Dimitrios Androutsos
Overview
Explore the profile of Dimitrios Androutsos including associated specialties, affiliations and a list of published articles.
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Articles
7
Citations
49
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0
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Recent Articles
1.
Varnava Y, Jakate K, Garnett R, Androutsos D, Tyrrell P, Khademi A
Sci Rep
. 2025 Jan;
15(1):1127.
PMID: 39775089
Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A...
2.
Razavi S, Khameneh F, Nouri H, Androutsos D, Done S, Khademi A
J Pathol Inform
. 2022 Mar;
13:100002.
PMID: 35242442
Breast cancer is the second most commonly diagnosed type of cancer among women as of 2021. Grading of histopathological images is used to guide breast cancer treatment decisions and a...
3.
Geread R, Sivanandarajah A, Brouwer E, Wood G, Androutsos D, Faragalla H, et al.
Cancers (Basel)
. 2020 Dec;
13(1).
PMID: 33375043
In this work, a novel proliferation index (PI) calculator for Ki67 images called piNET is proposed. It is successfully tested on four datasets, from three scanners comprised of patches, tissue...
4.
Nguyen N, Priola S, Ramjist J, Guha D, Dobashi Y, Lee K, et al.
J Clin Neurosci
. 2020 Jan;
72:350-356.
PMID: 31937502
Implementing pedicle safe zones with augmented reality has the potential to improve operating room workflow during pedicle screw insertion. These safe zones will allow for image guidance when tracked instruments...
5.
Nguyen N, Cardinell J, Ramjist J, Lai P, Dobashi Y, Guha D, et al.
J Clin Neurosci
. 2020 Jan;
72:392-396.
PMID: 31892493
Computer assisted navigation (CAN) is a technology which has been available for commercial use in operating rooms for quite some time now. CAN relies on the information presented in patient...
6.
Pontalba J, Gwynne-Timothy T, David E, Jakate K, Androutsos D, Khademi A
Front Bioeng Biotechnol
. 2019 Nov;
7:300.
PMID: 31737619
Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the inherent variation contained in pathology image data. Convolutional neural networks (CNN), demonstrate success in generalizing to...
7.
Geread R, Morreale P, Dony R, Brouwer E, Wood G, Androutsos D, et al.
Front Bioeng Biotechnol
. 2019 Oct;
7:226.
PMID: 31632956
Automated image analysis tools for Ki67 breast cancer digital pathology images would have significant value if integrated into diagnostic pathology workflows. Such tools would reduce the workload of pathologists, while...