Anjany Sekuboyina
Anjany Sekuboyina
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Cited by
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
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
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
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
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
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
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
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
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 (8), 6069-6077, 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
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
Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture Detection
M Husseini, A Sekuboyina, M Loeffler, F Navarro, BH Menze, JS Kirschke
International Conference on Medical Image Computing and Computer-Assisted …, 2020
Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting
CM Pirk, PA Gómez, I Lipp, G Buonincontri, M Molina-Romero, ...
Medical Imaging with Deep Learning, 638-654, 2020
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns
H Li, T Loehr, A Sekuboyina, J Zhang, B Wiestler, B Menze
arXiv preprint arXiv:2001.09313, 2020
Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
A Sekuboyina, M Rempfler, A Valentinitsch, M Loeffler, JS Kirschke, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Inferring the 3D Standing Spine Posture from 2D Radiographs
A Bayat, A Sekuboyina, JC Paetzold, C Payer, D Stern, M Urschler, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
Conditioned Variational Auto-encoder for Detecting Osteoporotic Vertebral Fractures
M Husseini, A Sekuboyina, A Bayat, BH Menze, M Loeffler, JS Kirschke
International Workshop and Challenge on Computational Methods and Clinical …, 2019
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