Heidelberg
Universitätsklinikum Heidelberg
Patient specific titanium reinforced calcium-phosphate implants as rescue cranioplasty material in complicative cases
A deep learning approach for automated planning of thoracic pedicle screws
Combining, rather than separating thoracic and lumbar vertebrae in training of a neural network for deep-learning-based pedicle screw planning yields higher anatomical accuracy
A deep-learning based workflow for the preoperative MR-based diagnosis of primary central nervous system lymphoma
Development and validation of a deep learning-based model for the preoperative differentiation of glioblastomas and cerebral lymphomas prior to stereotactic biopsy
Current practices in cranioplasty in Germany: Insights from a german cranioplasty survey
Patient specific titanium reinforced calcium-phosphate implants as rescue cranioplasty material in complicative cases
A deep learning approach for automated planning of thoracic pedicle screws
Combining, rather than separating thoracic and lumbar vertebrae in training of a neural network for deep-learning-based pedicle screw planning yields higher anatomical accuracy
Surgical infarct volume reduction and functional outcomes in patients with ischemic cerebellar stroke – Results from a multicentric retrospective study
A deep-learning based workflow for the preoperative MR-based diagnosis of primary central nervous system lymphoma
Current practices in cranioplasty in Germany: Insights from a german cranioplasty survey
Size of decompressive craniectomy predicts outcome in space-occupying ischemic cerebellar stroke – Results from a multicentric retrospective study