Newcombe, Virginia

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Kamnitsas, K., Ledig, C., Newcombe, V. F. J., Simpson, J. P., Kane, A. D., Menon, D. K., Rueckert, D., & Glocker, B. (2017) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 3,498

Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

Maas, A. I. R., Menon, D. K., Adelson, P. D., Andelic, N., Bell, M. J., Belli, A., Bragge, P., Brazinova, A., Büki, A., Chesnut, R. M., et al. (2017) · The Lancet Neurology

Traumatic Brain Injury ResearchTraumatic Brain Injury and Neurovascular Disturbances

Cited by 2,609

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

Monteiro, M., Newcombe, V. F. J., Mathieu, F., Adatia, K., Kamnitsas, K., Ferrante, E., Das, T., Whitehouse, D., Rueckert, D., Menon, D. K., et al. (2020) · The Lancet Digital Health

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 162

Glial Fibrillary Acidic Protein and Ubiquitin C-Terminal Hydrolase-L1 as Outcome Predictors in Traumatic Brain Injury

Takala, R. S. K., Posti, J. P., Runtti, H., Newcombe, V. F., Outtrim, J., Katila, A. J., Frantzén, J., Ala-Seppälä, H., Kyllönen, A., Maanpää, H.-R., et al. (2016) · World Neurosurgery

Traumatic Brain Injury and Neurovascular DisturbancesTraumatic Brain Injury Research

Cited by 105

Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study

Åkerlund, C. A. I., Holst, A., Stocchetti, N., Steyerberg, E. W., Menon, D. K., Ercole, A., Nelson, D. W., the CENTER-TBI Participants and Investigators, Åkerlund, C., Amrein, K., et al. (2022) · Critical Care

Traumatic Brain Injury and Neurovascular DisturbancesTraumatic Brain Injury Research

Cited by 93

Magnetic resonance imaging changes in the pituitary gland following acute traumatic brain injury

Maiya, B., Newcombe, V., Nortje, J., Bradley, P., Bernard, F., Chatfield, D., Outtrim, J., Hutchinson, P., Matta, B., Antoun, N., et al. (2008) · Intensive Care Medicine

Traumatic Brain Injury and Neurovascular DisturbancesPituitary Gland Disorders and Treatments

Cited by 91

Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction

Wood, G. K., Sargent, B. F., Ahmad, Z.-U.-A., Tharmaratnam, K., Dunai, C., Egbe, F. N., Martin, N. H., Facer, B., Pendered, S. L., Rogers, H. C., et al. (2025) · Nature Medicine

Long-Term Effects of COVID-19Infectious Encephalopathies and Encephalitis

Cited by 67

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework

Rao, A., Ledig, C., Newcombe, V., Menon, D., & Rueckert, D. (2014) · 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 18

Retrospective Identification and Characterization of Traumatic Brain Injury—Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Retrospective Classification Working Group

Corrigan, J. D., Alosco, M. L., van der Naalt, J., Adams, R. S., Asken, B. M., Hinds, S., Lequerica, A. H., Newcombe, V., Tenovuo, O., Valera, E., et al. (2025) · Journal of Neurotrauma

Traumatic Brain Injury ResearchTraumatic Brain Injury and Neurovascular Disturbances

Cited by 15