3 papers
cs.CV2021
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…
physics.med-ph2020
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…
eess.IV2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising
Alexander Krull, Tomas Vicar, Florian Jug
Today, Convolutional Neural Networks (CNNs) are the leading method for image denoising. They are traditionally trained on pairs of images, which are often hard to obtain for practi…