Shadi Albarqouni

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	Wszystkie	Od 2020
Cytowania	12252	10954
h-indeks	38	37
i10-indeks	77	73

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenZweryfikowany adres z cs.tum.edu
Christoph BaurDirector Software Imaging Products at Rohde & Schwarz GmbH & Co. KGZweryfikowany adres z tum.de
Nicola RiekeNVIDIAZweryfikowany adres z nvidia.com
Stefanie DemirciVDI/VDE-ITZweryfikowany adres z uludag.dataprivacynow.com
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMZweryfikowany adres z in.tum.de
Fausto MilletarìPaige.aiZweryfikowany adres z paige.ai
Vasileios BelagiannisProfessor, Friedrich-Alexander-Universität Erlangen-NürnbergZweryfikowany adres z fau.de
Andrew TraskUniversity of Oxford and OpenMinedZweryfikowany adres z openmined.org
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterZweryfikowany adres z nih.gov
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonZweryfikowany adres z kcl.ac.uk
Karsten KortuemUniversity Eye Hospital UlmZweryfikowany adres z kortuem.de
Daniel RueckertTechnical University of Munich and Imperial College LondonZweryfikowany adres z tum.de
Hendrik BurwinkelMachine Learning Research Scientist, Carl Zeiss Meditec AGZweryfikowany adres z tum.de
Irene EspositoProfessor of Pathology, University of Düsseldorf, GermanyZweryfikowany adres z med.uni-duesseldorf.de
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityZweryfikowany adres z radboudumc.nl
Julien CornebiseHon. Associate Professor, University College LondonZweryfikowany adres z ucl.ac.uk
Agnieszka TomczakZweryfikowany adres z tum.de
Sai Praneeth KarimireddyUSCZweryfikowany adres z usc.edu
Jean OGIER DU TERRAILLead Research Scientist, OwkinZweryfikowany adres z owkin.com
Marco LorenziUniversité Côte d'Azur, InriaZweryfikowany adres z inria.fr

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Shadi Albarqouni

Professor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzAI

Zweryfikowany adres z uni-bonn.de - Strona główna

Machine Learning Deep Learning Federated Learning Medical Image Analysis Medical Image Computing


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	3316	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	2036	2020
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	821	2016
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	720	2016
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images C Baur, B Wiestler, S Albarqouni, N Navab Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019	628	2019
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	557	2020
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	384	2021
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	359	2019
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	216*	2018
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	182	2019
Semi-supervised deep learning for fully convolutional networks C Baur, S Albarqouni, N Navab Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	170	2017
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	139	2022
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	125	2020
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	117	2020
Capsule networks against medical imaging data challenges A Jiménez-Sánchez, S Albarqouni, D Mateus Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018	114	2018
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...	109	2016
Fairness by Learning Orthogonal Disentangled Representations MH Sarhan, N Navab, A Eslami, S Albarqouni 16th European Conference on Computer Vision (ECCV), 2020	107	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	102	2020
The federated tumor segmentation (fets) challenge S Pati, U Baid, M Zenk, B Edwards, M Sheller, GA Reina, P Foley, ... arXiv preprint arXiv:2105.05874, 2021	101	2021
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer B Ehteshami Bejnordi, M Veta, P Johannes van Diest, B van Ginneken, ... Jama 318 (22), 2199-2210, 2017	90	2017

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