Sekuboyina, Anjany

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

A Vertebral Segmentation Dataset with Fracture Grading

Löffler, M. T., Sekuboyina, A., Jacob, A., Grau, A.-L., Scharr, A., El Husseini, M., Kallweit, M., Zimmer, C., Baum, T., & Kirschke, J. S. (2020) · Radiology: Artificial Intelligence

Medical Imaging and AnalysisAdvanced Neural Network Applications

Cited by 181

Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA

Löffler, M. T., Jacob, A., Scharr, A., Sollmann, N., Burian, E., El Husseini, M., Sekuboyina, A., Tetteh, G., Zimmer, C., Gempt, J., et al. (2021) · European Radiology

Bone health and osteoporosis researchMedical Imaging and Analysis

Cited by 120

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

Shit, S., Paetzold, J. C., Sekuboyina, A., Ezhov, I., Unger, A., Zhylka, A., Pluim, J. P. W., Bauer, U., & Menze, B. H. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 60

Beyond Medical Imaging - A Review of Multimodal Deep Learning in Radiology

Heiliger, L., Sekuboyina, A., Menze, B., Egger, J., & Kleesiek, J. (2022)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 13