Aaron Kujawa
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Explore the profile of Aaron Kujawa including associated specialties, affiliations and a list of published articles.
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12
Citations
124
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Recent Articles
1.
Shi T, Kujawa A, Linares C, Vercauteren T, Booth T
Neuro Oncol
. 2025 Feb;
PMID: 39935398
Background: Longitudinal assessment of tumor burden using imaging helps to determine whether there has been a response to treatment both in trial and real-world settings. From a patient and clinical...
2.
Li J, Zhou Z, Yang J, Pepe A, Gsaxner C, Luijten G, et al.
Biomed Tech (Berl)
. 2024 Dec;
70(1):71-90.
PMID: 39733351
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface...
3.
Kujawa A, Dorent R, Connor S, Thomson S, Ivory M, Vahedi A, et al.
Front Comput Neurosci
. 2024 May;
18:1365727.
PMID: 38784680
Automatic segmentation of vestibular schwannoma (VS) from routine clinical MRI has potential to improve clinical workflow, facilitate treatment decisions, and assist patient management. Previous work demonstrated reliable automatic segmentation performance...
4.
Kujawa A, Dorent R, Connor S, Oviedova A, Okasha M, Grishchuk D, et al.
Front Radiol
. 2023 Jul;
2:837191.
PMID: 37492670
Objective: The Koos grading scale is a frequently used classification system for vestibular schwannoma (VS) that accounts for extrameatal tumor dimension and compression of the brain stem. We propose an...
5.
Dorent R, Kujawa A, Ivory M, Bakas S, Rieke N, Joutard S, et al.
Med Image Anal
. 2022 Oct;
83:102628.
PMID: 36283200
Domain Adaptation (DA) has recently been of strong interest in the medical imaging community. While a large variety of DA techniques have been proposed for image segmentation, most of these...
6.
Shapey J, Kujawa A, Dorent R, Wang G, Dimitriadis A, Grishchuk D, et al.
Sci Data
. 2021 Oct;
8(1):286.
PMID: 34711849
Automatic segmentation of vestibular schwannomas (VS) from magnetic resonance imaging (MRI) could significantly improve clinical workflow and assist patient management. We have previously developed a novel artificial intelligence framework based...
7.
Shapey J, Kujawa A, Dorent R, Saeed S, Kitchen N, Obholzer R, et al.
World Neurosurg
. 2021 May;
149:269-270.
PMID: 33940676
No abstract available.
8.
Demetriou E, Kujawa A, Golay X
Prog Nucl Magn Reson Spectrosc
. 2020 Nov;
120-121:25-71.
PMID: 33198968
Within the field of NMR spectroscopy, the study of chemical exchange processes through saturation transfer techniques has a long history. In the context of MRI, chemical exchange techniques have been...
9.
Kim M, Kujawa A, Battiston M, Demetriou E, Schneider T, Collorone S, et al.
Magn Reson Med
. 2020 Mar;
84(4):1734-1746.
PMID: 32112451
Purpose: To translate the recently developed PRO-QUEST (Progressive saturation for quantifying exchange rates using saturation times) sequence from preclinical 9.4T to 3T clinical magnetic field strength. Methods: Numerical simulations were...
10.
Kim M, Torrealdea F, Adeleke S, Rega M, Evans V, Beeston T, et al.
Quant Imaging Med Surg
. 2019 Nov;
9(10):1628-1640.
PMID: 31728307
Background: The aim of this study was to translate dynamic glucose enhancement (DGE) body magnetic resonance imaging (MRI) based on the glucose chemical exchange saturation transfer (glucoCEST) signal to a...