scispace - formally typeset
N

Neil D. Kitchen

Researcher at University of Kent

Publications -  29
Citations -  1296

Neil D. Kitchen is an academic researcher from University of Kent. The author has contributed to research in topics: Segmentation & Deep learning. The author has an hindex of 17, co-authored 29 publications receiving 1172 citations. Previous affiliations of Neil D. Kitchen include University College London.

Papers
More filters
Journal ArticleDOI

Postimaging brain distortion: magnitude, correlates, and impact on neuronavigation

TL;DR: This study quantified intraoperative brain distortion, determined the different behavior of tumors in four pathological groups, and identified preoperative predictors of shift with which the reliability of neuronavigation may be estimated.
Journal ArticleDOI

Supratentorial cavernous haemangiomas and epilepsy: a review of the literature and case series

TL;DR: The good surgical results, particularly in cases treated earlier, and the significant cumulative haemorrhage rate, suggest that excision is the optimum treatment, however, these factors have not been examined prospectively and the optimumreatment will only be determined by a prospective study.
Book ChapterDOI

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

TL;DR: A semantically-informed generalisation of the Dice score for multi-class segmentation based on the Wasserstein distance on the probabilistic label space is proposed and a holistic CNN that embeds spatial information at multiple scales with deep supervision is proposed.
Journal ArticleDOI

Intracerebral haemorrhage and drug abuse in young adults.

TL;DR: A thorough history focusing on the use of illicit substances and toxicological screening of urine and serum should be part of the evaluation of any young patient with a stroke, as well as any young patients with nontraumatic ICH.
Journal ArticleDOI

Is there a difference in outcomes of patients with idiopathic intracranial hypertension with the choice of cerebrospinal fluid diversion site: a single centre experience.

TL;DR: Predicting which patients will improve is not possible at present but patients with VPS have less complications and revisions than those receiving a LPS, however the difference is not statistically significant.