Search Results - "Meddeb, Aymen"

Deep learning-enabled detection of hypoxic-ischemic encephalopathy after cardiac arrest in CT scans: a comparative study of 2D and 3D approaches by Molinski, Noah S, Kenda, Martin, Leithner, Christoph, Nee, Jens, Storm, Christian, Scheel, Michael, Meddeb, Aymen

“…To establish a deep learning model for the detection of hypoxic-ischemic encephalopathy (HIE) features on CT scans and to compare various networks to determine…”
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Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen by Meddeb, Aymen, Kossen, Tabea, Bressem, Keno K, Hamm, Bernd, Nagel, Sebastian N

“…The aim of this study was to develop a deep learning-based algorithm for fully automated spleen segmentation using CT images and to evaluate the performance in…”
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Combined CT-guided high-dose-rate brachytherapy (CT-HDRBT) and transarterial chemoembolization with irinotecan-loaded microspheres improve local tumor control and progression-free survival in patients with unresectable colorectal liver metastases compared with mono-CT-HDRBT by Friedrich, Stefanie, Busch, Felix, Jonczyk, Martin, Wieners, Gero, Böning, Georg, Lüdemann, Willie Magnus, Meddeb, Aymen, Collettini, Federico, Gebauer, Bernhard

“…To compare the effectivity and toxicity of monotherapy with computed tomography-guided high-dose-rate brachytherapy (CT-HDRBT) vs. combination therapy of…”
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Feasibility and Safety of CT-Guided High-Dose-Rate Brachytherapy Combined with Transarterial Chemoembolization Using Irinotecan-Loaded Microspheres for the Treatment of Large, Unresectable Colorectal Liver Metastases by Collettini, Federico, Jonczyk, Martin, Meddeb, Aymen, Wieners, Gero, Geisel, Dominik, Schnapauff, Dirk, Gebauer, Bernhard

“…To evaluate feasibility and safety of combined irinotecan chemoembolization and CT-guided high-dose-rate brachytherapy (HDRBT) in patients with unresectable…”
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Comment on “Machine Learning for Early Detection of Hypoxic‑ischemic Brain Injury After Cardiac Arrest” by Molinski, Noah S., Meddeb, Aymen, Kenda, Martin, Scheel, Michael

“…The natural images from ImageNet differ in many aspects from clinical imaging data: image shape, colors, resolution, and dimension. [...]the network is trained…”
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Two-Stage Deep Learning Model for Automated Segmentation and Classification of Splenomegaly by Meddeb, Aymen, Kossen, Tabea, Bressem, Keno K, Molinski, Noah, Hamm, Bernd, Nagel, Sebastian N

“…Splenomegaly is a common cross-sectional imaging finding with a variety of differential diagnoses. This study aimed to evaluate whether a deep learning model…”
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A comparative study of bypass versus percutaneous intervention for left main disease by Slim, Mehdi, Meddeb, Mohamed Aymen, Neffati, Elies, Ghardallou, Houda, Lagren, Afef, Tarmiz, Amine, Kortas, Chokri, Gribaa, Rym, Boughzela, Essia

“…Left main coronary artery disease is known as the highest risk lesion subset of ischemic heart disease. Several studies have shown a significant benefit…”
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