Shadi Albarqouni
Shadi Albarqouni
Professor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzMunich
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Cited by
Cited by
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
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
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images
S Albarqouni, C Baur, F Achilles, V Belagiannis, S Demirci, N Navab
IEEE transactions on medical imaging 35 (5), 1313-1321, 2016
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
C Baur, B Wiestler, S Albarqouni, N Navab
International MICCAI brainlesion workshop, 161-169, 2018
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
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
Staingan: Stain style transfer for digital histological images
MT Shaban, C Baur, N Navab, S Albarqouni
2019 Ieee 16th international symposium on biomedical imaging (Isbi 2019 …, 2019
Semi-supervised deep learning for fully convolutional networks
C Baur, S Albarqouni, N Navab
International conference on medical image computing and computer-assisted …, 2017
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
Generating highly realistic images of skin lesions with GANs
C Baur, S Albarqouni, N Navab
OR 2.0 context-aware operating theaters, computer assisted robotic endoscopy …, 2018
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), 1-15, 2020
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, S Arvind Krishna, H Burwinkel, G Vivar, ...
International Conference on Information Processing in Medical Imaging, 73-85, 2019
Capsule networks against medical imaging data challenges
A Jiménez-Sánchez, S Albarqouni, D Mateus
Intravascular imaging and computer assisted stenting and large-scale …, 2018
Deep learning and data labeling for medical applications
G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...
Structure-preserved color normalization for histological images
A Vahadane, T Peng, S Albarqouni, M Baust, K Steiger, AM Schlitter, ...
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1012-1015, 2015
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
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
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
A Lahiani, N Navab, S Albarqouni, E Klaiman
Medical Image Computing and Computer Assisted Intervention, 568-576, 2019
Domain and geometry agnostic CNNs for left atrium segmentation in 3D ultrasound
MA Degel, N Navab, S Albarqouni
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Parsing human skeletons in an operating room
V Belagiannis, X Wang, HBB Shitrit, K Hashimoto, R Stauder, Y Aoki, ...
Machine Vision and Applications 27 (7), 1035-1046, 2016
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