Shadi Albarqouni

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	7448	7290
h-индекс	28	28
i10-индекс	64	63

2300

1150

575

1725

201720182019202020212022202388 305 770 1122 1778 2234 1060

Публичен достъп

Преглед на всички

24 статии

4 статии*

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Nassir NavabProfessor of Computer Science, Technische Universität MünchenПотвърден имейл адрес: cs.tum.edu
Christoph BaurDirector Software Imaging Products at Rohde & Schwarz GmbH & Co. KGПотвърден имейл адрес: tum.de
Stefanie DemirciVDI/VDE-ITПотвърден имейл адрес: uludag.dataprivacynow.com
Bene WiestlerDept. of Neuroradiology, TUMПотвърден имейл адрес: tum.de
Nicola RiekeNVIDIAПотвърден имейл адрес: nvidia.com
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMПотвърден имейл адрес: in.tum.de
Vasileios BelagiannisProfessor, Friedrich-Alexander-Universität Erlangen-NürnbergПотвърден имейл адрес: fau.de
Fausto MilletarìPaige.aiПотвърден имейл адрес: paige.ai
Irene EspositoProfessor of Pathology, University of Düsseldorf, GermanyПотвърден имейл адрес: med.uni-duesseldorf.de
Karsten KortuemUniversity Eye Hospital UlmПотвърден имейл адрес: kortuem.de
Andrew TraskUniversity of Oxford and OpenMinedПотвърден имейл адрес: openmined.org
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterПотвърден имейл адрес: nih.gov
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonПотвърден имейл адрес: kcl.ac.uk
Hendrik BurwinkelMachine Learning Research Scientist, Carl Zeiss Meditec AGПотвърден имейл адрес: tum.de
Daniel RueckertTechnical University of Munich and Imperial College LondonПотвърден имейл адрес: tum.de
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityПотвърден имейл адрес: radboudumc.nl
Andreas K. MaierUniversity of Erlangen-NurembergПотвърден имейл адрес: fau.de
Lena Maier-HeinProfessor, German Cancer Research CenterПотвърден имейл адрес: dkfz.de
Leonidas GuibasProfessor of Computer Science, Stanford UniversityПотвърден имейл адрес: cs.stanford.edu
Sai Praneeth KarimireddyPostdoc, UC BerkeleyПотвърден имейл адрес: berkeley.edu

Следене

Shadi Albarqouni

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

Потвърден имейл адрес: uni-bonn.de - Начална страница

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


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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	2339	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	849	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	585	2016
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	476	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	439	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	329	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	244	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	183	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	143*	2018
Semi-supervised deep learning for fully convolutional networks C Baur, S Albarqouni, N Navab Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	136	2017
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	105	2019
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	98	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	88	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	83	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	66	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	61	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	53*	2019
Fairness by Learning Orthogonal Disentangled Representations MH Sarhan, N Navab, A Eslami, S Albarqouni 16th European Conference on Computer Vision (ECCV), 2020	45	2020
Domain and geometry agnostic CNNs for left atrium segmentation in 3D ultrasound MA Degel, N Navab, S Albarqouni Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	38	2018
Uncertainty-based graph convolutional networks for organ segmentation refinement RD Soberanis-Mukul, N Navab, S Albarqouni Medical Imaging with Deep Learning, 755-769, 2020	37*	2020

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