Dennis Eschweiler

A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar, Ruchika Verma, Deepak Anand et al. · IEEE Transactions on Medical Imaging · 2019 · 505 citations · Full text

Medical Image Segmentation, Stain Normalization, Machine Learning +27

Robust 3d Cell Segmentation: Extending The View Of Cellpose

Dennis Eschweiler, Richard S. Smith, Johannes Stegmaier · 2022 IEEE International Conference on Image Processing (ICIP) · 2022 · 35 citations

Engineering, Microscopy, Computer-aided Design +23

Segmenting renal whole slide images virtually without training data

Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan et al. · Computers in Biology and Medicine · 2017 · 31 citations

Image Analysis, Whole-slide Imaging, Data Science +12

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann et al. · PLoS Computational Biology · 2024 · 23 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +23

Comparison of deep learning-based techniques for organ segmentation in abdominal CT images

Vladimir Groza, Tom Brosch, Dennis Eschweiler et al. · 2018 · 10 citations