Roth, Karsten

Towards Total Recall in Industrial Anomaly Detection

Roth, K., Pemula, L., Zepeda, J., Scholkopf, B., Brox, T., & Gehler, P. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 1,810

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

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

Thede, L., Roth, K., Bethge, M., Akata, Z., & Hartvigsen, T. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0