Shadi Albarqouni

Helmholtz Association of German Research Centres — Germany

Computer Science · Physical Sciences

31h-index7.5kcitations158works0.42yr avg
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Research Topics

AI in cancer detection(41), Radiomics and Machine Learning in Medical Imaging(31), COVID-19 diagnosis using AI(21), Domain Adaptation and Few-Shot Learning(18), Generative Adversarial Networks and Image Synthesis(16)

Publications157 total

INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading
ArXiv.org·2025Open Access
INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading
arXiv (Cornell University)·2025Open Access
Federated CT Foundation Models for Multi-Center Detection of Lymph Node Metastasis in Pancreatic Cancer
2025Open Access
MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI
arXiv (Cornell University)·2025Open Access
ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation
arXiv (Cornell University)·2025Open Access
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· 1 citedOpen Access
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
Annals of the Rheumatic Diseases·2025Open Access
OP0343 THE CLAUDICAITIO MODEL: ULTRASOUND IMAGE CLASSIFICATION IN GIANT CELL ARTERITIS BY APPLICATION OF ARTIFICIAL INTELLIGENCE
Annals of the Rheumatic Diseases·2025Open Access
Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon
Scientific Reports·2025Open Access
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
arXiv (Cornell University)·2025Open Access
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· 4 citedOpen Access
Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma
Lecture notes in electrical engineering·2025
Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell Arteritis
Lecture notes in electrical engineering·2025
Two-Steps Approach for Breast Cancer Detection and Classification Using Convolutional Neural Networks
International Journal on Engineering Applications (IREA)·2024· 1 cited
MR Fingerprinting and Apparent Diffusion Coefficient Mapping for quantitative characterization of clinically significant Prostate Cancer
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography
Lecture notes in computer science·2024
Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference
Medical Image Analysis·2024
CloverNet – Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy
Lecture notes in computer science·2024· 2 cited
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· 3 citedOpen Access
Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology
Journal of Clinical Medicine·2023· 37 citedOpen Access
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Frequent Co-authors

Nassir Navab(33), Christoph Baur(14), Benedikt Wiestler(10), Stefanie Demirci(6), Slobodan Ilić(6), Anees Kazi(5), Diana Mateus(5), Mai Bui(5), M. Jorge Cardoso(4), Shayan Shekarforoush(3), S. Arvind Krishna(3), Hendrik Burwinkel(3), Gerome Vivar(3), Seyed‐Ahmad Ahmadi(3), Amelia Jiménez-Sánchez(3), Simone Balocco(3), Lena Maier‐Hein(3), Luc Duong(3), Guillaume Zahnd(3), Lee Su-Lin(3)