Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. - Shadi Albarqouni; Maximilian Baust; Sailesh Conjeti; Asharf Al-Amoudi; Nassir Navab (BMVC, 2015)

Structure-preserved color normalization for histological images. - Abhishek Vahadane; Tingying Peng; Shadi Albarqouni; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Amit Sethi; Irene Esposito; Nassir Navab (ISBI, 2015)

CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes. - Christoph Baur; Shadi Albarqouni; Stefanie Demirci; Nassir Navab; Pascal Fallavollita (MIAR, 2016)

Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research. - Shadi Albarqouni; Stefan Matl; Maximilian Baust; Nassir Navab; Stefanie Demirci (LABELS/DLMIA@MICCAI, 2016)

Single-view X-ray depth recovery: toward a novel concept for image-guided interventions. - Shadi Albarqouni; Ulrich Konrad; Lichao Wang; Nassir Navab; Stefanie Demirci (Int. J. Comput. Assist. Radiol. Surg., 2016)

X-ray In-Depth Decomposition: Can Deep Learning Reveal The Latent Structures? - Shadi Albarqouni; Javad Fotouhi; Nassir Navab (CoRR, 2016)

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. - Shadi Albarqouni; Christoph Baur; Felix Achilles; Vasileios Belagiannis; Stefanie Demirci; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. - Abhishek Vahadane; Tingying Peng; Amit Sethi; Shadi Albarqouni; Lichao Wang; Maximilian Baust; Katja Steiger; Anna Melissa Schlitter; Irene Esposito; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

X-Ray In-Depth Decomposition: Revealing the Latent Structures. - Shadi Albarqouni; Javad Fotouhi; Nassir Navab (MICCAI (3), 2017)

Semi-supervised Deep Learning for Fully Convolutional Networks. - Christoph Baur; Shadi Albarqouni; Nassir Navab (MICCAI (3), 2017)

Automatic Classification of Proximal Femur Fractures Based on Attention Models. - Anees Kazi; Shadi Albarqouni; Amelia Jiménez-Sánchez; Sonja Kirchhoff; Peter Biberthaler; Nassir Navab; Diana Mateus (MLMI@MICCAI, 2017)

X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices. - Mai Bui 001; Shadi Albarqouni; Michael Schrapp; Nassir Navab; Slobodan Ilic (WACV, 2017)

Auxiliary Manifold Embedding for Fully Convolutional Networks. - Christoph Baur; Shadi Albarqouni; Nassir Navab (CoRR, 2017)

Scene Coordinate and Correspondence Learning for Image-Based Localization. - Mai Bui 001; Shadi Albarqouni; Slobodan Ilic; Nassir Navab (BMVC, 2018)

When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. - Mai Bui 001; Sergey Zakharov; Shadi Albarqouni; Slobodan Ilic; Nassir Navab (ICRA, 2018)

Generating Highly Realistic Images of Skin Lesions with GANs. - Christoph Baur; Shadi Albarqouni; Nassir Navab (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. - Christoph Baur; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab (BrainLes@MICCAI (1), 2018)

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. - Katharina Breininger; Tobias Würfl; Tanja Kurzendorfer; Shadi Albarqouni; Marcus Pfister; Markus Kowarschik; Nassir Navab; Andreas K. Maier (CVII-STENT/LABELS@MICCAI, 2018)

Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. - Markus A. Degel; Nassir Navab; Shadi Albarqouni (MICCAI (4), 2018)

Capsule Networks Against Medical Imaging Data Challenges. - Amelia Jiménez-Sánchez; Shadi Albarqouni; Diana Mateus (CVII-STENT/LABELS@MICCAI, 2018)

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. - Katharina Breininger; Shadi Albarqouni; Tanja Kurzendorfer; Marcus Pfister; Markus Kowarschik; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2018)

A photon recycling approach to the denoising of ultra-low dose X-ray sequences. - Sai Gokul Hariharan; Norbert Strobel; Christian Kaethner; Markus Kowarschik; Stefanie Demirci; Shadi Albarqouni; Rebecca Fahrig; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2018)

MelanoGANs: High Resolution Skin Lesion Synthesis with GANs. - Christoph Baur; Shadi Albarqouni; Nassir Navab (CoRR, 2018)

Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. - Anees Kazi; Shadi Albarqouni; Karsten U. Kortuem; Nassir Navab (CoRR, 2018)

Weakly-Supervised Localization and Classification of Proximal Femur Fractures. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Sonja Kirchhoff; Alexandra Sträter; Peter Biberthaler; Diana Mateus; Nassir Navab (CoRR, 2018)

Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach. - Amal Lahiani; Jacob Gildenblat; Irina Klaman; Shadi Albarqouni; Nassir Navab; Eldad Klaiman (ECDP, 2019)

Adversarial Networks for Camera Pose Regression and Refinement. - Mai Bui 001; Christoph Baur; Nassir Navab; Slobodan Ilic; Shadi Albarqouni (ICCV Workshops, 2019)

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. - Anees Kazi; Shayan Shekarforoush; S. Arvind Krishna; Hendrik Burwinkel; Gerome Vivar; Karsten Kortüm; Seyed-Ahmad Ahmadi; Shadi Albarqouni; Nassir Navab (IPMI, 2019)

Self-Attention Equipped Graph Convolutions for Disease Prediction. - Anees Kazi; S. Arvind Krishna; Shayan Shekarforoush; Karsten U. Kortuem; Shadi Albarqouni; Nassir Navab (ISBI, 2019)

Staingan: Stain Style Transfer for Digital Histological Images. - M. Tarek Shaban; Christoph Baur; Nassir Navab; Shadi Albarqouni (ISBI, 2019)

Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. - Hendrik Burwinkel; Anees Kazi; Gerome Vivar; Shadi Albarqouni; Guillaume Zahnd; Nassir Navab; Seyed-Ahmad Ahmadi (MICCAI (6), 2019)

Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations. - Sai Gokul Hariharan; Christian Kaethner; Norbert Strobel; Markus Kowarschik; Shadi Albarqouni; Rebecca Fahrig; Nassir Navab (MICCAI (6), 2019)

Graph Convolution Based Attention Model for Personalized Disease Prediction. - Anees Kazi; Shayan Shekarforoush; S. Arvind Krishna; Hendrik Burwinkel; Gerome Vivar; Benedikt Wiestler; Karsten Kortüm; Seyed-Ahmad Ahmadi; Shadi Albarqouni; Nassir Navab (MICCAI (4), 2019)

Learning Interpretable Features via Adversarially Robust Optimization. - Ashkan Khakzar; Shadi Albarqouni; Nassir Navab (MICCAI (6), 2019)

Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. - Amal Lahiani; Nassir Navab; Shadi Albarqouni; Eldad Klaiman (MICCAI (1), 2019)

Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. - Mhd Hasan Sarhan; Shadi Albarqouni; Mehmet Yigitsoy; Nassir Navab; Abouzar Eslami (MICCAI (1), 2019)

Learning Interpretable Disentangled Representations Using Adversarial VAEs. - Mhd Hasan Sarhan; Abouzar Eslami; Nassir Navab; Shadi Albarqouni (DART/MIL3ID@MICCAI, 2019)

Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation. - Christoph Baur; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab (MIDL, 2019)

Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system. - Sai Gokul Hariharan; Christian Kaethner; Norbert Strobel; Markus Kowarschik; Julie DiNitto; Shadi Albarqouni; Rebecca Fahrig; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2019)

MRI to CT Translation with GANs. - Bodo Kaiser; Shadi Albarqouni (CoRR, 2019)

Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Diana Mateus; Sonja Kirchhoff (CoRR, 2019)

Semi-Supervised Few-Shot Learning with Local and Global Consistency. - Ahmed Ayyad; Nassir Navab; Mohamed Elhoseiny; Shadi Albarqouni (CoRR, 2019)

Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement. - Mai Bui 001; Christoph Baur; Nassir Navab; Slobodan Ilic; Shadi Albarqouni (CoRR, 2019)

Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. - Mhd Hasan Sarhan; Shadi Albarqouni; Nassir Navab; Abouzar Eslami (CoRR, 2019)

An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. - Roger D. Soberanis-Mukul; Shadi Albarqouni; Nassir Navab (CoRR, 2019)

Learn to Segment Organs with a Few Bounding Boxes. - Abhijeet Parida; Arianne Tran; Nassir Navab; Shadi Albarqouni (CoRR, 2019)

Learn to Estimate Labels Uncertainty for Quality Assurance. - Agnieszka Tomczack; Nassir Navab; Shadi Albarqouni (CoRR, 2019)

6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. - Mai Bui 001; Tolga Birdal; Haowen Deng; Shadi Albarqouni; Leonidas J. Guibas; Slobodan Ilic; Nassir Navab (ECCV (18), 2020)

Fairness by Learning Orthogonal Disentangled Representations. - Mhd Hasan Sarhan; Nassir Navab; Abouzar Eslami; Shadi Albarqouni (ECCV (29), 2020)

Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri. - Christoph Baur; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab (ISBI, 2020)

SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. - Christoph Baur; Robert Graf; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab (MICCAI (2), 2020)

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. - Christoph Baur; Benedikt Wiestler; Shadi Albarqouni; Nassir Navab (MICCAI (4), 2020)

Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. - Ario Sadafi; Asya Makhro; Anna Bogdanova; Nassir Navab; Tingying Peng; Shadi Albarqouni; Carsten Marr (MICCAI (5), 2020)

On the Fairness of Privacy-Preserving Representations in Medical Applications. - Mhd Hasan Sarhan; Nassir Navab; Abouzar Eslami; Shadi Albarqouni (DART/DCL@MICCAI, 2020)

Retinal Layer Segmentation Reformulated as OCT Language Processing. - Arianne Tran; Jakob Weiss; Shadi Albarqouni; Shahrooz Faghih Roohi; Nassir Navab (MICCAI (5), 2020)

Inverse Distance Aggregation for Federated Learning with Non-IID Data. - Yousef Yeganeh; Azade Farshad; Nassir Navab; Shadi Albarqouni (DART/DCL@MICCAI, 2020)

Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement. - Roger D. Soberanis-Mukul; Nassir Navab; Shadi Albarqouni (MIDL, 2020)

GANs for medical image analysis. - Salome Kazeminia; Christoph Baur; Arjan Kuijper; Bram van Ginneken; Nassir Navab; Shadi Albarqouni; Anirban Mukhopadhyay 003 (Artif. Intell. Medicine, 2020)

Precise proximal femur fracture classification for interactive training and surgical planning. - Amelia Jiménez-Sánchez; Anees Kazi; Shadi Albarqouni; Chlodwig Kirchhoff; Peter Biberthaler; Nassir Navab; Sonja Kirchhoff; Diana Mateus (Int. J. Comput. Assist. Radiol. Surg., 2020)

A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks. - Roger D. Soberanis-Mukul; Maxime Kayser; Anna-Maria Zvereva; Peter Klare; Nassir Navab; Shadi Albarqouni (CoRR, 2020)

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (CoRR, 2020)

Polyp-artifact relationship analysis using graph inductive learned representations. - Roger D. Soberanis-Mukul; Shadi Albarqouni; Nassir Navab (CoRR, 2020)

Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations. - Mhd Hasan Sarhan; Shadi Albarqouni; Mehmet Yigitsoy; Nassir Navab; Abouzar Eslami (IET Image Process., 2020)

The future of digital health with federated learning. - Nicola Rieke; Jonny Hancox; Wenqi Li 001; Fausto Milletarì; Holger R. Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N. Galtier; Bennett A. Landman; Klaus H. Maier-Hein; Sébastien Ourselin; Micah J. Sheller; et al. (npj Digit. Medicine, 2020)

Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. - Mohammad Eslami; Solale Tabarestani; Shadi Albarqouni; Ehsan Adeli 001; Nassir Navab; Malek Adjouadi (IEEE Trans. Medical Imaging, 2020)

Semi-Supervised Few-Shot Learning with Prototypical Random Walks. - Ahmed Ayyad; Yuchen Li 010; Raden Muaz; Shadi Albarqouni; Mohamed Elhoseiny (MetaDL@AAAI, 2021)

Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation. - Tetiana Klymenko; Seong Tae Kim 001; Kirsten Lauber; Christopher Kurz; Guillaume Landry; Nassir Navab; Shadi Albarqouni (ISBI, 2021)

Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. - Ario Sadafi; Lucía María Moya Sans; Asya Makhro; Leonid Livshits; Nassir Navab; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (ISBI, 2021)

FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (MICCAI (3), 2021)

Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. - Ario Sadafi; Asya Makhro; Leonid Livshits; Nassir Navab; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (DART/FAIR@MICCAI, 2021)

The OOD Blind Spot of Unsupervised Anomaly Detection. - Matthäus Heer; Janis Postels; Xiaoran Chen; Ender Konukoglu; Shadi Albarqouni (MIDL, 2021)

Peer Learning for Skin Lesion Classification. - Tariq M. Bdair; Nassir Navab; Shadi Albarqouni (CoRR, 2021)

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (CoRR, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study. - Christoph Baur; Stefan Denner; Benedikt Wiestler; Nassir Navab; Shadi Albarqouni (Medical Image Anal., 2021)

Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. - Amal Lahiani; Irina Klaman; Nassir Navab; Shadi Albarqouni; Eldad Klaiman (IEEE J. Biomed. Health Informatics, 2021)

Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes. - Agnieszka Tomczak; Slobodan Ilic; Gaby Marquardt; Thomas Engel 006; Frank Forster; Nassir Navab; Shadi Albarqouni (IEEE Trans. Medical Imaging, 2021)

Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. - Ahmed Ghorbel; Ahmed Aldahdooh; Shadi Albarqouni; Wassim Hamidouche (BrainLes@MICCAI, 2022)

Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. - Salome Kazeminia; Ario Sadafi; Asya Makhro; Anna Bogdanova; Shadi Albarqouni; Carsten Marr (MICCAI (8), 2022)

Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. - Raheleh Salehi; Ario Sadafi; Armin Gruber; Peter Lienemann; Nassir Navab; Shadi Albarqouni; Carsten Marr (MICCAI (3), 2022)

What Can We Learn About a Generated Image Corrupting Its Latent Representation? - Agnieszka Tomczak; Aarushi Gupta; Slobodan Ilic; Nassir Navab; Shadi Albarqouni (MICCAI (6), 2022)

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. - Jean Ogier du Terrail; Samy-Safwan Ayed; Edwige Cyffers; Felix Grimberg; Chaoyang He 001; Regis Loeb; Paul Mangold; Tanguy Marchand; Othmane Marfoq; Erum Mushtaq; Boris Muzellec; Constantin Philippenko; et al. (NeurIPS, 2022)

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. - Tobias Bernecker; Annette Peters; Christopher L. Schlett; Fabian Bamberg; Fabian J. Theis; Daniel Rueckert; Jakob Weiß; Shadi Albarqouni (CoRR, 2022)

Virtual embeddings and self-consistency for self-supervised learning. - Tariq M. Bdair; Hossam Abdelhamid; Nassir Navab; Shadi Albarqouni (CoRR, 2022)

ROAM: Random layer mixup for semi-supervised learning in medical images. - Tariq M. Bdair; Benedikt Wiestler; Nassir Navab; Shadi Albarqouni (IET Image Process., 2022)

Federated disentangled representation learning for unsupervised brain anomaly detection. - Cosmin I. Bercea; Benedikt Wiestler; Daniel Rueckert; Shadi Albarqouni (Nat. Mach. Intell., 2022)

Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. - Duy M. H. Nguyen; Hoang Nguyen; Truong Thanh Nhat Mai; Tri Cao; Binh T. Nguyen 001; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag (AAAI, 2023)

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. - Duy M. H. Nguyen; Hoang Nguyen; Nghiem Tuong Diep; Tan Ngoc Pham; Tri Cao; Binh T. Nguyen 001; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert (NeurIPS, 2023)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Yiping Jiao; Jeroen van der Laak; Shadi Albarqouni; Zhang Li; Tao Tan; Abhir Bhalerao; Jiabo Ma; Jiamei Sun; Johnathon Pocock; Josien P. W. Pluim; Navid Alemi Koohbanani; Raja Muhammad Saad Bashir; et al. (CoRR, 2023)

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. - Holger R. Roth; Nicola Rieke; Shadi Albarqouni; Quanzheng Li (IEEE Trans. Medical Imaging, 2023)

Digital Staining of White Blood Cells With Confidence Estimation. - Agnieszka Tomczak; Slobodan Ilic; Gaby Marquardt; Thomas Engel 006; Nassir Navab; Shadi Albarqouni (IEEE Trans. Medical Imaging, 2023)

CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy. - Francesca De Benetti; Yousef Yaganeh; Claus Belka; Stefanie Corradini; Nassir Navab; Christopher Kurz; Guillaume Landry; Shadi Albarqouni; Thomas Wendler 001 (CLIP@MICCAI, 2024)

Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma. - David Dueñas Gaviria; Patrick Kupczyk; Belinda Lee; Peter Gibbs; Hyun Ko; Alexander Semaan; Shadi Albarqouni (MICAD, 2024)

Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell Arteritis. - Sarah Schaab; Claus-Jürgen Bauer; Valentin Schäfer; Shadi Albarqouni (MICAD, 2024)

Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography. - Elyes Farjallah; Said El Shamieh; Razieh Rezaei; Philipp Herrmann; Sandrine H. Künzel; Frank G. Holz; Shadi Albarqouni (OMIA@MICCAI, 2024)

Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. - Shadi Albarqouni; Christian F. Baumgartner; Qi Dou 001; Ender Konukoglu; Bjoern H. Menze; Archana Venkataraman (Medical Image Anal., 2024)

LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. - Yiping Jiao; Jeroen van der Laak; Shadi Albarqouni; Zhang Li; Tao Tan; Abhir Bhalerao; Shenghua Cheng; Jiabo Ma; John Pocock; Josien P. W. Pluim; Navid Alemi Koohbanani; Raja Muhammad Saad Bashir; et al. (IEEE J. Biomed. Health Informatics, 2024)

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography. - Elodie Germani; Ilayda Selin Türk; Fatima Zeineddine; Charbel Mourad; Shadi Albarqouni (CoRR, 2025)