Anjany Sekuboyina
Anjany Sekuboyina
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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
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 Kukačka, ...
Medical Image Analysis 73, 102166, 2021
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
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
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
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
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
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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
Attention-driven deep learning for pathological spine segmentation
A Sekuboyina, J Kukačka, JS Kirschke, BH Menze, A Valentinitsch
International workshop on computational methods and clinical applications in …, 2017
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
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
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
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
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
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
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
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
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
Inferring the 3D standing spine posture from 2D radiographs
A Bayat, A Sekuboyina, JC Paetzold, C Payer, D Stern, M Urschler, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
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