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Neuroimage
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August 8, 2018
TractSeg - Fast and accurate white matter tract segmentation
Jakob Wasserthal, Peter Neher, Klaus H Maier-Hein
European Journal of Radiology
|
December 24, 2023
Radiology weather forecast: A retrospective analysis of predictability of median daily polytrauma-CT occurrence based on weather data
Martin Segeroth, Jan Vosshenrich, Hanns-Christian Breit, et al.
Medical Image Analysis
|
September 23, 2019
Combined tract segmentation and orientation mapping for bundle-specific tractography
Jakob Wasserthal, Peter F Neher, Dusan Hirjak, et al.
European Journal of Radiology
|
February 21, 2025
Automatic Segmentation of Cardiovascular Structures on Chest CT Data Sets: An Update of the TotalSegmentator
Daniel Hinck, Martin Segeroth, Jules Miazza, et al.
Abdominal Radiology (New York)
|
January 12, 2026
Automated detection of gallbladder stones using a deep learning algorithm on computed tomography scans
Manfred T Meyer, Jakob Wasserthal, Joshy Cyriac, et al.
Academic Radiology
|
March 19, 2026
Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation
Silke Potthast, Martin Segeroth, Jakob Wasserthal, et al.
Radiology. Artificial Intelligence
|
October 5, 2023
Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans
Tugba Akinci D'Antonoli, Ramona-Alexandra Todea, Nora Leu, et al.
Journal of Clinical Medicine
|
April 13, 2023
Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage
Thilo Rusche, Jakob Wasserthal, Hanns-Christian Breit, et al.
Plos One
|
January 6, 2021
Differentiating axonal loss and demyelination in chronic MS lesions: A novel approach using single streamline diffusivity analysis
Samuel Klistorner, Michael H Barnett, Jakob Wasserthal, et al.
Academic Radiology
|
December 3, 2024
AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort
Martin Segeroth, Hanns-Christian Breit, Jakob Wasserthal, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 43) with videos related to
Sort By:
Page
of 5
Neuroimage
|
August 8, 2018
TractSeg - Fast and accurate white matter tract segmentation
Jakob Wasserthal, Peter Neher, Klaus H Maier-Hein
European Journal of Radiology
|
December 24, 2023
Radiology weather forecast: A retrospective analysis of predictability of median daily polytrauma-CT occurrence based on weather data
Martin Segeroth, Jan Vosshenrich, Hanns-Christian Breit, et al.
Medical Image Analysis
|
September 23, 2019
Combined tract segmentation and orientation mapping for bundle-specific tractography
Jakob Wasserthal, Peter F Neher, Dusan Hirjak, et al.
European Journal of Radiology
|
February 21, 2025
Automatic Segmentation of Cardiovascular Structures on Chest CT Data Sets: An Update of the TotalSegmentator
Daniel Hinck, Martin Segeroth, Jules Miazza, et al.
Abdominal Radiology (New York)
|
January 12, 2026
Automated detection of gallbladder stones using a deep learning algorithm on computed tomography scans
Manfred T Meyer, Jakob Wasserthal, Joshy Cyriac, et al.
Academic Radiology
|
March 19, 2026
Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation
Silke Potthast, Martin Segeroth, Jakob Wasserthal, et al.
Radiology. Artificial Intelligence
|
October 5, 2023
Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans
Tugba Akinci D'Antonoli, Ramona-Alexandra Todea, Nora Leu, et al.
Journal of Clinical Medicine
|
April 13, 2023
Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage
Thilo Rusche, Jakob Wasserthal, Hanns-Christian Breit, et al.
Plos One
|
January 6, 2021
Differentiating axonal loss and demyelination in chronic MS lesions: A novel approach using single streamline diffusivity analysis
Samuel Klistorner, Michael H Barnett, Jakob Wasserthal, et al.
Academic Radiology
|
December 3, 2024
AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort
Martin Segeroth, Hanns-Christian Breit, Jakob Wasserthal, et al.
Page
of 5