output
20082026
most citedNiftyNet: a deep-learning platform for medical imaging

563 citations

Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 21 cited

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Fernando Pérez-García, Catherine Scott, Rachel Sparks +2

Detailed analysis of seizure semiology, the symptoms and signs which occur during a seizure, is critical for management of epilepsy patients. Inter-rater reliability using qualitat…

eess.IV2021★ 32 cited

A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections

Fernando Pérez-García, Reuben Dorent, Michele Rizzi +9

Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and determining follow-up treatment. Convolutional neural networks (CNNs) are the state-of-th…

q-bio.QM2021★ 2 cited

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

Thomas Booth, Bernice Akpinar, Andrei Roman +10

The aim of the systematic review was to assess recently published studies on diagnostic test accuracy of glioblastoma treatment response monitoring biomarkers in adults, developed…

cond-mat.soft2021★ 59 cited

Low Stress Ion Conductance Microscopy of Sub-Cellular Stiffness

Richard W. Clarke, Pavel Novak, Alexander Zhukov +7

Directly examining subcellular mechanics whilst avoiding excessive strain of a live cell requires the precise control of light stress on very small areas, which is fundamentally di…

astro-ph.HE2021★ 25 cited

Modelling the Multiwavelength Variability of Mrk 335 using Gaussian Processes

Ryan-Rhys Griffiths, Jiachen Jiang, Douglas J. K. Buisson +12

The optical and UV variability of the majority of AGN may be related to the reprocessing of rapidly-changing X-ray emission from a more compact region near the central black hole.…

cs.CV2021★ 11 cited

Model-based multi-parameter mapping

Yael Balbastre, Mikael Brudfors, Michela Azzarito +3

Quantitative MR imaging is increasingly favoured for its richer information content and standardised measures. However, computing quantitative parameter maps, such as those encodin…

cs.CV2021

Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation

Vien Ngoc Dang, Francesco Galati, Rosa Cortese +7

Deep learning techniques for 3D brain vessel image segmentation have not been as successful as in the segmentation of other organs and tissues. This can be explained by two factors…