Shadi Albarqouni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
6
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Bias and Generalizability of Foundation Models Across Datasets in Breast Mammography. | Elodie Germani, Ilayda Selin Trk, Fatima Zeineddine, Charbel Mourad, Shadi Albarqouni |
| 2024 | MICCAI | 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. Knzel, Frank G. Holz, Shadi Albarqouni |
| 2023 | AAAI | 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, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag |
| 2022 | MICCAI | Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. | Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | What Can We Learn About a Generated Image Corrupting Its Latent Representation? | Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni |
| 2021 | AAAI | Semi-Supervised Few-Shot Learning with Prototypical Random Walks. | Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny |
| 2021 | MICCAI | FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification. | Tariq M. Bdair, Nassir Navab, Shadi Albarqouni |
| 2021 | MICCAI | 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 |
| 2020 | ECCV | 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. | Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab |
| 2020 | ECCV | Fairness by Learning Orthogonal Disentangled Representations. | Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni |
| 2020 | MICCAI | SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. | Christoph Baur, Robert Graf, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2020 | MICCAI | Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. | Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | On the Fairness of Privacy-Preserving Representations in Medical Applications. | Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni |
| 2020 | MICCAI | Retinal Layer Segmentation Reformulated as OCT Language Processing. | Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghih Roohi, Nassir Navab |
| 2020 | MICCAI | Inverse Distance Aggregation for Federated Learning with Non-IID Data. | Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Graph Convolution Based Attention Model for Personalized Disease Prediction. | Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab |
| 2019 | MICCAI | Learning Interpretable Features via Adversarially Robust Optimization. | Ashkan Khakzar, Shadi Albarqouni, Nassir Navab |
| 2019 | MICCAI | Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. | Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman |
| 2019 | MICCAI | Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. | Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami |
| 2019 | MICCAI | Learning Interpretable Disentangled Representations Using Adversarial VAEs. | Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni |
| 2018 | BMVC | Scene Coordinate and Correspondence Learning for Image-Based Localization. | Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab |
| 2018 | ICRA | When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. | Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab |
| 2018 | MICCAI | Generating Highly Realistic Images of Skin Lesions with GANs. | Christoph Baur, Shadi Albarqouni, Nassir Navab |
| 2018 | MICCAI | Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. | Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab |
| 2018 | MICCAI | Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. | Katharina Breininger, Tobias Wrfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier |
| 2018 | MICCAI | Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. | Markus A. Degel, Nassir Navab, Shadi Albarqouni |
| 2018 | MICCAI | Capsule Networks Against Medical Imaging Data Challenges. | Amelia Jimnez-Snchez, Shadi Albarqouni, Diana Mateus |
| 2017 | MICCAI | X-Ray In-Depth Decomposition: Revealing the Latent Structures. | Shadi Albarqouni, Javad Fotouhi, Nassir Navab |
| 2017 | MICCAI | Semi-supervised Deep Learning for Fully Convolutional Networks. | Christoph Baur, Shadi Albarqouni, Nassir Navab |
| 2017 | MICCAI | Automatic Classification of Proximal Femur Fractures Based on Attention Models. | Anees Kazi, Shadi Albarqouni, Amelia Jimnez-Snchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus |
| 2017 | WACV | X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices. | Mai Bui, Shadi Albarqouni, Michael Schrapp, Nassir Navab, Slobodan Ilic |
| 2016 | MICCAI | Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research. | Shadi Albarqouni, Stefan Matl, Maximilian Baust, Nassir Navab, Stefanie Demirci |
| 2015 | BMVC | Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. | Shadi Albarqouni, Maximilian Baust, Sailesh Conjeti, Asharf Al-Amoudi, Nassir Navab |