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Shadi Albarqouni
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University Hospital Bonn, Venusberg-Campus 1, D-53127, Bonn, Germany, Helmholtz Munich, Ingolstädter Landstraße 1, D-85764, Neuherberg, Germany, Technical University of Munich, Boltzmannstr. 3, D-85748 Garching, Germany

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset


Jan 16, 2023
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne Wetstein, Syed Ali Khurram, Thomas Watson, Nasir Rajpoot, Mitko Veta, Francesco Ciompi

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* will be sumitted to IEEE-JBHI 
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Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering


Dec 04, 2022
Duy M. H. Nguyen, Hoang Nguyen, Mai T. N. Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag

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* Accepted at AAAI 2023 
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What can we learn about a generated image corrupting its latent representation?


Oct 12, 2022
Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni

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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings


Oct 10, 2022
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

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* Accepted to NeurIPS, Datasets and Benchmarks Track 
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Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images


Jul 05, 2022
Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche

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Anomaly-aware multiple instance learning for rare anemia disorder classification


Jul 04, 2022
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

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Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification


Jul 01, 2022
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr

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* Accepted for publication at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 
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Virtual embeddings and self-consistency for self-supervised learning


Jun 15, 2022
Tariq Bdair, Hossam Abdelhamid, Nassir Navab, Shadi Albarqouni

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FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation


May 23, 2022
Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni

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* Under Review 
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Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks


Sep 11, 2021
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

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* Accepted for publication at MICCAI 2021 workshop on aFfordable healthcare and AI for Resource diverse global health (FAIR) 
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