Anjany Sekuboyina
Anjany Sekuboyina
Verified email at tum.de
Title
Cited by
Cited by
Year
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
2332019
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
942019
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
372018
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
332017
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
292019
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
272017
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
222020
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
21*2021
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
212017
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
17*2020
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
132021
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
112020
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
82020
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
72019
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
62020
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
52020
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
42019
Multi-level activation for segmentation of hierarchically-nested classes
M Piraud, A Sekuboyina, BH Menze
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
42018
Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT
LY Yeung, NM Rayudu, M Löffler, A Sekuboyina, E Burian, N Sollmann, ...
Diagnostics 11 (2), 208, 2021
32021
Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT
LY Yeung, NM Rayudu, M Löffler, A Sekuboyina, E Burian, N Sollmann, ...
Diagnostics 11 (2), 208, 2021
32021
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