Merhof, Dorit

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Medical Segmentation Decathlon

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., et al. (2022) · Nature Communications

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1,384

Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI

Truhn, D., Schrading, S., Haarburger, C., Schneider, H., Merhof, D., & Kuhl, C. (2019) · Radiology

Radiomics and Machine Learning in Medical ImagingMRI in cancer diagnosis

Cited by 273

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

Haarburger, C., Müller-Franzes, G., Weninger, L., Kuhl, C., Truhn, D., & Merhof, D. (2020) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingMedical Image Segmentation Techniques

Cited by 139

GAN-based Defect Synthesis for Anomaly Detection in Fabrics

Rippel, O., Muller, M., & Merhof, D. (2020) · 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Industrial Vision Systems and Defect DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 22

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Rippel, O., Chavan, A., Lei, C., & Merhof, D. (2022) · Proceedings of the 2nd International Conference on Image Processing and Vision Engineering

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 17

A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation

Wu, Y., Karetić, I., Stegmaier, J., Walter, P., & Merhof, D. (2023) · 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 6