A Deep Learning-Based Diagnosis System for COVID-19 Detection and Pneumonia Screening Using CT Imaging

Autor: Ramzi Mahmoudi, Narjes Benameur, Rania Mabrouk, Mazin Abed Mohammed, Begonya Garcia-Zapirain, Mohamed Hedi Bedoui

Publikováno v: Applied Sciences, Vol 12, Iss 10, p 4825 (2022)

Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a global threat impacting the lives of millions of people worldwide. Automated detection of lung infections from Computed Tomography scans represents an excellent alternative

Externí odkaz: https://doaj.org/article/548546782d73436d838dd773ba5d3133

Deep Learning in Medical Imaging

Autor: Narjes, Benameur, Ramzi, Mahmoudi

Medical image processing tools play an important role in clinical routine in helping doctors to establish whether a patient has or does not have a certain disease. To validate the diagnosis results, various clinical parameters must be defined. In thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=intech______::587a6f0e6c822cef9ddd9a6f6145be9b
https://mts.intechopen.com/articles/show/title/deep-learning-in-medical-imaging

A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI

Autor: Ramzi Mahmoudi, Mohamed Hedi Bedoui, Asma Ammari, Badii Hmida, Rachida Saouli

Publikováno v: IET Image Processing, Vol 15, Iss 9, Pp 1845-1868 (2021)
IET Image Processing
IET Image Processing, Institution of Engineering and Technology, In press, ⟨10.1049/ipr2.12165⟩

The right ventricular assessment is crucial to heart disease diagnosis. Unfortunately, its segmentation is quite challenging due to its intricate shape, ill‐defined thin edges, large variability among patients, and pathologies. Besides, it is a ver

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07a7228adfac84fc1c946fd41f732a8
https://doaj.org/article/88708349701147a894af2565b18452f4

Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset

Autor: Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Maatouk Mezri, Rachida Saouli, Mohamed Hédi Bedoui

Publikováno v: SN Computer Science. 3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4887ecc715472b44c27e36bd619f4556
https://doi.org/10.1007/s42979-022-01144-7

Assessment of the relationship between regional wall motion abnormality score revealed by parametric imaging and the extent of LGE with CMR

Autor: Narjes Benameur, Ramzi Mahmoudi, Enrico Gianluca Caiani, Younes Arous, Foued Saâdaoui, Halima Mahjoubi

Publikováno v: Clinical imaging. 89

The aim of this study was to assess the relationship between left ventricular (LV) regional myocardial wall motion abnormality (WMA), revealed by visual interpretation of cardiac magnetic resonance (CMR) cine images together with the computed wall mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::580637f91d5b06c800cbb8b22574ecd5
https://pubmed.ncbi.nlm.nih.gov/35732080