Shadi Albarqouni

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerifierad e-postadress på cs.tum.edu
Christoph BaurDirector Software Imaging Products at Rohde & Schwarz GmbH & Co. KGVerifierad e-postadress på tum.de
Nicola RiekeNVIDIAVerifierad e-postadress på nvidia.com
Stefanie DemirciVDI/VDE-ITVerifierad e-postadress på uludag.dataprivacynow.com
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMVerifierad e-postadress på in.tum.de
Fausto MilletarìPaige.aiVerifierad e-postadress på paige.ai
Vasileios BelagiannisProfessor, Friedrich-Alexander-Universität Erlangen-NürnbergVerifierad e-postadress på fau.de
Andrew TraskUniversity of Oxford and OpenMinedVerifierad e-postadress på openmined.org
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterVerifierad e-postadress på nih.gov
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerifierad e-postadress på kcl.ac.uk
Karsten KortuemUniversity Eye Hospital UlmVerifierad e-postadress på kortuem.de
Daniel RueckertTechnical University of Munich and Imperial College LondonVerifierad e-postadress på tum.de
Hendrik BurwinkelMachine Learning Research Scientist, Carl Zeiss Meditec AGVerifierad e-postadress på tum.de
Irene EspositoProfessor of Pathology, University of Düsseldorf, GermanyVerifierad e-postadress på med.uni-duesseldorf.de
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerifierad e-postadress på radboudumc.nl
Julien CornebiseHon. Associate Professor, University College LondonVerifierad e-postadress på ucl.ac.uk
Andreas K. MaierUniversity of Erlangen-NurembergVerifierad e-postadress på fau.de
Sai Praneeth KarimireddyUSC | UC Berkeley | EPFLVerifierad e-postadress på usc.edu
Jean OGIER DU TERRAILLead Research Scientist, OwkinVerifierad e-postadress på owkin.com
Marco LorenziUniversité Côte d'Azur, InriaVerifierad e-postadress på inria.fr

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Shadi Albarqouni

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

Verifierad e-postadress på uni-bonn.de - Startsida

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


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	3139	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	1766	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	763	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	695	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	596	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	497	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	347	2019
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	344	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	206*	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	169	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	160	2017
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	124	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	110	2018
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	106	2020
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	100	2022
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...	100	2016
Fairness by Learning Orthogonal Disentangled Representations MH Sarhan, N Navab, A Eslami, S Albarqouni 16th European Conference on Computer Vision (ECCV), 2020	93	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	87	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	86	2021
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	71*	2019

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