The Liver Tumor Segmentation Benchmark (LiTS)
2022 · Medical Image Analysis · 1,082 citations
https://doi.org/10.1016/j.media.2022.102680
A
Anjany Sekuboyina
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
93
Papers
3.2K
Citations
23
h-index
37
i10-index
Anjany Sekuboyina is an academic researcher from University of Zurich. The author has contributed to research in topics: Medical Imaging and Analysis & Radiomics and Machine Learning in Medical Imaging & Spinal Fractures and Fixation Techniques. The author has an h-index of 23, co-authored 80 publications.
ORCID: 0000-0002-5601-284XPapers by this author
worksVerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
2021 · Medical Image Analysis · 326 citations
https://doi.org/10.1016/j.media.2021.102166
A Vertebral Segmentation Dataset with Fracture Grading
2020 · Radiology Artificial Intelligence · 174 citations
https://doi.org/10.1148/ryai.2020190138
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
2021 · European Radiology · 115 citations
https://doi.org/10.1007/s00330-020-07655-2
Automated Opportunistic Osteoporosis Screening in Routine Computed Tomography of the Spine: Comparison With Dedicated Quantitative CT
2020 · Journal of Bone and Mineral Research · 56 citations
https://doi.org/10.1002/jbmr.4575
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
2021 · European Radiology · 39 citations
https://doi.org/10.1007/s00330-021-08284-z
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat