Shadi Albarqouni
Shadi Albarqouni
AI Group Leader at Helmholtz Zentrum München | TUM Junior Fellow | fmr. Imperial College and ETH
Verified email at helmholtz-muenchen.de - 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
10042017
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
3502016
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
1622016
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
1342018
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
832019
GANs for medical image analysis
S Kazeminia, C Baur, A Kuijper, B van Ginneken, N Navab, S Albarqouni, ...
Artificial Intelligence in Medicine, 101938, 2020
772020
Semi-supervised deep learning for fully convolutional networks
C Baur, S Albarqouni, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2017
712017
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
52*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
352015
Capsule networks against medical imaging data challenges
A Jiménez-Sánchez, S Albarqouni, D Mateus
Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018
342018
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
262020
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
232020
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
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
202018
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
182019
Scene coordinate and correspondence learning for image-based localization
M Bui, S Albarqouni, S Ilic, N Navab
29th British Machine Vision Conference, Newcastle, UK, 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
152018
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
152017
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
142019
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
142017
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Articles 1–20