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Author

M. Reisert

4 papers indexed here

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Open access Oct 2026

Cortical evoked potentials from deep brain stimulation of the superolateral medial forebrain bundle: An exploratory study.

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. · 0 citations
Jul 2026

Deep Learning to Quantify Body Composition in Lung Cancer Screening-Eligible Individuals.

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. · 0 citations
Open access 2026

LISP-Net: Context-Aware and Lightweight Interactive Medical Segmentation

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 · 0 citations
Open access Sep 2026

Nigrostriatal free-water imaging and volumetry outperform quantitative T1 in neurodegenerative Parkinson syndromes.

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. · 0 citations

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