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Anjany Sekuboyina
Anjany Sekuboyina
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Year
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
9112023
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
A Sekuboyina, A Bayat, ME Husseini, M Löffler, H Li, G Tetteh, J Kukaèka, ...
Medical Image Analysis 73, 102166, 2021
214*2021
Knowledge-aided convolutional neural network for small organ segmentation
Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze
IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019
1912019
clDice-a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
S Shit, JC Paetzold, A Sekuboyina, I Ezhov, A Unger, A Zhylka, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1802021
A vertebral segmentation dataset with fracture grading
MT Löffler, A Sekuboyina, A Jacob, AL Grau, A Scharr, M El Husseini, ...
Radiology: Artificial Intelligence 2 (4), e190138, 2020
1312020
DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis
H Li, JC Paetzold, A Sekuboyina, F Kofler, J Zhang, JS Kirschke, ...
arXiv preprint arXiv:1904.12894, 2019
852019
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukaèka, G Tetteh, A Valentinitsch, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
722018
Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA
MT Löffler, A Jacob, A Scharr, N Sollmann, E Burian, M El Husseini, ...
European radiology 31, 6069-6077, 2021
692021
A localisation-segmentation approach for multi-label annotation of lumbar vertebrae using deep nets
A Sekuboyina, A Valentinitsch, JS Kirschke, BH Menze
arXiv preprint arXiv:1703.04347, 2017
662017
A convolutional neural network approach for abnormality detection in Wireless Capsule Endoscopy
AK Sekuboyina, ST Devarakonda, CS Seelamantula
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
622017
Attention-driven deep learning for pathological spine segmentation
A Sekuboyina, J Kukaèka, JS Kirschke, BH Menze, A Valentinitsch
International workshop on computational methods and clinical applications in …, 2017
612017
A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data
H Liebl, D Schinz, A Sekuboyina, L Malagutti, MT Löffler, A Bayat, ...
Scientific Data 8 (1), 284, 2021
472021
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
AB Qasim, I Ezhov, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ...
Medical Imaging with Deep Learning, 655-668, 2020
442020
Labeling vertebrae with two-dimensional reformations of multidetector CT images: an adversarial approach for incorporating prior knowledge of spine anatomy
A Sekuboyina, M Rempfler, A Valentinitsch, BH Menze, JS Kirschke
Radiology: Artificial Intelligence 2 (2), e190074, 2020
432020
Deep reinforcement learning for organ localization in CT
F Navarro, A Sekuboyina, D Waldmannstetter, JC Peeken, SE Combs, ...
Medical Imaging with Deep Learning, 544-554, 2020
372020
Grading loss: a fracture grade-based metric loss for vertebral fracture detection
M Husseini, A Sekuboyina, M Loeffler, F Navarro, BH Menze, JS Kirschke
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
242020
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging
F Navarro, C Watanabe, S Shit, A Sekuboyina, JC Peeken, SE Combs, ...
arXiv preprint arXiv:2105.06986, 2021
202021
Automated opportunistic osteoporosis screening in routine computed tomography of the spine: comparison with dedicated quantitative CT
N Sollmann, MT Löffler, M El Husseini, A Sekuboyina, M Dieckmeyer, ...
Journal of Bone and Mineral Research 37 (7), 1287-1296, 2020
202020
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
S Rühling, F Navarro, A Sekuboyina, M El Husseini, T Baum, B Menze, ...
European Radiology, 1-10, 2022
182022
Level-specific volumetric BMD threshold values for the prediction of incident vertebral fractures using opportunistic QCT: a case-control study
M Dieckmeyer, MT Löffler, M El Husseini, A Sekuboyina, B Menze, ...
Frontiers in Endocrinology 13, 882163, 2022
162022
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