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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

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

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The Federated Tumor Segmentation (FeTS) Challenge


May 14, 2021
Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas


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Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias


Mar 17, 2021
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

* Accepted for publication at the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021) 

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Peer Learning for Skin Lesion Classification


Mar 08, 2021
Tariq Bdair, Nassir Navab, Shadi Albarqouni


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FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation


Mar 05, 2021
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni


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An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation


Dec 06, 2020
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni

* Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org 

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Polyp-artifact relationship analysis using graph inductive learned representations


Sep 15, 2020
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab


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Inverse Distance Aggregation for Federated Learning with Non-IID Data


Aug 17, 2020
Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni


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Attention based Multiple Instance Learning for Classification of Blood Cell Disorders


Jul 22, 2020
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr


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Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI


Jun 23, 2020
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab


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6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference


Apr 09, 2020
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab

* project page under https://multimodal3dvision.github.io 

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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study


Apr 08, 2020
Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab


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Fairness by Learning Orthogonal Disentangled Representations


Mar 22, 2020
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni


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ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging


Mar 20, 2020
Tariq Bdair, Nassir Navab, Shadi Albarqouni


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The Future of Digital Health with Federated Learning


Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso


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A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks


Feb 11, 2020
Roger D. Soberanis-Mukul, Maxime Kayser, Anna-Maria Zvereva, Peter Klare, Nassir Navab, Shadi Albarqouni


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Learn to Estimate Labels Uncertainty for Quality Assurance


Sep 17, 2019
Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni

* Under Review 

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Learn to Segment Organs with a Few Bounding Boxes


Sep 17, 2019
Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni

* Under Review 

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Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography


Jun 24, 2019
Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi


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Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer


Jun 03, 2019
Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman


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Learning Interpretable Features via Adversarially Robust Optimization


May 09, 2019
Ashkan Khakzar, Shadi Albarqouni, Nassir Navab


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Adaptive image-feature learning for disease classification using inductive graph networks


May 08, 2019
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi

* 9 pages, 2 figures 

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Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss


Apr 18, 2019
Mhd Hasan Sarhan, Shadi Albarqouni, Nassir Navab, Abouzar Eslami


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Learning Interpretable Disentangled Representations using Adversarial VAEs


Apr 17, 2019
Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni


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Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement


Mar 26, 2019
Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni


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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction


Mar 11, 2019
Anees Kazi, Shayan shekarforoush, S. Arvind krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab


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