Publications

Abdulbaki Alshirbaji, Tamer

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017

2024

Herag Arabian, Tamer Abdulbaki Alshirbaji, James G. Chase, Knut Möller Emotion Recognition beyond Pixels : Leveraging Facial Point Landmark Meshes

2023

Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller A comparative evaluation of spatial pooling methods for surgical tool detection
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Bernhard Laufer, Paul D. Docherty, Thomas Neumuth, Knut Möller Analysing multi-perspective patient-related data during laparoscopic gynaecology procedures
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Bernhard Laufer, Paul D. Docherty, Thomas Neumuth, Knut Möller Computer-assisted generation of anaesthesia report during laparoscopic procedures
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Thomas Neumuth, Knut Möller Fusing CNN features to improve generalisability for surgical tool classification
Herag Arabian, Tamer Abdulbaki Alshirbaji, Ramona Schmid, Verena Wagner-Hartl, James G. Chase, Knut Möller Harnessing Wearable Devices for Emotional Intelligence: Therapeutic Applications in Digital Health
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, Herag Arabian, Bernhard Laufer, Sabine Krüger-Ziolek, Thomas Neumuth, Knut Möller Laparoscopic Video Analysis Using Temporal, Attention, and Multi-Feature Fusion Based-Approaches
Herag Arabian, Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Sabine Krüger-Ziolek, Knut Möller P-CSEM : An Attention Module for Improved Laparoscopic Surgical Tool Detection
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, Herag Arabian, Thomas Neumuth, Knut Möller Surgical Tool Classification & Localisation Using Attention and Multi-feature Fusion Deep Learning Approach
Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo Baltruschat, Rüdiger Schmitz, Rene Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saaed, Jose R. Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Herag Arabian, Ning Ding, Knut Möller, Weiliang Chen, Quan He, Muhammad Bilal, Taofeek Akinosho, Adnan Qayyum, Massimo Caputo, Hunaid Vohra, Michael Loizou, Anuoluwapo Ajayi, Ilhem Berrou, Faatihah Niyi-Odumosu, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc Surgical tool classification and localization : results and methods from the MICCAI 2022 SurgToolLoc challenge

2022

Nour A. Jalal, Herag Arabian, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, Thomas Neumuth, Knut Möller Analysing attention convolutional neural network for surgical tool localisation: a feasibility study
Herag Arabian, Firas Abou Dalla, Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller Attention Networks for Improving Surgical Tool Classification in Laparoscopic Videos
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller Improving the Generalisability of Deep CNNs by Combining Multi-stage Features for Surgical Tool Classification
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller Neural Network Classification of Surgical Tools in Gynecological Videos
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Thomas Neumuth, Knut Möller Spatial-temporal Modelling for Surgical Tool Classification in Cholecystectomy Videos

2021

Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, Thomas Neumuth, Knut Möller A Deep Learning Framework for Recognising Surgical Phases in Laparoscopic Videos
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos
Ning Ding, Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller Adversarial samples of a trained convolutional neural network model
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Bernhard Laufer, Paul D. Docherty, Thomas Neumuth, Knut Möller Changes of Physiological parameters of the patient during laparoscopic gynaecology
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Bernhard Laufer, Paul D. Docherty, Thomas Neumuth, Knut Möller Correlation between intra-abdominal pressure and lung mechanics during laparoscopic gynecology
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Paul D. Docherty, Thomas Neumuth, Knut Möller Cross-dataset evaluation of a CNN-based approach for surgical tool detection
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Bernhard Laufer, Paul D. Docherty, Sebastian G. Russo, Thomas Neumuth, Knut Möller Effects of Intra-Abdominal Pressure on Lung Mechanics during Laparoscopic Gynaecology

2020

Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller A convolutional neural network with a two-stage LSTM model for tool presence detection in laparoscopic videos
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Data Recording Framework for Physiological and Surgical Data in Operating Theatres
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Der vernetzte Operationssaal
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Paul D. Docherty, Thomas Neumuth, Knut Möller Surgical Tool Detection in Laparoscopic Videos by Modeling Temporal Dependencies Between Adjacent Frames
Tamer Abdulbaki Alshirbaji, N. Ding, Nour A. Jalal, Knut Möller The effect of background pattern on training a deep convolutional neural network for surgical tool detection
N. Ding, Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller The evaluation of synthetic datasets on training AlexNet for surgical tool detection

2019

Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Lars Mündermann, Knut Möller Data Recording System for Anesthesiology, Patient Monitor and Surgical Devices in Operating Rooms
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller Predicting Surgical Phases using CNN-NARX Neural Network
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Prediction of Surgery Duration from Laparoscopic Videos using Recurrent neural network

2018

Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller Evaluating Convolutional Neural Network and Hidden Markov Model for Recognising Surgical Phases in Sigmoid Resection
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Laparoscopic Instrument Classification using a Loss- Sensitive Neural Network
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller Phase recognition in laparoscopic videos: comparing Hierarchical HMM with simple HMM
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Knut Möller The effect of Hierarchical Hidden Markov Model on Phase Recognition in Laparoscopic Videos
Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Knut Möller Video-based surgical tool classification in endoscopic cholecystectomies

2017

Tamer Abdulbaki Alshirbaji, Nour A. Jalal, Lars Mündermann, Knut Möller Classifying smoke in laparoscopic videos using SVM
Nour A. Jalal, Tamer Abdulbaki Alshirbaji, Lars Mündermann, Knut Möller Features for detecting smoke in laparoscopic videos