@article {albatat2022regional,
	title = {Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response},
	journal = {Annals of Biomedical Engineering},
	volume = {51},
	year = {2022},
	month = {07/2022},
	pages = {343{\textendash}351},
	publisher = {Springer},
	abstract = {Cardiac resynchronization therapy (CRT) is an effective treatment for a subgroup of heart failure (HF) patients, but more than 30\% of those selected do not improve after CRT implantation. Imperfect pre-procedural criteria for patient selection and optimization are the main causes of the high non-response rate. In this study, we evaluated a novel measure for assessing CRT response. We used a computational modeling framework to calculate the regional stress of the left ventricular wall of seven CRT patients and seven healthy controls. The standard deviation of regional wall stress at the time of mitral valve closure (SD_MVC) was used to quantify dyssynchrony and com- pared between patients and controls and among the patients. The results show that SD_MVC is significantly lower in controls than patients and correlates with long-term response in patients, based on end-diastolic volume reduction. In contrast to our initial hypothesis, patients with lower SD_MVC respond better to therapy. The patient with the highest SD_MVC was the only non-responder in the patient cohort. The distribution of fiber stress at the beginning of the isovolumetric phase seems to correlate with the degree of response and the use of this measurement could potentially improve selection criteria for CRT implantation. Further studies with a larger cohort of patients are needed to validate these results.},
	keywords = {Cardiac resynchronization therapy, Computational cardiology, electrophysiology, Heart failure},
	doi = {10.1007/s10439-022-03030-y},
	url = {https://doi.org/10.1007/s10439-022-03030-y},
	author = {Albatat, Mohammad and Finsberg, Henrik and Arevalo, Hermenegild and Sundnes, Joakim and Bergsland, Jacob and Balasingham, Ilangko and Hans Henrik {Odland}}
}
@article {27176,
	title = {Multisite pacing and myocardial scars: a computational study},
	journal = {Computer Methods in Biomechanics and Biomedical Engineering},
	volume = {23},
	year = {2020},
	month = {01/2020},
	publisher = {Taylor and Francis},
	issn = {1025-5842},
	doi = {10.1080/10255842.2020.1711885},
	url = {https://www.tandfonline.com/doi/full/10.1080/10255842.2020.1711885},
	author = {Albatat, Mohammad and Bergsland, Jacob and Arevalo, Hermenegild and Hans Henrik {Odland} and Wall, Samuel and Sundnes, Joakim and Balasingham, Ilangko}
}
@article {25292,
	title = {Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge},
	journal = {IEEE Transactions on Medical Imaging},
	year = {2017},
	pages = {1-19},
	publisher = {IEEE},
	keywords = {Endoscopic vision, Handcrafted features, Machine learning, Polyp Detection, Validation Framework},
	issn = {0278-0062},
	doi = {10.1109/TMI.2017.2664042},
	author = {Bernal, Jorge and Tajbakhsh, Nima and Sanchez, Javier and Bogdan J {Matuszewski} and Chen, Hao and Yu, Lequan and Angermann, Quentin and Romain, Olivier and Rustad, Bjorn and Balasingham, Ilangko and Pogorelov, Konstantin and Choi, Sungbin and Debard, Quentin and Maier-Hein, Lena and Speidel, Stefanie and Stoyanov, Danail and Brandao, Patrick and C{\'o}rdova, Henry and S{\'a}nchez-Montes, Cristina and Suryakanth R. {Gurudu} and Fern{\'a}ndez-Esparrach, Gloria and Dray, Xavier and Liang, Jianming and Histace, Aymeric}
}
@inproceedings {albisser2015annotation,
	title = {Expert Driven Semi-Supervised Elucidation Tool for Medical Endoscopic Videos},
	journal = {Proceedings of the 6th ACM Multimedia Systems Conference},
	year = {2015},
	month = {03/2015},
	publisher = {ACM},
	author = {Albisser, Zeno and Riegler, Michael and Halvorsen, P{\r a}l and Zhou, Jiang and Griwodz, Carsten and Balasingham, Ilangko and Gurrin, Cathal}
}
