Výsledky vyhledávání - "Jakubicek, Roman"

Report

Weakly supervised deep learning-based intracranial hemorrhage localization

Autor: Nemcek, Jakub, Vicar, Tomas, Jakubicek, Roman

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 with slice-level labeling. This paper presents a weakly supervised me

Externí odkaz: http://arxiv.org/abs/2105.00781

Zobrazit plný text záznamu

Report

Localization and classification of intracranialhemorrhages in CT data

Autor: Nemcek, Jakub, Jakubicek, Roman, Chmelik, Jiri

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 ICHs, including localization, is present. The set of binary convolutio

Externí odkaz: http://arxiv.org/abs/2009.03046

Zobrazit plný text záznamu

Report

A Tool for Automatic Estimation of Patient Position in Spinal CT Data

Autor: Jakubicek, Roman, Vicar, Tomas, Chmelik, Jiri

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 rotation of CT data into a standardized (HFS) patient position. The proposed

Externí odkaz: http://arxiv.org/abs/2006.15330

Zobrazit plný text záznamu

Report

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Autor: Sekuboyina, Anjany, Husseini, Malek E., Bayat, Amirhossein, Löffler, Maximilian, Liebl, Hans, Li, Hongwei, Tetteh, Giles, Kukačka, Jan, Payer, Christian, Štern, Darko, Urschler, Martin, Chen, Maodong, Cheng, Dalong, Lessmann, Nikolas, Hu, Yujin, Wang, Tianfu, Yang, Dong, Xu, Daguang, Ambellan, Felix, Amiranashvili, Tamaz, Ehlke, Moritz, Lamecker, Hans, Lehnert, Sebastian, Lirio, Marilia, de Olaguer, Nicolás Pérez, Ramm, Heiko, Sahu, Manish, Tack, Alexander, Zachow, Stefan, Jiang, Tao, Ma, Xinjun, Angerman, Christoph, Wang, Xin, Brown, Kevin, Kirszenberg, Alexandre, Puybareau, Élodie, Chen, Di, Bai, Yiwei, Rapazzo, Brandon H., Yeah, Timyoas, Zhang, Amber, Xu, Shangliang, Hou, Feng, He, Zhiqiang, Zeng, Chan, Xiangshang, Zheng, Liming, Xu, Netherton, Tucker J., Mumme, Raymond P., Court, Laurence E., Huang, Zixun, He, Chenhang, Wang, Li-Wen, Ling, Sai Ho, Huynh, Lê Duy, Boutry, Nicolas, Jakubicek, Roman, Chmelik, Jiri, Mulay, Supriti, Sivaprakasam, Mohanasankar, Paetzold, Johannes C., Shit, Suprosanna, Ezhov, Ivan, Wiestler, Benedikt, Glocker, Ben, Valentinitsch, Alexander, Rempfler, Markus, Menze, Björn H., Kirschke, Jan S.

Publikováno v: Medical Image Analysis, Volume 73, October 2021, 102166

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 clinical decision-support systems for diagnosis, surgery planning, and p

Externí odkaz: http://arxiv.org/abs/2001.09193

Zobrazit plný text záznamu