Shadi Albarqouni

发表

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Andrew H. Beck, Quirine F. Manson, Oren Z. Kraus, 2017, JAMA.

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning: Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings

Konstantinos Kamnitsas, Shadi Albarqouni, Spyridon Bakas, 2020, DART/DCL@MICCAI.

AggNet : Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

Shadi Albarqouni, S. Demirci, N. Navab, 2016 .

RE-EVALUATION AND RE-DESIGN STAND-ALONE PV SOLAR LIGHTING PROJECTS IN GAZA STRIP, PALESTINE

Shadi Albarqouni, M. T. Hussein, 2010 .

FOCAL LOSS FOR ARTEFACT DETECTION IN MEDICAL ENDOSCOPY

Roger D. Soberanis-Mukul, Shadi Albarqouni, N. Navab, 2019 .

The future of digital health with federated learning.

Micah J. Sheller, Ronald M. Summers, Shadi Albarqouni, 2020, NPJ digital medicine.

MA Thesis: Robust unsupervised anomaly detection for medical imaging

Shadi Albarqouni, E. Konukoglu, Xiaoran Chen, 2022 .

The future of digital health with federated learning

Micah J. Sheller, Klaus H. Maier-Hein, Ronald M. Summers, 2020, npj Digital Medicine.

Deep learning with synthetic data for free water elimination in diffusion MRI

Pedro A. Gómez, Bjoern H Menze, Shadi Albarqouni, 2018 .

The future of digital health with federated learning

Ronald M. Summers, Daguang Xu, M. Jorge Cardoso, 2020, npj Digital Medicine.

MA Thesis: Weakly Supervised Federated Learning for Chest X-ray Imaging Detection, localization, and classification of pathologies and findings in Chest X-rays (CXR)

Shadi Albarqouni, 2022 .

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

D. Rueckert, Shadi Albarqouni, F. Bamberg, 2022, ArXiv.

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

Nassir Navab, Shadi Albarqouni, Ario Sadafi, 2021, DART/FAIR@MICCAI.

Virtual embeddings and self-consistency for self-supervised learning

Shadi Albarqouni, N. Navab, T. Bdair, 2022, ArXiv.

TriMix: Virtual embeddings and self-consistency for self-supervised learning

Shadi Albarqouni, N. Navab, T. Bdair, 2022 .

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

Shadi Albarqouni, N. Navab, C. Marr, 2022, MICCAI.

Anomaly-aware multiple instance learning for rare anemia disorder classification

Shadi Albarqouni, C. Marr, A. Makhro, 2022, MICCAI.

Attention based Multiple Instance Learning for Classification of Blood Cell Disorders pdf

Nassir Navab, Tingying Peng, Shadi Albarqouni, 2020, MICCAI.

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification pdf

Shadi Albarqouni, Nassir Navab, Amelia Jiménez-Sánchez, 2019, ArXiv.

X-ray In-Depth Decomposition: Can Deep Learning Reveal The Latent Structures?

Shadi Albarqouni, Nassir Navab, Javad Fotouhi, 2016 .

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

Sai Praneeth Karimireddy, Jean Ogier du Terrail, Aymeric Dieuleveut, 2022, 2210.04620.

Federated Tumor Segmentation

Christos Davatzikos, Russell T. Shinohara, Shadi Albarqouni, 2021 .

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

Sai Praneeth Karimireddy, Jean Ogier du Terrail, Aymeric Dieuleveut, 2022, ArXiv.

Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Bonn, Cnrs, D. Garching, 2022, BrainLes@MICCAI.

Virtual embeddings and self-consistency for self-supervised learning

Shadi Albarqouni, N. Navab, T. Bdair, 2022, ArXiv.

Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

Duy M. H. Nguyen, Binh Duc Nguyen, P. Xie, 2022, 2212.01893.

Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations

Mhd Hasan Sarhan, Shadi Albarqouni, N. Navab, 2020, IET Image Process..

Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Su-Lin Lee, Gustavo Carneiro, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

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

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2020, Medical Image Anal..

CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning

Shadi Albarqouni, D. Rückert, Michele Guerra, 2022 .

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair

Andreas K. Maier, Shadi Albarqouni, Markus Kowarschik, 2018, International Journal of Computer Assisted Radiology and Surgery.

GANs for Medical Image Analysis pdf

Nassir Navab, Arjan Kuijper, Shadi Albarqouni, 2018, Artif. Intell. Medicine.

Generating Highly Realistic Images of Skin Lesions with GANs

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2018, OR 2.0/CARE/CLIP/ISIC@MICCAI.

Staingan: Stain Style Transfer for Digital Histological Images

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2016, IEEE Transactions on Medical Imaging.

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

Nassir Navab, Shadi Albarqouni, Tariq Bdair, 2020, ArXiv.

Self-Attention Equipped Graph Convolutions for Disease Prediction

Nassir Navab, Shadi Albarqouni, Anees Kazi, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

Nassir Navab, Shadi Albarqouni, Stefanie Demirci, 2016, IEEE Trans. Medical Imaging.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Felix Y Zhou, Mohammad Azam Khan, Shadi Albarqouni, 2020, Scientific Reports.

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

Navid Alemi Koohbanani, M. Veta, Shadi Albarqouni, 2023, ArXiv.

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2018, BrainLes@MICCAI.

Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes

Slobodan Ilic, Shadi Albarqouni, Nassir Navab, 2020, IEEE Transactions on Medical Imaging.

Semi-supervised Deep Learning for Fully Convolutional Networks

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2017, MICCAI.

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

Nassir Navab, Shadi Albarqouni, Malek Adjouadi, 2019, IEEE Transactions on Medical Imaging.

Precise proximal femur fracture classification for interactive training and surgical planning

Shadi Albarqouni, N. Navab, D. Mateus, 2019, International Journal of Computer Assisted Radiology and Surgery.

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation pdf

Shadi Albarqouni, Nassir Navab, Roger D. Soberanis-Mukul, 2019, The Journal of Machine Learning for Biomedical Imaging.

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

Sai Praneeth Karimireddy, Jean Ogier du Terrail, Aymeric Dieuleveut, 2022, NeurIPS.

The Federated Tumor Segmentation (FeTS) Challenge pdf

Christos Davatzikos, Lena Maier-Hein, Annika Reinke, 2021, ArXiv.

Inverse Distance Aggregation for Federated Learning with Non-IID Data

Nassir Navab, Yousef Yeganeh, Azade Farshad, 2020, DART/DCL@MICCAI.

FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification

Shadi Albarqouni, Nassir Navab, Tariq M. Bdair, 2021, MICCAI.

Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency

Nassir Navab, Shadi Albarqouni, Amal Lahiani, 2020, IEEE Journal of Biomedical and Health Informatics.

Federated disentangled representation learning for unsupervised brain anomaly detection

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, Nature Machine Intelligence.

Retinal Layer Segmentation Reformulated as OCT Language Processing

Shadi Albarqouni, Nassir Navab, Shahrooz Faghih Roohi, 2020, MICCAI.

Structure-preserved color normalization for histological images

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

MelanoGANs: High Resolution Skin Lesion Synthesis with GANs pdf

Nassir Navab, Shadi Albarqouni, Christoph Baur, 2018, ArXiv.

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Shadi Albarqouni, Seyed-Ahmad Ahmadi, Nassir Navab, 2019, IPMI.

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation pdf

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, ArXiv.

Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting

Shadi Albarqouni, N. Navab, P. Klare, 2020 .

Scene Coordinate and Correspondence Learning for Image-Based Localization pdf

Nassir Navab, Slobodan Ilic, Shadi Albarqouni, 2018, BMVC.

Adversarial Networks for Camera Pose Regression and Refinement

Shadi Albarqouni, Nassir Navab, Mai Bui, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices

Nassir Navab, Slobodan Ilic, Shadi Albarqouni, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference pdf

Nassir Navab, Mai Bui, Shadi Albarqouni, 2020, ECCV.

Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI.

Shadi Albarqouni, Nassir Navab, Benedikt Wiestler, 2021, Radiology. Artificial intelligence.

Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography

Felix K. Kopp, Ernst J. Rummeny, Peter B. Noël, 2020, Biomedical physics & engineering express.

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

Nassir Navab, Shadi Albarqouni, Seyed-Ahmad Ahmadi, 2019, MICCAI.

Learning Interpretable Disentangled Representations using Adversarial VAEs pdf

Nassir Navab, Shadi Albarqouni, Mhd Hasan Sarhan, 2019, DART/MIL3ID@MICCAI.

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

Shadi Albarqouni, Nassir Navab, Ario Sadafi, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models

Quanzheng Li, Shadi Albarqouni, H. Roth, 2023, IEEE Trans. Medical Imaging.

Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach

Nassir Navab, Shadi Albarqouni, Amal Lahiani, 2018, ECDP.

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

Binh Duc Nguyen, P. Xie, Nhat Ho, 2023, ArXiv.

Learning Interpretable Features via Adversarially Robust Optimization pdf

Nassir Navab, Shadi Albarqouni, Ashkan Khakzar, 2019, MICCAI.

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.

Nassir Navab, Shadi Albarqouni, Maximilian Baust, 2016, IEEE transactions on medical imaging.

Semi-Supervised Federated Peer Learning for Skin Lesion Classification

Shadi Albarqouni, N. Navab, T. Bdair, 2021, Machine Learning for Biomedical Imaging.

Investigation of Focal Loss in Deep Learning Models For Femur Fractures Classification

Nassir Navab, Shadi Albarqouni, Raed M. Shubair, 2019, 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA).

Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss

Nassir Navab, Shadi Albarqouni, Mhd Hasan Sarhan, 2019, MICCAI.

Fairness by Learning Orthogonal Disentangled Representations

Mhd Hasan Sarhan, Shadi Albarqouni, N. Navab, 2020, ECCV.

Graph Convolution Based Attention Model for Personalized Disease Prediction

Shadi Albarqouni, Seyed-Ahmad Ahmadi, Nassir Navab, 2019, MICCAI.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Xiaohong W. Gao, Victor B. Loschenov, Sharib Ali, 2020, Scientific Reports.

X-Ray In-Depth Decomposition: Revealing the Latent Structures

Nassir Navab, Shadi Albarqouni, Javad Fotouhi, 2016, MICCAI.

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Nassir Navab, Shadi Albarqouni, Roger D. Soberanis-Mukul, 2019, MIDL.

Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data

Shadi Albarqouni, Maximilian Baust, Nassir Navab, 2015, BMVC.

Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction

Nassir Navab, Shadi Albarqouni, Tobias Lasser, 2015 .

ROAM: Random layer mixup for semi-supervised learning in medical images

Shadi Albarqouni, N. Navab, B. Wiestler, 2022, IET Image Process..

Semi-Supervised Federated Peer Learning for Skin Lesion Classification

Shadi Albarqouni, Nassir Navab, Tariq Bdair, 2021, Machine Learning for Biomedical Imaging.

Peer Learning for Skin Lesion Classification pdf

Shadi Albarqouni, Nassir Navab, Tariq Bdair, 2021, ArXiv.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

What Can We Learn About a Generated Image Corrupting Its Latent Representation?

Slobodan Ilic, Shadi Albarqouni, N. Navab, 2022, MICCAI.

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

Nassir Navab, Shadi Albarqouni, S. Demirci, 2016, IEEE Transactions on Medical Imaging.

Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation

Christopher Kurz, Shadi Albarqouni, Nassir Navab, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Capsule Networks against Medical Imaging Data Challenges

Shadi Albarqouni, Amelia Jiménez-Sánchez, Diana Mateus, 2018, CVII-STENT/LABELS@MICCAI.

Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

Su-Lin Lee, Shadi Albarqouni, Tal Arbel, 2018, Lecture Notes in Computer Science.

SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI

Shadi Albarqouni, Nassir Navab, Robert Graf, 2020, MICCAI.

MRI to CT Translation with GANs pdf

Shadi Albarqouni, Bodo Kaiser, Shadi Albarqouni, 2019, ArXiv.

Automatic Classification of Proximal Femur Fractures Based on Attention Models

Shadi Albarqouni, Nassir Navab, Amelia Jiménez-Sánchez, 2017, MLMI@MICCAI.

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

Slobodan Ilic, Shadi Albarqouni, N. Navab, 2020, ECCV.

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation

Nassir Navab, Slobodan Ilic, Shadi Albarqouni, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

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

Nassir Navab, Slobodan Ilic, Shadi Albarqouni, 2019, ArXiv.

CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes

Nassir Navab, Shadi Albarqouni, Stefanie Demirci, 2016, MIAR.

The OOD Blind Spot of Unsupervised Anomaly Detection

Shadi Albarqouni, Ender Konukoglu, Janis Postels, 2021, MIDL.

Weakly-Supervised Localization and Classification of Proximal Femur Fractures pdf

Shadi Albarqouni, Nassir Navab, Amelia Jiménez-Sánchez, 2018, ArXiv.

Semi-Supervised Few-Shot Learning with Prototypical Random Walks

Shadi Albarqouni, N. Navab, Mohamed Elhoseiny, 2019, MetaDL@AAAI.

Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound pdf

Nassir Navab, Shadi Albarqouni, Markus A. Degel, 2018, MICCAI.

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement

Shadi Albarqouni, Nassir Navab, Roger D. Soberanis-Mukul, 2019, MIDL.

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset

Navid Alemi Koohbanani, M. Veta, Shadi Albarqouni, 2023, IEEE Journal of Biomedical and Health Informatics.

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer pdf

Nassir Navab, Shadi Albarqouni, Amal Lahiani, 2019, MICCAI.

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

Nassir Navab, Shadi Albarqouni, M. Adjouadi, 2019, IEEE Transactions on Medical Imaging.

On the Fairness of Privacy-Preserving Representations in Medical Applications

Shadi Albarqouni, Nassir Navab, Mhd Hasan Sarhan, 2020, DART/DCL@MICCAI.