Shadi Albarqouni

Orcid: 0000-0003-2157-2211

According to our database1, Shadi Albarqouni authored at least 92 papers between 2015 and 2024.

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Bibliography

2024
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
IEEE J. Biomed. Health Informatics, March, 2024

2023
Digital Staining of White Blood Cells With Confidence Estimation.
IEEE Trans. Medical Imaging, December, 2023

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models.
IEEE Trans. Medical Imaging, 2023

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
CoRR, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Federated disentangled representation learning for unsupervised brain anomaly detection.
Nat. Mach. Intell., 2022

ROAM: Random layer mixup for semi-supervised learning in medical images.
IET Image Process., 2022

Virtual embeddings and self-consistency for self-supervised learning.
CoRR, 2022

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR, 2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

What Can We Learn About a Generated Image Corrupting Its Latent Representation?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes.
IEEE Trans. Medical Imaging, 2021

Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency.
IEEE J. Biomed. Health Informatics, 2021

Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study.
Medical Image Anal., 2021

The Federated Tumor Segmentation (FeTS) Challenge.
CoRR, 2021

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation.
CoRR, 2021

Peer Learning for Skin Lesion Classification.
CoRR, 2021

The OOD Blind Spot of Unsupervised Anomaly Detection.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Semi-Supervised Few-Shot Learning with Prototypical Random Walks.
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography.
IEEE Trans. Medical Imaging, 2020

The future of digital health with federated learning.
npj Digit. Medicine, 2020

Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations.
IET Image Process., 2020

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation.
CoRR, 2020

Polyp-artifact relationship analysis using graph inductive learned representations.
CoRR, 2020

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging.
CoRR, 2020

A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks.
CoRR, 2020

Precise proximal femur fracture classification for interactive training and surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2020

GANs for medical image analysis.
Artif. Intell. Medicine, 2020

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Inverse Distance Aggregation for Federated Learning with Non-IID Data.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Retinal Layer Segmentation Reformulated as OCT Language Processing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

On the Fairness of Privacy-Preserving Representations in Medical Applications.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Fairness by Learning Orthogonal Disentangled Representations.
Proceedings of the Computer Vision - ECCV 2020, 2020

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Learn to Estimate Labels Uncertainty for Quality Assurance.
CoRR, 2019

Learn to Segment Organs with a Few Bounding Boxes.
CoRR, 2019

Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss.
CoRR, 2019

Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement.
CoRR, 2019

Semi-Supervised Few-Shot Learning with Local and Global Consistency.
CoRR, 2019

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification.
CoRR, 2019

MRI to CT Translation with GANs.
CoRR, 2019

Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system.
Int. J. Comput. Assist. Radiol. Surg., 2019

Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Learning Interpretable Disentangled Representations Using Adversarial VAEs.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Interpretable Features via Adversarially Robust Optimization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Graph Convolution Based Attention Model for Personalized Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Staingan: Stain Style Transfer for Digital Histological Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Self-Attention Equipped Graph Convolutions for Disease Prediction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.
Proceedings of the Information Processing in Medical Imaging, 2019

Adversarial Networks for Camera Pose Regression and Refinement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach.
Proceedings of the Digital Pathology - 15th European Congress, 2019

2018
Weakly-Supervised Localization and Classification of Proximal Femur Fractures.
CoRR, 2018

Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction.
CoRR, 2018

MelanoGANs: High Resolution Skin Lesion Synthesis with GANs.
CoRR, 2018

A photon recycling approach to the denoising of ultra-low dose X-ray sequences.
Int. J. Comput. Assist. Radiol. Surg., 2018

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair.
Int. J. Comput. Assist. Radiol. Surg., 2018

Capsule Networks Against Medical Imaging Data Challenges.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Generating Highly Realistic Images of Skin Lesions with GANs.
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Scene Coordinate and Correspondence Learning for Image-Based Localization.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Auxiliary Manifold Embedding for Fully Convolutional Networks.
CoRR, 2017

X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Automatic Classification of Proximal Femur Fractures Based on Attention Models.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Semi-supervised Deep Learning for Fully Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

X-Ray In-Depth Decomposition: Revealing the Latent Structures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images.
IEEE Trans. Medical Imaging, 2016

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.
IEEE Trans. Medical Imaging, 2016

X-ray In-Depth Decomposition: Can Deep Learning Reveal The Latent Structures?
CoRR, 2016

Single-view X-ray depth recovery: toward a novel concept for image-guided interventions.
Int. J. Comput. Assist. Radiol. Surg., 2016

Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

2015
Structure-preserved color normalization for histological images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data.
Proceedings of the British Machine Vision Conference 2015, 2015


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