Tomasz Krzywicki
Overview
Explore the profile of Tomasz Krzywicki including associated specialties, affiliations and a list of published articles.
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6
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13
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Recent Articles
1.
Grzybowski A, Peeters F, Barao R, Brona P, Rommes S, Krzywicki T, et al.
Acta Ophthalmol
. 2024 Dec;
PMID: 39655810
Purpose: To compare two artificial intelligence (AI)-based Automated Diabetic Retinopathy Image Assessment (ARIA) softwares in terms of concordance with specialist human graders and referable diabetic retinopathy (DR) diagnostic capacity. Methods:...
2.
Grzybowski A, Brona P, Krzywicki T, Ruamviboonsuk P
Ophthalmol Ther
. 2024 Nov;
14(1):73-84.
PMID: 39503992
Introduction: Automated diabetic retinopathy (DR) screening using artificial intelligence has the potential to improve access to eye care by enabling large-scale screening. However, little is known about differences in real-world...
3.
Grzybowski A, Parthasarathy Rao D, Brona P, Negiloni K, Krzywicki T, Savoy F
Ophthalmic Res
. 2023 Sep;
66(1):1286-1292.
PMID: 37757777
Introduction: Numerous studies have demonstrated the use of artificial intelligence (AI) for early detection of referable diabetic retinopathy (RDR). A direct comparison of these multiple automated diabetic retinopathy (DR) image...
4.
Krzywicki T, Brona P, Zbrzezny A, Grzybowski A
J Clin Med
. 2023 May;
12(10).
PMID: 37240693
This article provides a comprehensive and up-to-date overview of the repositories that contain color fundus images. We analyzed them regarding availability and legality, presented the datasets' characteristics, and identified labeled...
5.
Grzybowski A, Brona P, Krzywicki T, Gaca-Wysocka M, Berlinska A, Swiech A
J Clin Med
. 2022 Jun;
11(11).
PMID: 35683522
Poland has never had a widespread diabetic retinopathy (DR) screening program and subsequently has no purpose-trained graders and no established grader training scheme. Herein, we compare the performance and variability...
6.
Dyonizy A, Kaminker V, Wieckowska J, Krzywicki T, Pantaleone J, Nowak P, et al.
J Syst Chem
. 2015 Apr;
6(1):3.
PMID: 25834644
Background: Biological structures grow spontaneously from a seed, using materials supplied by the environment. These structures are hierarchical, with the 'building blocks' on each level constructed from those on the...