Index
A Bias Analysis on Audio and Linguistic Embeddings for the Classification of Alzheimer’s Disease
Deep Learning for Glioma Survival Prediction
Deep Learning for Bias Field Correction in MRI Scans
Spoken Language Identification for Hearing Aids
Definition und Implementierung einer prototypischen Smart Home Schnittstelle für ein cloudbasiertes Energiemanagementsystem
Deep Learning-Based Breast Density Categorization in Asian Women
thesisdescriptionImprovements in SSL image-text learnings on CXR images
Deep Learning based Collimator Detection
Transformers vs. Convolutional Networks for 3D segmentation in industrial CT data
The current state of the art for segmentation in industrial CT are oftentimes CNNs.
Transformer based models are sparsely used.
Therefore, this project wants to compare the semantic segmentation performance of transformers (that include global context into segmentation), pure convolutional neural networks (that use local context) and combined methods (like this one: https://doi.org/10.1186/s12911-023-02129-z) on an industrial CT dataset of shoes like in this study: https://doi.org/10.58286/27736 .
Only available as Bachelors thesis / Research Project