| 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 | 364 | 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 | 134 | 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 | 62* | 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 | 47 | 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 | 43 | 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 | 41 | 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 | 40 | 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 | 40 | 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 | 32 | 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 | 26* | 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 | 20 | 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 | 15 | 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 | 15 | 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 | 15 | 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 | 7 | 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 | 7 | 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 | 7 | 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 | 7 | 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 | 6 | 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 | 6 | 2019 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
