386 citations · 387 across the 3 of their papers we have counts for
5 papers
Spinal-Multiple-Myeloma-SEG: A Dual-Energy CT Dataset Extended with Trabecular Bone Segmentation of Lumbar Vertebrae
Michal Nohel, Vlastimil Valek, Katerina Krejci +3
We present an extension of the publicly available \textit{Spinal-Multiple-Myeloma-SEG} dataset, a dual-energy CT imaging resource for multiple myeloma research. The purpose of this…
Weakly supervised deep learning-based intracranial hemorrhage localization
Jakub Nemcek, Tomas Vicar, Roman Jakubicek
Intracranial hemorrhage is a life-threatening disease, which requires fast medical intervention. Owing to the duration of data annotation, head CT images are usually available only…
Localization and classification of intracranialhemorrhages in CT data
Jakub Nemcek, Roman Jakubicek, Jiri Chmelik
Intracranial hemorrhages (ICHs) are life-threatening brain injures with a relatively high incidence. In this paper, the automatic algorithm for the detection and classification of…
A Tool for Automatic Estimation of Patient Position in Spinal CT Data
Roman Jakubicek, Tomas Vicar, Jiri Chmelik
Much of the recently available research and challenge data lack the meta-data containing any information about the patient position. This paper presents a tool for automatic rotati…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…