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Deep Frequency Re-calibration U-Net for Medical Image Segmentation2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Medical Image Segmentation Techniques cited by 1 patent
Reza Azad, I Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sérgio Escalera
61citations -
MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net2020 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques Open access
Bart R. Thomson, Jasper N. Smit, Oleksandra Ivashchenko, Niels F.M. Kok, Koert F.D. Kuhlmann, Theo J. M. Ruers, +1 more
31citations -
Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net2023 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Medical Image Segmentation Techniques Open access
Jia Li, Junling He, Jingmin Long, Chenxu Wang, Jesper Kers, Fons J. Verbeek
1citations -
Optimization of hepatic vasculature segmentation from contrast-enhanced MRI, exploring two 3D Unet modifications and various loss functions3citations
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Unsupervised Segmentation of High-Throughput Zebrafish Images Using Deep Neural Networks and Transformers2023 Communications in computer and information science conference-paper Computer Science Medical Image Segmentation Techniques
Shima Javanmardi, Xiaoqin Tang, Mehrdad Jahanbanifard, Fons J. Verbeek
2citations -
Segmentation of NKX2.5 Signal in Human Pluripotent Stem Cell-Derived Cardiomyocytes2023 Communications in computer and information science conference-paper Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Siem Jongsma, Verena Schwach, Simone A. ten Den, Robert C. J. J. Passier, Fons J. Verbeek, Lu Cao
1citations -
Automatisierte Bemaßung des biomechanischen Alignments von Ganzbeinstandröntgenuntersuchungen2021 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren conference-paper Engineering Medical Imaging and Analysis
Sven Nebelung, Justus Schock, Manuel Post, Felix Mittelstrass, Daniel Truhn
0citations -
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images2021 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, +6 more
1citations -
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations2020 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Radiomics and Machine Learning in Medical Imaging Open access
Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, +1 more
9citations
18 results