Výsledky vyhledávání - "Abdulbaki Alshirbaji Tamer"

Akademický článek

Computer-assisted generation of anaesthesia report during laparoscopic procedures

Autor: Aldeen Jalal Nour, Abdulbaki Alshirbaji Tamer, Laufer Bernhard, Docherty Paul D., Neumuth Thomas, Moeller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 463-466 (2023)

Automatic generation of intraoperative anaesthesia reports has great potential to generate accurate and efficient documentation and allow the anaesthesiologists to utilise their time more optimally. However, automatically generating anaesthesia repor

Externí odkaz: https://doaj.org/article/24666c5356fb4ca395ef7186fbda1236

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Akademický článek

A comparative evaluation of spatial pooling methods for surgical tool detection

Autor: Abdulbaki Alshirbaji Tamer, Aldeen Jalal Nour, Docherty Paul D., Neumuth Thomas, Moeller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 214-217 (2023)

Surgical tool detection is an important aspect for recognising surgical activities and understanding surgical workflow. Laparoscopic videos represent an information source that can be used for recognising surgical tools. However, manual labelling of

Externí odkaz: https://doaj.org/article/b57a70895cd24b59b38d4792b2f96328

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Akademický článek

Analysing attention convolutional neural network for surgical tool localisation: a feasibility study

Autor: Jalal Nour Aldeen, Arabian Herag, Abdulbaki Alshirbaji Tamer, Docherty Paul D., Neumuth Thomas, Moeller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 548-551 (2022)

Image-based surgical tool localisation and detection play an important role in developing intelligent systems for operating theatres of the future. In literature, proposed approaches require large amounts of data that are fully annotated with tool po

Externí odkaz: https://doaj.org/article/ae354e94173646d2bb94f7091ddaee13

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Akademický článek

Neural Network Classification of Surgical Tools in Gynecological Videos

Autor: Abdulbaki Alshirbaji Tamer, Aldeen Jalal Nour, Docherty Paul D., Neumuth Thomas, Moeller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 644-647 (2022)

Automated surgical tool classification will improve the workflow of surgery. Previous research tackled this task mainly in cholecystectomy procedures due to availability of a relatively large and labelled set (Cholec80 dataset). However, the complexi

Externí odkaz: https://doaj.org/article/cb37d4a97e01471a8da860242c15aca7

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Akademický článek

Data Recording Framework for Physiological and Surgical Data in Operating Theatres

Autor: Abdulbaki Alshirbaji Tamer, Aldeen Jalal Nour, Möller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 364-367 (2020)

Integrated operating rooms typically connect medical devices providing the clinical user a complete control over environment, device setting and digital management of intervention-related data. Consequently, the opportunity to analyse and present dat

Externí odkaz: https://doaj.org/article/55fa251503964d65a3807c552792e6e9

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Akademický článek

Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network

Autor: Abdulbaki Alshirbaji Tamer, Jalal Nour Aldeen, Möller Knut

Publikováno v: Current Directions in Biomedical Engineering, Vol 4, Iss 1, Pp 407-410 (2018)

Laparoscopic videos are a very important source of information which is inherently available in minimally invasive surgeries. Detecting surgical tools based on that videos have gained increasing interest due to its importance in developing a context-

Externí odkaz: https://doaj.org/article/d29cd69bb8884da088cb965e31ebf556

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