Evangelos B Mazomenos
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Explore the profile of Evangelos B Mazomenos including associated specialties, affiliations and a list of published articles.
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20
Citations
99
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Recent Articles
1.
Xu J, Wang J, Yu L, Stoyanov D, Jin Y, Mazomenos E
IEEE Trans Biomed Eng
. 2025 Mar;
PP.
PMID: 40031065
Personalized federated learning (PFL) for surgical instrument segmentation (SIS) is a promising approach. It enables multiple clinical sites to collaboratively train a series of models in privacy, with each model...
2.
Arina P, Ferrari D, Tetlow N, Dewar A, Stephens R, Martin D, et al.
Anaesthesia
. 2025 Jan;
PMID: 39778909
Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed...
3.
Williams S, Zhou J, Muirhead W, Khan D, Koh C, Ahmed R, et al.
Ann Surg
. 2024 Oct;
PMID: 39474680
Objective: This study aimed to compare the ability of a deep-learning platform (the MACSSwin-T model) with healthcare professionals in detecting cerebral aneurysms from operative videos. Secondly, we aimed to compare...
4.
Yung K, Sivaraj J, De Coppi P, Stoyanov D, Loukogeorgakis S, Mazomenos E
IEEE Trans Biomed Eng
. 2024 Oct;
71(11):3160-3169.
PMID: 39453790
Necrotizing Enterocolitis (NEC) is a devastating condition affecting prematurely born neonates. Reviewing Abdominal X-rays (AXRs) is a key step in NEC diagnosis, staging and treatment decision-making, but poses significant challenges...
5.
Arina P, Mazomenos E, Whittle J, Singer M
Anesthesiology
. 2024 May;
141(3):616-617.
PMID: 38810020
No abstract available.
6.
Nowak F, Yung K, Sivaraj J, De Coppi P, Stoyanov D, Loukogeorgakis S, et al.
Int J Comput Assist Radiol Surg
. 2024 Apr;
19(6):1223-1231.
PMID: 38652416
Purpose: Obtaining large volumes of medical images, required for deep learning development, can be challenging in rare pathologies. Image augmentation and preprocessing offer viable solutions. This work explores the case...
7.
Hussein Z, Slack R, Baldeweg S, Mazomenos E, Marcus H
Cancers (Basel)
. 2024 Mar;
16(6).
PMID: 38539533
Post-operative tumour progression in patients with non-functioning pituitary neuroendocrine tumours is variable. The aim of this study was to use machine learning (ML) models to improve the prediction of post-operative...
8.
Xu J, Anastasiou D, Booker J, Burton O, Layard Horsfall H, Salvadores Fernandez C, et al.
Sensors (Basel)
. 2023 Nov;
23(21).
PMID: 37960645
Microsurgery serves as the foundation for numerous operative procedures. Given its highly technical nature, the assessment of surgical skill becomes an essential component of clinical practice and microsurgery education. The...
9.
Arina P, Kaczorek M, Hofmaenner D, Pisciotta W, Refinetti P, Singer M, et al.
Anesthesiology
. 2023 Nov;
140(1):85-101.
PMID: 37944114
Background: The utilization of artificial intelligence and machine learning as diagnostic and predictive tools in perioperative medicine holds great promise. Indeed, many studies have been performed in recent years to...
10.
Hussein Z, Slack R, Marcus H, Mazomenos E, Baldeweg S
Cancers (Basel)
. 2023 Jun;
15(10).
PMID: 37345108
Post-operative endocrine outcomes in patients with non-functioning pituitary adenoma (NFPA) are variable. The aim of this study was to use machine learning (ML) models to better predict medium- and long-term...