Tobias Schlosser

Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks

Tobias Schlosser, Michael Friedrich, Frederik Beuth et al. · Journal of Intelligent Manufacturing · 2022 · 57 citations · Full text

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks

Tobias Schlosser, Frederik Beuth, Michael Friedrich et al. · 2019 · 25 citations · Full text

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

Tobias Schlosser, Michael Friedrich, Danny Kowerko · 2019 · 19 citations · Full text

Engineering, Machine Learning, Hexagonal Image Transformation +23

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning

Frederik Beuth, Tobias Schlosser, Michael Friedrich et al. · IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society · 2020 · 12 citations

Convolutional Neural Network, Engineering, Machine Learning +21

Improving OCT Image Segmentation of Retinal Layers by Utilizing a Machine Learning Based Multistage System of Stacked Multiscale Encoders and Decoders

Arunodhayan Sampath Kumar, Tobias Schlosser, Holger Langner et al. · Bioengineering · 2023 · 11 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +25