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The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Céline N. Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, Jakob Nikolas Kather
1citations -
Collaborative SAR Modeling and Prospective In Vitro Validation of Oxidative Stress Activation in Human HepG2 Cells2023 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access
Olivier J. M. Béquignon, José Carlos Gómez-Tamayo, Eelke Bart Lenselink, Steven Wink, Steven W. Hiemstra, Chi Chung Lam, +6 more
3citations -
Deep learning in cancer pathology: a new generation of clinical biomarkers2020 British Journal of Cancer article Computer Science AI in cancer detection Open access cited by 2 patents
Amelie Echle, Niklas Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander T. Pearson, Jakob Nikolas Kather
697citations -
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2025 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Medical Image Segmentation Techniques Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
1citations -
High interstudy repeatability of automatic deep learnt biventricular CMR measurements2021 European Heart Journal - Cardiovascular Imaging article Computer Science Medical Image Segmentation Techniques
Samer Alabed, Kavita Karunasaagarar, Faisal Alandejani, Pankaj Garg, Johanna Uthoff, Peter Metherall, +6 more
0citations -
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
0citations
16 results