受强制性开放获取政策约束的文章 - Shadi Albarqouni了解详情
已要求撤换的文章：1 篇
Graph convolution based attention model for personalized disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
负责上传的作者： A Kazi
可在其他位置公开访问的文章：27 篇
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, H Roth, S Albarqouni, S Bakas, ...
npj Digital Medicine 3 (119), 2020
强制性开放获取政策： US National Institutes of Health, Helmholtz Association, UK Engineering and …
Structure-preserving color normalization and sparse stain separation for histological images
A Vahadane, T Peng, A Sethi, S Albarqouni, L Wang, M Baust, K Steiger, ...
IEEE transactions on medical imaging 35 (8), 1962-1971, 2016
强制性开放获取政策： German Research Foundation
GANs for medical image analysis
S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ...
Artificial intelligence in medicine 109, 101938, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
C Baur, S Denner, B Wiestler, N Navab, S Albarqouni
Medical Image Analysis 101952, 2021
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
Information Processing in Medical Imaging: 26th International Conference …, 2019
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings
J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ...
Advances in Neural Information Processing Systems 35, 5315-5334, 2022
强制性开放获取政策： European Commission, Agence Nationale de la Recherche
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ...
Scientific reports 10 (1), 2748, 2020
强制性开放获取政策： Cancer Research UK, UK Engineering and Physical Sciences Research Council …
Inverse distance aggregation for federated learning with non-iid data
Y Yeganeh, A Farshad, N Navab, S Albarqouni
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Capsule networks against medical imaging data challenges
A Jiménez-Sánchez, S Albarqouni, D Mateus
Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018
强制性开放获取政策： European Commission
Fairness by Learning Orthogonal Disentangled Representations
MH Sarhan, N Navab, A Eslami, S Albarqouni
16th European Conference on Computer Vision (ECCV), 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Image-to-images translation for multi-task organ segmentation and bone suppression in chest x-ray radiography
M Eslami, S Tabarestani, S Albarqouni, E Adeli, N Navab, M Adjouadi
IEEE transactions on medical imaging 39 (7), 2553-2565, 2020
强制性开放获取政策： US National Science Foundation, Federal Ministry of Education and Research …
Uncertainty-based graph convolutional networks for organ segmentation refinement
RD Soberanis-Mukul, N Navab, S Albarqouni
Medical Imaging with Deep Learning, 755-769, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Precise proximal femur fracture classification for interactive training and surgical planning
A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ...
International journal of computer assisted radiology and surgery 15, 847-857, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI
C Baur, B Wiestler, M Muehlau, C Zimmer, N Navab, S Albarqouni
Radiology: Artificial Intelligence, e190169, 2021
强制性开放获取政策： German Research Foundation
Parsing human skeletons in an operating room
V Belagiannis, X Wang, HBB Shitrit, K Hashimoto, R Stauder, Y Aoki, ...
Machine Vision and Applications 27, 1035-1046, 2016
强制性开放获取政策： Swiss National Science Foundation, German Research Foundation
Scale-space autoencoders for unsupervised anomaly segmentation in brain mri
C Baur, B Wiestler, S Albarqouni, N Navab
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Attention based multiple instance learning for classification of blood cell disorders
A Sadafi, A Makhro, A Bogdanova, N Navab, T Peng, S Albarqouni, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
强制性开放获取政策： European Commission, Federal Ministry of Education and Research, Germany
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
M Bui, T Birdal, H Deng, S Albarqouni, L Guibas, S Ilic, N Navab
16th European Conference on Computer Vision (ECCV), 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense, Federal Ministry …
Joint self-supervised image-volume representation learning with intra-inter contrastive clustering
DMH Nguyen, H Nguyen, TTN Mai, T Cao, BT Nguyen, N Ho, P Swoboda, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14426 …, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
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