Stefan Braunewell

Computer Science · Physical Sciences

7h-index1.2kcitations11works0.02yr avg
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Research Topics

AI in cancer detection(5), Radiomics and Machine Learning in Medical Imaging(4), Advanced Neural Network Applications(3), Medical Image Segmentation Techniques(3), Advanced Radiotherapy Techniques(3)

Publications11 total

Reliable Saliency Maps for Weakly-Supervised Localization of Disease Patterns
Lecture notes in computer science·2020· 3 cited
A Multi-Organ Nucleus Segmentation Challenge
IEEE Transactions on Medical Imaging·2019· 505 citedOpen Access
BACH: Grand challenge on breast cancer histology images
Medical Image Analysis·2019· 637 citedOpen Access
Understanding Regularization to Visualize Convolutional Neural Networks
arXiv (Cornell University)·2018· 1 citedOpen Access
Assessment of Breast Cancer Histology using Densely Connected\n Convolutional Networks
arXiv (Cornell University)·2018Open Access
Assessment of Breast Cancer Histology Using Densely Connected Convolutional Networks
Lecture notes in computer science·2018· 3 citedOpen Access
An integrated model-based software for FUS in moving abdominal organs
International Journal of Hyperthermia·2015· 24 citedOpen Access
Toward Focused Ultrasound Liver Surgery under Free Breathing
Critical Reviews in Biomedical Engineering·2012· 8 cited
Sketch-based Image-independent Editing of 3D Tumor Segmentations using Variational Interpolation
Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)·2012· 7 citedOpen Access
Visualization support for the planning of hepatic needle placement
International Journal of Computer Assisted Radiology and Surgery·2011· 37 cited
Analysis of variability in manual liver tumor delineation in CT scans
2011· 9 cited

Frequent Co-authors

Matthias Kohl(5), Maximilian Baust(4), Christoph Walz(3), F. Ludwig(3), Quoc Dang Vu(2), Jin Tae Kwak(2), Heinz‐Otto Peitgen(2), Tobias Preußer(2), Frank Heckel(2), Horst K. Hahn(2), Guilherme Aresta(1), Teresa Araújo(1), Scotty Kwok(1), Sai Saketh Chennamsetty(1), Mohammed Safwan(1), Varghese Alex(1), Bahram Marami(1), Marcel Prastawa(1), Monica S. M. Chan(1), Michael Donovan(1)