Shadi Albarqouni
Shadi Albarqouni
Visiting Scientist at Imperial College London | Senior Research Scientist and Team Lead at TU Munich
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
8492017
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
3192016
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
1372016
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
1022018
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
642019
Semi-supervised deep learning for fully convolutional networks
C Baur, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
602017
GANs for medical image analysis
S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ...
Artificial Intelligence in Medicine, 101938, 2020
572020
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
42*2018
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
322015
Capsule networks against medical imaging data challenges
A Jiménez-Sánchez, S Albarqouni, D Mateus
Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018
312018
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
222016
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
202020
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
162018
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
K Breininger, S Albarqouni, T Kurzendorfer, M Pfister, M Kowarschik, ...
International journal of computer assisted radiology and surgery 13 (8 …, 2018
132018
Automatic classification of proximal femur fractures based on attention models
A Kazi, S Albarqouni, AJ Sanchez, S Kirchhoff, P Biberthaler, N Navab, ...
International Workshop on Machine Learning in Medical Imaging, 70-78, 2017
132017
InceptionGCN: receptive field aware graph convolutional network for disease prediction
A Kazi, S Shekarforoush, SA Krishna, H Burwinkel, G Vivar, K Kortüm, ...
International Conference on Information Processing in Medical Imaging, 73-85, 2019
122019
Scene coordinate and correspondence learning for image-based localization
M Bui, S Albarqouni, S Ilic, N Navab
arXiv preprint arXiv:1805.08443, 2018
112018
X-ray in-depth decomposition: Revealing the latent structures
S Albarqouni, J Fotouhi, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
112017
Cathnets: detection and single-view depth prediction of catheter electrodes
C Baur, S Albarqouni, S Demirci, N Navab, P Fallavollita
International Conference on Medical Imaging and Augmented Reality, 38-49, 2016
112016
Fusing unsupervised and supervised deep learning for white matter lesion segmentation
C Baur, B Wiestler, S Albarqouni, N Navab
International Conference on Medical Imaging with Deep Learning, 63-72, 2019
92019
The system can't perform the operation now. Try again later.
Articles 1–20