma patients using mRNA expressions by Wijethilake, Navodini, Meedeniya, Dulani, Chitraranjan, Charith, Perera, Indika

“…Gliomas are lethal type of central nervous system tumors with a poor prognosis. Recently, with the advancements in the micro-array technologies thousands of…”
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A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma by Wijethilake, Navodini, Connor, Steve, Oviedova, Anna, Burger, Rebecca, Vercauteren, Tom, Shapey, Jonathan

“…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…”
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DEEP$^2$: Deep Learning Powered De-scattering with Excitation Patterning by Wijethilake, Navodini, Anandakumar, Mithunjha, Zheng, Cheng, So, Peter T. C, Yildirim, Murat, Wadduwage, Dushan N

“…Limited throughput is a key challenge in in-vivo deep-tissue imaging using nonlinear optical microscopy. Point scanning multiphoton microscopy, the current…”
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Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma by Wijethilake, Navodini, Kujawa, Aaron, Dorent, Reuben, Asad, Muhammad, Oviedova, Anna, Vercauteren, Tom, Shapey, Jonathan

“…Vestibular Schwannoma (VS) typically grows from the inner ear to the brain. It can be separated into two regions, intrameatal and extrameatal respectively…”
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Survival prediction and risk estimation of Glioma patients using mRNA expressions by Wijethilake, Navodini, Meedeniya, Dulani, Chitraranjan, Charith, Perera, Indika

“…Gliomas are lethal type of central nervous system tumors with a poor prognosis. Recently, with the advancements in the micro-array technologies thousands of…”
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Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet by Islam, Mobarakol, VS, Vibashan, Jose, V Jeya Maria, Wijethilake, Navodini, Utkarsh, Uppal, Ren, Hongliang

“…In this work, we develop an attention convolutional neural network (CNN) to segment brain tumors from Magnetic Resonance Images (MRI). Further, we predict the…”
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A Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis by De Silva, Ashwin, Perera, Malsha V, Wijethilake, Navodini, Jayasinghe, Saroj, Nanayakkara, Nuwan D, De Silva, Anjula

“…Systemic diseases such as diabetes, hypertension, atherosclerosis are among the leading causes of annual human mortality rate. It is suggested that retinal and…”
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Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes by Wijethilake, Navodini, Islam, Mobarakol, Meedeniya, Dulani, Chitraranjan, Charith, Perera, Indika, Ren, Hongliang

“…Glioblastoma is the most malignant type of central nervous system tumor with GBM subtypes cleaved based on molecular level gene alterations. These alterations…”
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