Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Pomykala, Kelsey"'
With the rise in importance of personalized medicine, we trained personalized neural networks to detect tumor progression in longitudinal datasets. The model was evaluated on two datasets with a total of 64 scans from 32 patients diagnosed with gliob
Externí odkaz:
http://arxiv.org/abs/2210.14228
Autor:
Heiliger, Lars, Marinov, Zdravko, Hasin, Max, Ferreira, André, Fragemann, Jana, Pomykala, Kelsey, Murray, Jacob, Kersting, David, Alves, Victor, Stiefelhagen, Rainer, Egger, Jan, Kleesiek, Jens
Tumor volume and changes in tumor characteristics over time are important biomarkers for cancer therapy. In this context, FDG-PET/CT scans are routinely used for staging and re-staging of cancer, as the radiolabeled fluorodeoxyglucose is taken up in
Externí odkaz:
http://arxiv.org/abs/2209.01112
Autor:
Ferreira, André, Li, Jianning, Pomykala, Kelsey L., Kleesiek, Jens, Alves, Victor, Egger, Jan
Publikováno v:
Medical Image Analysis, 103100 (2024)
With the massive proliferation of data-driven algorithms, such as deep learning-based approaches, the availability of high-quality data is of great interest. Volumetric data is very important in medicine, as it ranges from disease diagnoses to therap
Externí odkaz:
http://arxiv.org/abs/2207.01390
Autor:
Rempe, Moritz, Mentzel, Florian, Pomykala, Kelsey L., Haubold, Johannes, Nensa, Felix, Kröninger, Kevin, Egger, Jan, Kleesiek, Jens
Objectives: Present a novel deep learning-based skull stripping algorithm for magnetic resonance imaging (MRI) that works directly in the information rich k-space. Materials and Methods: Using two datasets from different institutions with a total of
Externí odkaz:
http://arxiv.org/abs/2205.09706
Autor:
Jin, Yuan, Pepe, Antonio, Li, Jianning, Gsaxner, Christina, Zhao, Fen-hua, Pomykala, Kelsey L., Kleesiek, Jens, Frangi, Alejandro F., Egger, Jan
The aortic vessel tree is composed of the aorta and its branching arteries, and plays a key role in supplying the whole body with blood. Aortic diseases, like aneurysms or dissections, can lead to an aortic rupture, whose treatment with open surgery
Externí odkaz:
http://arxiv.org/abs/2108.02998
Autor:
Ferreira, André, Li, Jianning, Pomykala, Kelsey L., Kleesiek, Jens, Alves, Victor, Egger, Jan
Publikováno v:
In Medical Image Analysis April 2024 93
Autor:
Rempe, Moritz, Mentzel, Florian, Pomykala, Kelsey L., Haubold, Johannes, Nensa, Felix, Kroeninger, Kevin, Egger, Jan, Kleesiek, Jens
Publikováno v:
In Computer Methods and Programs in Biomedicine January 2024 243
Autor:
Egger, Jan, Gsaxner, Christina, Pepe, Antonio, Pomykala, Kelsey L., Jonske, Frederic, Kurz, Manuel, Li, Jianning, Kleesiek, Jens
Deep learning (DL) has remarkably impacted several different scientific disciplines over the last few years. E.g., in image processing and analysis, DL algorithms were able to outperform other cutting-edge methods. Additionally, DL has delivered stat
Externí odkaz:
http://arxiv.org/abs/2010.14881
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Egger, Jan, Gsaxner, Christina, Pepe, Antonio, Pomykala, Kelsey L., Jonske, Frederic, Kurz, Manuel, Li, Jianning, Kleesiek, Jens
Publikováno v:
In Computer Methods and Programs in Biomedicine June 2022 221