M Wenzel
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View article: Common data models and data standards for tabular health data: a systematic review
Common data models and data standards for tabular health data: a systematic review Open
Background The use of health data supports knowledge-based decision-making in healthcare. Common Data Models (CDMs) and data standards facilitate the integration of diverse data sources and enable federated analysis by harmonizing data for…
View article: Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines
Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines Open
Background Clinical practice guidelines (CPGs) serve as essential tools for guiding clinicians in providing appropriate patient care. However, clinical practice does not always reflect CPGs. This is particularly critical in acute diseases …
View article: Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging
Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging Open
Background Over the next 5 years, new breast cancer screening guidelines recommending magnetic resonance imaging (MRI) for certain patients will significantly increase the volume of imaging data to be analyzed. While this increase poses ch…
View article: Comparison of Anatomical Preformed Titanium Implants and Patient-Specific CAD/CAM Implants in the Primary Reconstruction of Isolated Orbital Fractures—A Retrospective Study
Comparison of Anatomical Preformed Titanium Implants and Patient-Specific CAD/CAM Implants in the Primary Reconstruction of Isolated Orbital Fractures—A Retrospective Study Open
Background/Aim: Reconstruction of the fractured orbit remains a challenge. The aim of this study was to compare anatomical preformed titanium orbital implants with patient-specific CAD/CAM implants for precision and intraoperative applicab…
View article: Generative Adversarial Networks and Other Generative Models
Generative Adversarial Networks and Other Generative Models Open
Generative networks are fundamentally different in their aim and methods compared to CNNs for classification, segmentation, or object detection. They have initially not been meant to be an image analysis tool, but to produce naturally look…
View article: From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Open
While machine learning is currently transforming the field of histopathology, the domain lacks a comprehensive evaluation of state-of-the-art models based on essential but complementary quality requirements beyond a mere classification acc…
View article: Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small\n Dataset
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small\n Dataset Open
Determining if the brain is developing normally is a key component of\npediatric neuroradiology and neurology. Brain magnetic resonance imaging (MRI)\nof infants demonstrates a specific pattern of development beyond simply\nmyelination. Wh…
View article: Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset Open
Determining if the brain is developing normally is a key component of pediatric neuroradiology and neurology. Brain magnetic resonance imaging (MRI) of infants demonstrates a specific pattern of development beyond simply myelination. While…
View article: Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy\n Measurements
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy\n Measurements Open
Digital contact tracing approaches based on Bluetooth low energy (BLE) have\nthe potential to efficiently contain and delay outbreaks of infectious diseases\nsuch as the ongoing SARS-CoV-2 pandemic. In this work we propose a novel\nmachine…
View article: Decoding implicit information from the electroencephalogram with methods from brain-computer interfacing
Decoding implicit information from the electroencephalogram with methods from brain-computer interfacing Open
Research on brain-computer interfacing (BCI) has demonstrated that specific brain activity patterns can be detected in the electroencephalogram (EEG) with multivariate methods from machine learning and signal processing in real-time. Objec…
View article: Is Neural Activity Detected by ERP-based Brain-Computer Interfaces Task Specific? - Data set
Is Neural Activity Detected by ERP-based Brain-Computer Interfaces Task Specific? - Data set Open
EEG and behavioral data of thirteen people were recorded by members of the Neurotechnology Group at Technische Universität Berlin. Details of the study are published in Wenzel M A, Almeida I and Blankertz B. Is Neural Activity Detected by …