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Stefan P Haider

Showing results (21-30 of 32) with videos related to

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Diagnostics (Basel, Switzerland)|January 8, 2025
Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)Fiona Dierksen, Jakob K Sommer, Anh T Tran, et al.
European Radiology|January 13, 2024
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomicsMoritz Gross, Steffen Huber, Sandeep Arora, et al.
AJR. American Journal of Roentgenology|August 17, 2022
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept StudySimon Iseke, Tal Zeevi, Ahmet S Kucukkaya, et al.
NPJ Digital Medicine|February 6, 2024
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scanAnh T Tran, Tal Zeevi, Stefan P Haider, et al.
Diagnostics (Basel, Switzerland)|March 13, 2024
Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion StrokeEmily W Avery, Anthony Abou-Karam, Sandra Abi-Fadel, et al.
European Journal of Neurology|June 30, 2021
Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH-2 trial intracerebral hemorrhage populationStefan P Haider, Adnan I Qureshi, Abhi Jain, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|September 27, 2021
The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volumeStefan P Haider, Adnan I Qureshi, Abhi Jain, et al.
Data in Brief|September 5, 2022
Dataset on acute stroke risk stratification from CT angiographic radiomicsEmily W Avery, Jonas Behland, Adrian Mak, et al.
Journal of Vascular and Interventional Radiology : JVIR|April 23, 2022
MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic FeaturesAlexandra Petukhova-Greenstein, Tal Zeevi, Junlin Yang, et al.
Neuroimage. Clinical|May 13, 2022
CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion strokeEmily W Avery, Jonas Behland, Adrian Mak, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Diagnostics (Basel, Switzerland)|January 8, 2025
Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)Fiona Dierksen, Jakob K Sommer, Anh T Tran, et al.
European Radiology|January 13, 2024
Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomicsMoritz Gross, Steffen Huber, Sandeep Arora, et al.
AJR. American Journal of Roentgenology|August 17, 2022
Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept StudySimon Iseke, Tal Zeevi, Ahmet S Kucukkaya, et al.
NPJ Digital Medicine|February 6, 2024
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scanAnh T Tran, Tal Zeevi, Stefan P Haider, et al.
Diagnostics (Basel, Switzerland)|March 13, 2024
Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion StrokeEmily W Avery, Anthony Abou-Karam, Sandra Abi-Fadel, et al.
European Journal of Neurology|June 30, 2021
Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH-2 trial intracerebral hemorrhage populationStefan P Haider, Adnan I Qureshi, Abhi Jain, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|September 27, 2021
The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volumeStefan P Haider, Adnan I Qureshi, Abhi Jain, et al.
Data in Brief|September 5, 2022
Dataset on acute stroke risk stratification from CT angiographic radiomicsEmily W Avery, Jonas Behland, Adrian Mak, et al.
Journal of Vascular and Interventional Radiology : JVIR|April 23, 2022
MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic FeaturesAlexandra Petukhova-Greenstein, Tal Zeevi, Junlin Yang, et al.
Neuroimage. Clinical|May 13, 2022
CT angiographic radiomics signature for risk stratification in anterior large vessel occlusion strokeEmily W Avery, Jonas Behland, Adrian Mak, et al.
Pageof 4