U-Net-Based Prediction of Concealed Volume Loss in AZ31 From Optical Corrosion Imprints and As-Exposed Surface Topography
Advanced Intelligent Discovery, 2026
Research output
Publications
Featured publications
Medical Image Analysis · 2026
When multi-institutional dataset aggregation masks shortcut-like behavior in Foundation Models for medical imaging
Q1IF 11.8❝
Scientific Reports · 2026
Federated CT foundation models for multi-center detection of lymph node metastasis in pancreatic cancer
Q1IF 4.9❝
The BMJ · 2025
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Q1IF 42.7
Ann. Rheum. Dis. · 2025
Exploring the limit of image resolution for human expert classification of vascular ultrasound images in giant cell arteritis and healthy subjects: the GCA-US-AI project
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phiRO · 2025
Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: a framework conditioned on prior segmentation
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MICCAI · 2025
Bias and generalizability of foundation models across datasets in breast mammography
CORE A29% acc.❝
Medical Image Analysis · 2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference
Q1IF 11.8❝
NeurIPS · 2023
Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
CORE A*26.1% acc.❝
AAAI · 2023
Joint self-supervised image-volume representation learning with intra-inter contrastive clustering
CORE A*19.6% acc.❝ 169publications
20826citations · h-index 45
68journal articles · 16 in Q1
57conference & workshop papers
By type
By research theme
By year
2026
Improving diagnosis and interpretability in chest X-rays through federated learning and adversarial training
BMC Medical Informatics and Decision Making, 2026
Reducing Clinician Annotation Fatigue in Open-Set Federated Learning: A Client-Adaptive Vision-Language Gatekeeper
Journal of the American College of Radiology, 2026
K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Lecture Notes in Computer Science, 2026
PromptGate: Client-Adaptive Vision–Language Gating for Open-Set Federated Active Learning
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Lecture Notes in Computer Science, 2026
FIDAL: Diversity-Aware Federated Active Learning Under Real-World Distribution Shifts
arXiv preprint arXiv:2609.31637, 2026
Entwicklung einer künstlichen Intelligenz zur ultraschallgestützten Detektion der Riesenzellarteriitis
Deutscher Rheumatologiekongress 2026 (DGRh) — German Medical Science, 2026
MRIQT – KI-gestützte Verbesserung der Bildqualität in der neonatalen Ultra-Niedrigfeld-MRT
Zeitschrift für Geburtshilfe und Neonatologie, 2026
Artificial intelligence for ultrasound-based detection of giant cell arteritis
Die Innere Medizin, 2026
INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026
KI-gestützte datenschutzkonforme multizentrische Vorhersage lymphogener Metastasierung beim Pankreaskarzinom mittels eines föderierter CT-Foundation-Modelle
Zeitschrift für Gastroenterologie, 2026
ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026
2025
MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2025
Multi-center Collaboration for Improved Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma
Helmholtz AI Conference 2025 (HAICON25, poster), Karlsruhe, 2025
OP0343 The ClaudicAItio Model: Ultrasound Image Classification in Giant Cell Arteritis by Application of Artificial Intelligence
EULAR 2025 European Congress of Rheumatology — Annals of the Rheumatic Diseases 84 (Suppl.), 279–280, 2025
Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell Arteritis
Proceedings of the 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024), Lecture Notes in Electrical Engineering, 2025
Bias and generalizability of foundation models across datasets in breast mammography
International conference on medical image computing and computer-assisted intervention, 2025
Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma
Proceedings of the 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2024), Lecture Notes in Electrical Engineering, 2025
Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: a framework conditioned on prior segmentation
Physics and Imaging in Radiation Oncology, 2025
Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy
Physics and Imaging in Radiation Oncology, 2025
Leveraging Collective Intelligence for Inclusive Global Healthcare
2025 Twelfth International Conference on Intelligent Computing and Information Systems (ICICIS), 2025
Stronger together: advancing equity in global health research partnerships
BMJ Global Health, 2025
2024
MR Fingerprinting and Apparent Diffusion Coefficient Mapping for Quantitative Characterization of Clinically Significant Prostate Cancer
ISMRM Annual Meeting 2024, Singapore, 2024
Abstract
Medical Imaging
Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography
Ophthalmic Medical Image Analysis — OMIA 2024 workshop @ MICCAI, Lecture Notes in Computer Science, 2024
CloverNet--Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy
Clinical Image-Based Procedures — CLIP 2024 workshop @ MICCAI, Lecture Notes in Computer Science, 2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference
Medical Image Analysis, 2024
Robust Federated Learning Methodology for Automatic Chest X-Ray Diagnosis
Medical Imaging with Deep Learning, 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions--An EndoVis' 24 Challenge
arXiv preprint arXiv:2407.11906, 2024
Preprint
Responsible AI
Two-Steps Approach for Breast Cancer Detection and Classification Using Convolutional Neural Networks.
International Journal on Engineering Applications, 2024
2023
Semi-Supervised Learning for Prostate Lesion Detection and Segmentation
ELLIS Doctoral Symposium 2023 (poster), Helsinki, 2023
Abstract
Medical Imaging
LYSTO: The lymphocyte assessment hackathon and benchmark dataset
IEEE journal of biomedical and health informatics, 2023
Deep Learning-based Quantification of Aortic Macroangiopathy Improves Prediction of Cardiovascular Mortality in the National Lung Screening Trial (NLST)
European Congress of Radiology (ECR) 2023, Vienna, 2023
Abstract
Medical Imaging
Digital staining of white blood cells with confidence estimation
IEEE Transactions on Medical Imaging, 2023
Enhancing oncological care: A guide to setting up a new multidisciplinary cancer cachexia clinic within a tertiary centre
Journal of Cachexia, Sarcopenia and Muscle, 2023
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models
IEEE Transactions on Medical Imaging, 2023
Joint self-supervised image-volume representation learning with intra-inter contrastive clustering
Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
Advances in Neural Information Processing Systems, 2023
Transformer based models for unsupervised anomaly segmentation in brain MR images
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries — BrainLes 2022 workshop @ MICCAI, Lecture Notes in Computer Science, 2023
2022
Federated disentangled representation learning for unsupervised brain anomaly detection
Nature Machine Intelligence, 2022
Anomaly-aware multiple instance learning for rare anemia disorder classification
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Lecture Notes in Computer Science, 2022
Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health
Lecture Notes in Computer Science. Cham: Springer Nature, 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
arXiv (Cornell University), 2022
Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings
Advances in Neural Information Processing Systems, 2022
ROAM: Random layer mixup for semi-supervised learning in medical images
IET Image Processing, 2022
Semi-Supervised Federated Peer Learning for Skin Lesion Classification
Machine Learning for Biomedical Imaging, 2022
TriMix: Virtual embeddings and self-consistency for self-supervised learning
arXiv (Cornell University), 2022
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Lecture Notes in Computer Science, 2022
What can we learn about a generated image corrupting its latent representation?
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
2021
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Medical Image Analysis, 2021
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Domain adaptation and representation transfer, and affordable healthcare and AI for resource diverse global health
Springer International Publishing, 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
arXiv (Cornell University), 2021
FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification
Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), LNCS 12903, 2021
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI
Radiology: Artificial Intelligence, 2021
Semi-Supervised Few-Shot Learning with Prototypical Random Walks
AAAI Workshop on Meta Learning, 2021
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
The Federated Tumor Segmentation (FeTS) Challenge
arXiv preprint arXiv:2105.05874, 2021
The OOD Blind Spot of Unsupervised Anomaly Detection
Medical Imaging with Deep Learning, 2021
Conference
Medical Imaging
2020
Multi-task multi-domain learning for digital staining and classification of leukocytes
IEEE Transactions on Medical Imaging, 2020
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
Journal of Machine Learning for Biomedical Imaging (MELBA) — Special Issue: MIDL 2020, 2020
The Future of Digital Health with Federated Learning
Nature npj Digital Medicine, 2020
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
16th European Conference on Computer Vision (ECCV), 2020
Fairness by Learning Orthogonal Disentangled Representations
16th European Conference on Computer Vision (ECCV), 2020
Uncertainty-based graph convolutional networks for organ segmentation refinement
To appear in the International Conference in Medical Imaging with Deep Learning, 2020, 2020
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency
IEEE Journal of Biomedical and Health Informatics, 2020
& Cardoso, MJ (2020)
The future of digital health with federated learning. NPJ Digital Medicine, 2020
Journal
Medical Imaging
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
arXiv preprint arXiv:2002.02883, 2020
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
Benefit of dual energy CT for lesion localization and classification with convolutional neural networks
Medical Imaging 2020: Physics of Medical Imaging, 2020
GANs for medical image analysis
Artificial Intelligence in Medicine, 2020
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
IEEE Transactions on Medical Imaging, 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography
Biomedical Physics & Engineering Express, 2020
On the Fairness of Privacy-Preserving Representations in Medical Applications
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning — DART 2020 and DCL 2020 workshops @ MICCAI, Lecture Notes in Computer Science, 2020
Polyp-artifact relationship analysis using graph inductive learned representations
arXiv preprint arXiv:2009.07109, 2020
Preprint
Medical Imaging
Precise proximal femur fracture classification for interactive training and surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2020
Retinal Layer Segmentation Reformulated as OCT Language Processing
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Lecture Notes in Computer Science, 2020
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Lecture Notes in Computer Science, 2020
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Lecture Notes in Computer Science, 2020
2019
Adaptive image-feature learning for disease classification using inductive graph networks
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Lecture Notes in Computer Science, 2019
Adversarial Networks for Camera Pose Regression and Refinement
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries — BrainLes 2018 workshop @ MICCAI, Lecture Notes in Computer Science, 2019
Focal loss for artefact detection in medical endoscopy
Proceedings of the 2019 Challenge on Endoscopy Artefacts Detection (EAD2019), Venice, Italy, 8th April, 2019
Graph Convolution Based Attention Model for Personalized Disease Prediction
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
InceptionGCN: receptive field aware graph convolutional network for disease prediction
International Conference on Information Processing in Medical Imaging, 2019
Investigation of Focal Loss in Deep Learning Models For Femur Fractures Classification
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), 2019
Learn to estimate labels uncertainty for quality assurance
arXiv preprint arXiv:1909.08058, 2019
Learn to Segment Organs with a Few Bounding Boxes
arXiv preprint arXiv:1909.07809, 2019
Preprint
Medical Imaging
Learning interpretable disentangled representations using adversarial vaes
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Learning Interpretable Features via Adversarially Robust Optimization
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
Learning-based x-ray image denoising utilizing model-based image simulations
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Lecture Notes in Computer Science, 2019
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Springer Nature, 2019
Edited volume
Medical Imaging
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Lecture Notes in Computer Science, 2019
Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system
International journal of computer assisted radiology and surgery, 2019
Self-attention equipped graph convolutions for disease prediction
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
Semi-Supervised Few-Shot Learning with Local and Global Consistency
arXiv preprint arXiv:1903.02164, 2019
Preprint
Medical Imaging
Staingan: Stain style transfer for digital histological images
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
arXiv preprint arXiv:1902.01338, 2019
Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach
European Congress on Digital Pathology, 2019
2018
Fusing unsupervised and supervised deep learning for white matter lesion segmentation
International Conference on Medical Imaging with Deep Learning, 2018
A photon recycling approach to the denoising of ultra-low dose X-ray sequences
International journal of computer assisted radiology and surgery, 2018
Capsule networks against medical imaging data challenges
Lecture notes in computer science, 2018
Deep learning with synthetic data for free water elimination in diffusion MRI
ISMRM Annual Meeting 2018 (Proc. Intl. Soc. Mag. Reson. Med.), 2018
Abstract
Medical Imaging
Domain and geometry agnostic CNNs for left atrium segmentation in 3D ultrasound
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Lecture Notes in Computer Science, 2018
Fine-Tuning Deep Learning by Crowd Participation
IEEE pulse, 2018
Generating highly realistic images of skin lesions with GANs
Lecture notes in computer science, 2018
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
International journal of computer assisted radiology and surgery, 2018
Intravascular Imaging and Computer Assisted Stenting and Large-scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Springer, 2018
Edited volume
Medical Imaging
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis — CVII-STENT 2017 and LABELS 2017 workshops @ MICCAI, Lecture Notes in Computer Science, 2018
LABELS 2018 Preface
7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the 3rd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, 2018
Edited volume
Medical Imaging
Multiple device segmentation for fluoroscopic imaging using multi-task learning
Springer International Publishing, 2018
Scene coordinate and correspondence learning for image-based localization
arXiv (Cornell University), 2018
Weakly-supervised localization and classification of proximal femur fractures
arXiv preprint arXiv:1809.10692, 2018
Preprint
Medical Imaging
When regression meets manifold learning for object recognition and pose estimation
2018 IEEE International Conference on Robotics and Automation (ICRA), 2018
X-ray Depthmaps: Revealing the Hidden Structures
European Journal of Vascular and Endovascular Surgery, 2018
2017
Automatic classification of proximal femur fractures based on attention models
Machine Learning in Medical Imaging — MLMI 2017 workshop @ MICCAI, Lecture Notes in Computer Science, 2017
Semi-supervised deep learning for fully convolutional networks
Medical Image Computing and Computer Assisted Intervention – MICCAI 2017, Lecture Notes in Computer Science, 2017
X-ray in-depth decomposition: Revealing the latent structures
Medical Image Computing and Computer Assisted Intervention – MICCAI 2017, Lecture Notes in Computer Science, 2017
X-Ray PoseNet: 6 DoF pose estimation for mobile X-Ray devices
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
2016
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images
IEEE transactions on medical imaging, 2016
Cathnets: detection and single-view depth prediction of catheter electrodes
Medical Imaging and Augmented Reality (MIAR 2016), Lecture Notes in Computer Science, 2016
Deep learning and data labeling for medical applications
Proceedings of the International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. In: Lecture Notes in Computer Science, 2016
Workshop
Medical Imaging
Parsing human skeletons in an operating room
Machine Vision and Applications, 2016
Playsourcing: a novel concept for knowledge creation in biomedical research
Deep Learning and Data Labeling for Medical Applications — LABELS 2016 workshop @ MICCAI, Lecture Notes in Computer Science, 2016
Single-view X-ray depth recovery: toward a novel concept for image-guided interventions
International journal of computer assisted radiology and surgery, 2016
Structure-preserving color normalization and sparse stain separation for histological images
IEEE transactions on medical imaging, 2016
2015
Gradient projection for regularized cryo-electron tomographic reconstruction
Computational Methods for Molecular Imaging, Lecture Notes in Computational Vision and Biomechanics, 2015
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data
26th British Machine Vision Conference (BMVC), Swansea, UK, 2015
Structure-preserved color normalization for histological images
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015
2012
Developing MATLAB software for PV and battery sizing for lighting projects in Gaza Strip, Palestine
International Journal of Renewable Energy Technology, 2012
2010
Developing empirical models for estimating global solar radiation in Gaza Strip, Palestine
IUG Journal of Natural Studies, 2010
Journal
Medical Imaging
Re-evaluation and re-design stand-alone PV solar lighting projects in Gaza Strip, Palestine
The Islamic University of Gaza, 2010
Journal
Medical Imaging
2009
Steps towards Establishing Telemedicine Center in Palestine
2nd International Conference on e-Health and Bioengineering (EHB 2009), Iași–Constanța, Romania, 2009
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