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Dmitriy Desser

Showing results (1-10 of 10) with videos related to

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Brain Sciences|September 28, 2021
Automatic Segmentation of the Olfactory BulbDmitriy Desser, Francisca Assunção, Xiaoguang Yan, et al.
Tomography (Ann Arbor, Mich.)|January 17, 2023
Multilesion Segmentations in Patients with Intracerebral Hemorrhage: Reliability of ICH, IVH and PHE MasksEstelle Vogt, Ly Huong Vu, Haoyin Cao, et al.
Journal of Alzheimer'S Disease : JAD|June 13, 2022
Training with Odors Impacts Hippocampal Thickness in Patients with Mild Cognitive ImpairmentAntje Haehner, Ben Chen, Melanie Espin, et al.
Journal of Clinical Medicine|June 28, 2023
External Validation and Retraining of DeepBleed: The First Open-Source 3D Deep Learning Network for the Segmentation of Spontaneous Intracerebral and Intraventricular HemorrhageHaoyin Cao, Andrea Morotti, Federico Mazzacane, et al.
Journal of Neurointerventional Surgery|August 2, 2024
Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic strokeAymen Meddeb, Philipe Ebert, Keno Kyrill Bressem, et al.
Applied Sciences (Basel, Switzerland)|March 6, 2025
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed TomographyAnh T Tran, Dmitriy Desser, Tal Zeevi, et al.
Tomography (Ann Arbor, Mich.)|December 22, 2022
Diagnostic Accuracy and Reliability of Noncontrast Computed Tomography Markers for Acute Hematoma Expansion among RadiologistsHawra Almubarak, Sarah Elsayed, Federico Mazzacane, et al.
European Radiology|July 19, 2023
Correction to: Non-contrast computed tomography features predict intraventricular hemorrhage growthJawed Nawabi, Frieder Schlunk, Andrea Dell'Orco, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve ConfidenceAnh T Tran, Dmitriy Desser, Tal Zeevi, et al.
European Radiology|May 22, 2023
Non-contrast computed tomography features predict intraventricular hemorrhage growthJawed Nawabi, Frieder Schlunk, Andrea Dell'Orco, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Brain Sciences|September 28, 2021
Automatic Segmentation of the Olfactory BulbDmitriy Desser, Francisca Assunção, Xiaoguang Yan, et al.
Tomography (Ann Arbor, Mich.)|January 17, 2023
Multilesion Segmentations in Patients with Intracerebral Hemorrhage: Reliability of ICH, IVH and PHE MasksEstelle Vogt, Ly Huong Vu, Haoyin Cao, et al.
Journal of Alzheimer'S Disease : JAD|June 13, 2022
Training with Odors Impacts Hippocampal Thickness in Patients with Mild Cognitive ImpairmentAntje Haehner, Ben Chen, Melanie Espin, et al.
Journal of Clinical Medicine|June 28, 2023
External Validation and Retraining of DeepBleed: The First Open-Source 3D Deep Learning Network for the Segmentation of Spontaneous Intracerebral and Intraventricular HemorrhageHaoyin Cao, Andrea Morotti, Federico Mazzacane, et al.
Journal of Neurointerventional Surgery|August 2, 2024
Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic strokeAymen Meddeb, Philipe Ebert, Keno Kyrill Bressem, et al.
Applied Sciences (Basel, Switzerland)|March 6, 2025
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed TomographyAnh T Tran, Dmitriy Desser, Tal Zeevi, et al.
Tomography (Ann Arbor, Mich.)|December 22, 2022
Diagnostic Accuracy and Reliability of Noncontrast Computed Tomography Markers for Acute Hematoma Expansion among RadiologistsHawra Almubarak, Sarah Elsayed, Federico Mazzacane, et al.
European Radiology|July 19, 2023
Correction to: Non-contrast computed tomography features predict intraventricular hemorrhage growthJawed Nawabi, Frieder Schlunk, Andrea Dell'Orco, et al.
Bioengineering (Basel, Switzerland)|January 8, 2025
A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve ConfidenceAnh T Tran, Dmitriy Desser, Tal Zeevi, et al.
European Radiology|May 22, 2023
Non-contrast computed tomography features predict intraventricular hemorrhage growthJawed Nawabi, Frieder Schlunk, Andrea Dell'Orco, et al.
Pageof 1