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intraoperative guidance
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Koch, M.
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Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach
Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach
Auto-REP: an automated regression pipeline approach for high-efficiency earthquake prediction using LANL data
Preoperative electroencephalography‐based machine learning predicts cognitive deterioration after subthalamic deepbrain stimulation
Preoperative electroencephalography-based machine learning predicts cognitive deterioration after subthalamic deep brain stimulation
Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson's Disease
Development of the first potential nonpeptidic positron emission tomography tracer for the imaging of CCR2 receptors
Data-driven machine learning and optimization pipelines for real-world applications
Automated machine learning for the classification of normal and abnormal electromyography data
The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project
Synthesis and Preclinical Characterization of the PSMA-Targeted Hybrid Tracer PSMA-I&F for Nuclear and Fluorescence Imaging of Prostate Cancer
Synthesis and Preclinical Characterization of the PSMA-Targeted Hybrid Tracer PSMA-I&F for Nuclear and Fluorescence Imaging of Prostate Cancer
[Ga-68]PSMA-I&F: a first successful step towards PSMA-targeted bimodal probes for radio- and fluorescence guided surgery of prostate cancer
Synthesis, binding affinity and structure-activity relationships of novel, selective and dual targeting CCR2 and CCR5 receptor antagonists
Synthesis and biological evaluation of spirocyclic antagonists of CCR2 (chemokine CC receptor subtype 2)
Dynamin 2 homozygous mutation in humans with a lethal congenital syndrome