OBJECTIVE
Deep brain stimulation of the superolateral branch of the medial forebrain bundle (slMFB-DBS) has shown promising therapeutic effects in treatment-resistant depression and obsessive-compulsive disorder. Here, we explore for the first time the electrophysiological connectivity between the stimulation target an...
J. Pereira, Matthias Dold, Bastian E. A. Sajonz et al.· Clinical Neurophysiology· 0 citations
PURPOSE
Most low-dose computed tomography (LDCT) scans in lung cancer (LC) screening are negative, yet contain prognostic information. We developed a fully automated 3D deep learning model for thoracic body composition (BC) quantification from LDCT and evaluated its prognostic value for overall and cause-specific morta...
J. Fingerhut, F. Pallasch, M. Jung et al.· JCO Clinical Cancer Informat...· 0 citations
LISP-Net (Lightweight In-Context Slice Propagator Network): a lightweight, purely convolutional framework for interactive volumetric medical image segmentation that uses a single dense 2D prompt to derive structural guidance from the individual patient is introduced.
Paul Machauer, M. Reisert, Janis Keuper· IEEE Access· 0 citations
BACKGROUND
The relative value of nigrostriatal volumetry, quantitative T1 relaxation, and multicompartment diffusion MRI in neurodegenerative Parkinson syndromes is unclear.
OBJECTIVES
To compare quantitative T1 relaxation and diffusion microstructure imaging-derived free fluid fraction (V-CSF) in the putamen and sub...
N. Schröter, Lucas A. Both, Wolfgang H. Jost et al.· Parkinsonism & Related Disor...· 0 citations
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