Danail Stoyanov
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Explore the profile of Danail Stoyanov including associated specialties, affiliations and a list of published articles.
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210
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1839
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Recent Articles
1.
De Carvalho T, Kader R, Brandao P, Lovat L, Mountney P, Stoyanov D
Int J Comput Assist Radiol Surg
. 2025 Mar;
PMID: 40075052
Purpose: Colorectal cancer is one of the most prevalent cancers worldwide, highlighting the critical need for early and accurate diagnosis to reduce patient risks. Inaccurate diagnoses not only compromise patient...
2.
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...
3.
Ghamrawi W, Curtis N, Xu J, Boal M, Mazomenos E, Edwards E, et al.
Sci Data
. 2025 Jan;
12(1):180.
PMID: 39885139
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We established an association between skills and patient outcomes. The evolving application of artificial intelligence techniques could...
4.
Das A, Sidiqi B, Mennillo L, Mao Z, Brudfors M, Xochicale M, et al.
Healthc Technol Lett
. 2024 Dec;
11(6):336-344.
PMID: 39720762
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain-specific expertise. Automated data-driven metrics can alleviate these difficulties, as demonstrated by...
5.
Wijekoon A, Das A, Herrera R, Khan D, Hanrahan J, Carter E, et al.
Healthc Technol Lett
. 2024 Dec;
11(6):318-326.
PMID: 39720757
Accurate intra-operative Remaining Surgery Duration (RSD) predictions allow for anaesthetists to more accurately decide when to administer anaesthetic agents and drugs, as well as to notify hospital staff to send...
6.
Czempiel T, Roddan A, Leiloglou M, Hu Z, ONeill K, Anichini G, et al.
Healthc Technol Lett
. 2024 Dec;
11(6):307-317.
PMID: 39720751
This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in-house neurosurgery dataset. Various...
7.
Khan D, Valetopoulou A, Das A, Hanrahan J, Williams S, Bano S, et al.
NPJ Digit Med
. 2024 Nov;
7(1):314.
PMID: 39521895
Pituitary tumours are surrounded by critical neurovascular structures and identification of these intra-operatively can be challenging. We have previously developed an AI model capable of sellar anatomy segmentation. This study...
8.
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...
9.
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...
10.
Foti S, Rickart A, Koo B, O Sullivan E, van de Lande L, Papaioannou A, et al.
Comput Methods Programs Biomed
. 2024 Aug;
256:108395.
PMID: 39213899
Background And Objective: The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of...