Concepedia

Daniel Jörgens

DJ

2

Publications

95

Citations

2

H-Index

2019

Active since

Affiliations

KTH Royal Institute of Technology(Current)

Daniel Jörgens is an author at KTH Royal Institute of Technology specializing in deep learning, engineering, and medical image computing.

Top concepts

RadiologyEngineeringData ScienceNeuroimagingDeep LearningMachine LearningMedical Image AnalysisMedical Image Computing

Publications per year

2019–2022

2

Publications

2

Tractography and machine learning: Current state and open challenges

Philippe Poulin, Daniel Jörgens, Pierre‐Marc Jodoin et al. · Magnetic Resonance Imaging · 2019 · 80 citations · Full text

Engineering, Machine Learning, Data Science +6

Fiber orientation downsampling compromises the computation of white matter tract-related deformation

Zhou Zhou, Teng Wang, Daniel Jörgens et al. · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · 2022 · 15 citations · Full text

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