Shadi Albarqouni

148 papers A* 4A 3Journal 81Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings BRIDGE/DeCaF@MICCAI Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke
2026	J	`jnl`	K-MaT: Knowledge-Anchored Manifold Transport for Cross-Modal Prompt Learning in Medical Imaging. CoRR Jiajun Zeng, Shadi Albarqouni
2026	J	`jnl`	PromptGate Client Adaptive Vision Language Gating for Open Set Federated Active Learning. CoRR Adea Nesturi, David Dueñas Gaviria, Jiajun Zeng, Shadi Albarqouni
2025	—	`conf`	Bias and Generalizability of Foundation Models Across Datasets in Breast Mammography. MICCAI (14) Elodie Germani, Ilayda Selin Türk, Fatima Zeineddine, Charbel Mourad, Shadi Albarqouni
2025	J	`jnl`	Bias and Generalizability of Foundation Models across Datasets in Breast Mammography. CoRR Elodie Germani, Ilayda Selin Türk, Fatima Zeineddine, Charbel Mourad, Shadi Albarqouni
2025	J	`jnl`	INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading. CoRR Mert Ikinci, Luna Toma, Karin U. Loeffler, Leticia Ussem, Daniela Süsskind, Julia M. Weller, Yousef Yeganeh, Martina C. Herwig-Carl, Shadi Albarqouni
2025	J	`jnl`	MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI. CoRR Malek Al Abed, Sebiha Demir, Anne Groteklaes, Elodie Germani, Shahrooz Faghihroohi, Hemmen Sabir, Shadi Albarqouni
2025	J	`jnl`	ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation. CoRR Aya Elgebaly, Nikolaos Delopoulos, Juliane Hörner-Rieber, Carolin Rippke, Sebastian Klüter, Luca Boldrini, Lorenzo Placidi, Riccardo Dal Bello, Nicolaus Andratschke, Michael Baumgartl, Claus Belka, Christopher Kurz, Guillaume Landry, Shadi Albarqouni
2024	—	`conf`	Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography. OMIA@MICCAI Elyes Farjallah, Said El Shamieh, Razieh Rezaei, Philipp Herrmann, Sandrine H. Künzel, Frank G. Holz, Shadi Albarqouni
2024	—	`conf`	Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell Arteritis. MICAD Sarah Schaab, Claus-Jürgen Bauer, Valentin Schäfer, Shadi Albarqouni
2024	—	`conf`	CloverNet - Leveraging Planning Annotations for Enhanced Procedural MR Segmentation: An Application to Adaptive Radiation Therapy. CLIP@MICCAI Francesca De Benetti, Yousef Yaganeh, Claus Belka, Stefanie Corradini, Nassir Navab, Christopher Kurz, Guillaume Landry, Shadi Albarqouni, Thomas Wendler
2024	—	`conf`	Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma. MICAD David Dueñas Gaviria, Patrick Kupczyk, Belinda Lee, Peter Gibbs, Hyun Ko, Alexander Semaan, Shadi Albarqouni
2024	J	`jnl`	Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference. Medical Image Anal. Shadi Albarqouni, Christian F. Baumgartner, Qi Dou, Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman
2024	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 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, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
2023	J	`jnl`	Digital Staining of White Blood Cells With Confidence Estimation. IEEE Trans. Medical Imaging Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Nassir Navab, Shadi Albarqouni
2023	J	`jnl`	Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li
2023	A*	`conf`	Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI 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
2023	A*	`conf`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
2023	J	`jnl`	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR Duy M. H. Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
2023	J	`jnl`	LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR 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, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings ISIC/Care-AI/MedAGI/DeCaF@MICCAI M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2022	—	`conf`	Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2022	J	`jnl`	Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2022	—	`ed.`	Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022	A*	`conf`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	J	`jnl`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
2022	J	`jnl`	FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. CoRR Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni
2022	J	`jnl`	Federated disentangled representation learning for unsupervised brain anomaly detection. Nat. Mach. Intell. Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2022	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland. MIDL Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni
2022	J	`jnl`	Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag
2022	J	`jnl`	ROAM: Random layer mixup for semi-supervised learning in medical images. IET Image Process. Tariq M. Bdair, Benedikt Wiestler, Nassir Navab, Shadi Albarqouni
2022	—	`conf`	Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche
2022	J	`jnl`	Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images. CoRR Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche
2022	—	`conf`	Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. MICCAI (3) Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
2022	J	`jnl`	Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. CoRR Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
2022	J	`jnl`	Virtual embeddings and self-consistency for self-supervised learning. CoRR Tariq M. Bdair, Hossam Abdelhamid, Nassir Navab, Shadi Albarqouni
2022	—	`conf`	What Can We Learn About a Generated Image Corrupting Its Latent Representation? MICCAI (6) Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni
2022	J	`jnl`	What can we learn about a generated image corrupting its latent representation? CoRR Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni
2021	J	`jnl`	Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study. Medical Image Anal. Christoph Baur, Stefan Denner, Benedikt Wiestler, Nassir Navab, Shadi Albarqouni
2021	—	`conf`	Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation. ISBI Tetiana Klymenko, Seong Tae Kim, Kirsten Lauber, Christopher Kurz, Guillaume Landry, Nassir Navab, Shadi Albarqouni
2021	—	`ed.`	Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings CLIP/DCL/LL-COVID19/PPML@MICCAI Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
2021	—	`ed.`	Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu
2021	J	`jnl`	FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. CoRR Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
2021	—	`conf`	FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification. MICCAI (3) Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
2021	—	`conf`	Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021	J	`jnl`	Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021	J	`jnl`	Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes. IEEE Trans. Medical Imaging Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Frank Forster, Nassir Navab, Shadi Albarqouni
2021	J	`jnl`	Peer Learning for Skin Lesion Classification. CoRR Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
2021	J	`jnl`	Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. IEEE J. Biomed. Health Informatics Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2021	—	`conf`	Semi-Supervised Few-Shot Learning with Prototypical Random Walks. MetaDL@AAAI Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny
2021	—	`conf`	Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021	J	`jnl`	Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
2021	J	`jnl`	The Federated Tumor Segmentation (FeTS) Challenge. CoRR Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas
2021	—	`conf`	The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni
2020	—	`conf`	6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
2020	J	`jnl`	6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
2020	J	`jnl`	A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks. CoRR Roger D. Soberanis-Mukul, Maxime Kayser, Anna-Maria Zvereva, Peter Klare, Nassir Navab, Shadi Albarqouni
2020	J	`jnl`	An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. CoRR Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
2020	—	`conf`	Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020	J	`jnl`	Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
2020	J	`jnl`	Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study. CoRR Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2020	—	`conf`	Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri. ISBI Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2020	—	`ed.`	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
2020	—	`conf`	Fairness by Learning Orthogonal Disentangled Representations. ECCV (29) Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
2020	J	`jnl`	Fairness by Learning Orthogonal Disentangled Representations. CoRR Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
2020	J	`jnl`	GANs for medical image analysis. Artif. Intell. Medicine Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2020	J	`jnl`	Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. IEEE Trans. Medical Imaging Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
2020	—	`conf`	Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
2020	J	`jnl`	Inverse Distance Aggregation for Federated Learning with Non-IID Data. CoRR Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
2020	J	`jnl`	Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations. IET Image Process. Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami
2020	—	`conf`	On the Fairness of Privacy-Preserving Representations in Medical Applications. DART/DCL@MICCAI Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
2020	J	`jnl`	Polyp-artifact relationship analysis using graph inductive learned representations. CoRR Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
2020	J	`jnl`	Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
2020	J	`jnl`	ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. CoRR Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
2020	—	`conf`	Retinal Layer Segmentation Reformulated as OCT Language Processing. MICCAI (5) Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghih Roohi, Nassir Navab
2020	—	`conf`	Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. MICCAI (4) Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2020	J	`jnl`	Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. CoRR Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2020	—	`conf`	SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. MICCAI (2) Christoph Baur, Robert Graf, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2020	J	`jnl`	The Future of Digital Health with Federated Learning. CoRR Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	J	`jnl`	The future of digital health with federated learning. npj Digit. Medicine Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	—	`conf`	Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement. MIDL Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
2019	—	`conf`	Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Adaptive image-feature learning for disease classification using inductive graph networks. CoRR Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
2019	J	`jnl`	Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement. CoRR Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni
2019	—	`conf`	Adversarial Networks for Camera Pose Regression and Refinement. ICCV Workshops Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni
2019	J	`jnl`	An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. CoRR Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
2019	—	`ed.`	Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
2019	—	`conf`	Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation. MIDL Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2019	—	`conf`	Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. CoRR Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
2019	—	`conf`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Learn to Estimate Labels Uncertainty for Quality Assurance. CoRR Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni
2019	J	`jnl`	Learn to Segment Organs with a Few Bounding Boxes. CoRR Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni
2019	—	`conf`	Learning Interpretable Disentangled Representations Using Adversarial VAEs. DART/MIL3ID@MICCAI Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
2019	J	`jnl`	Learning Interpretable Disentangled Representations using Adversarial VAEs. CoRR Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
2019	—	`conf`	Learning Interpretable Features via Adversarially Robust Optimization. MICCAI (6) Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Learning Interpretable Features via Adversarially Robust Optimization. CoRR Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
2019	—	`conf`	Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations. MICCAI (6) Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab
2019	J	`jnl`	MRI to CT Translation with GANs. CoRR Bodo Kaiser, Shadi Albarqouni
2019	—	`ed.`	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 MLMECH/CVII-STENT@MICCAI Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci
2019	—	`conf`	Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. MICCAI (1) Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami
2019	J	`jnl`	Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. CoRR Mhd Hasan Sarhan, Shadi Albarqouni, Nassir Navab, Abouzar Eslami
2019	—	`conf`	Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. MICCAI (1) Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2019	J	`jnl`	Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. CoRR Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
2019	J	`jnl`	Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system. Int. J. Comput. Assist. Radiol. Surg. Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Julie DiNitto, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab
2019	—	`conf`	Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab
2019	J	`jnl`	Semi-Supervised Few-Shot Learning with Local and Global Consistency. CoRR Ahmed Ayyad, Nassir Navab, Mohamed Elhoseiny, Shadi Albarqouni
2019	—	`conf`	Staingan: Stain Style Transfer for Digital Histological Images. ISBI M. Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni
2019	J	`jnl`	Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
2019	—	`conf`	Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach. ECDP Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
2018	J	`jnl`	A photon recycling approach to the denoising of ultra-low dose X-ray sequences. Int. J. Comput. Assist. Radiol. Surg. Sai Gokul Hariharan, Norbert Strobel, Christian Kaethner, Markus Kowarschik, Stefanie Demirci, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab
2018	—	`conf`	Capsule Networks Against Medical Imaging Data Challenges. CVII-STENT/LABELS@MICCAI Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
2018	J	`jnl`	Capsule Networks against Medical Imaging Data Challenges. CoRR Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
2018	—	`conf`	Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI (1) Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. CoRR Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
2018	—	`conf`	Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. MICCAI (4) Markus A. Degel, Nassir Navab, Shadi Albarqouni
2018	J	`jnl`	Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. CoRR Markus A. Degel, Nassir Navab, Shadi Albarqouni
2018	J	`jnl`	GANs for Medical Image Analysis. CoRR Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
2018	—	`conf`	Generating Highly Realistic Images of Skin Lesions with GANs. OR 2.0/CARE/CLIP/ISIC@MICCAI Christoph Baur, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	Generating Highly Realistic Images of Skin Lesions with GANs. CoRR Christoph Baur, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. Katharina Breininger, Shadi Albarqouni, Tanja Kurzendorfer, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
2018	—	`ed.`	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 CVII-STENT/LABELS@MICCAI Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin
2018	J	`jnl`	MelanoGANs: High Resolution Skin Lesion Synthesis with GANs. CoRR Christoph Baur, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction. CoRR Anees Kazi, Shadi Albarqouni, Karsten U. Kortuem, Nassir Navab
2018	—	`conf`	Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier
2018	A	`conf`	Scene Coordinate and Correspondence Learning for Image-Based Localization. BMVC Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2018	J	`jnl`	Scene Coordinate and Correspondence Learning for Image-Based Localization. CoRR Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2018	J	`jnl`	Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab
2018	J	`jnl`	StainGAN: Stain Style Transfer for Digital Histological Images. CoRR M. Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni
2018	J	`jnl`	Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach. CoRR Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
2018	J	`jnl`	Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab
2018	A*	`conf`	When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. ICRA Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2018	J	`jnl`	When Regression Meets Manifold Learning for Object Recognition and Pose Estimation. CoRR Mai Bui, Sergey Zakharov, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
2017	—	`conf`	Automatic Classification of Proximal Femur Fractures Based on Attention Models. MLMI@MICCAI Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus
2017	J	`jnl`	Auxiliary Manifold Embedding for Fully Convolutional Networks. CoRR Christoph Baur, Shadi Albarqouni, Nassir Navab
2017	—	`ed.`	Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings CVII-STENT/LABELS@MICCAI M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro
2017	—	`conf`	Semi-supervised Deep Learning for Fully Convolutional Networks. MICCAI (3) Christoph Baur, Shadi Albarqouni, Nassir Navab
2017	—	`conf`	X-Ray In-Depth Decomposition: Revealing the Latent Structures. MICCAI (3) Shadi Albarqouni, Javad Fotouhi, Nassir Navab
2017	A	`conf`	X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices. WACV Mai Bui, Shadi Albarqouni, Michael Schrapp, Nassir Navab, Slobodan Ilic
2016	J	`jnl`	AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. IEEE Trans. Medical Imaging Shadi Albarqouni, Christoph Baur, Felix Achilles, Vasileios Belagiannis, Stefanie Demirci, Nassir Navab
2016	—	`conf`	CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes. MIAR Christoph Baur, Shadi Albarqouni, Stefanie Demirci, Nassir Navab, Pascal Fallavollita
2016	—	`conf`	Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research. LABELS/DLMIA@MICCAI Shadi Albarqouni, Stefan Matl, Maximilian Baust, Nassir Navab, Stefanie Demirci
2016	J	`jnl`	Single-view X-ray depth recovery: toward a novel concept for image-guided interventions. Int. J. Comput. Assist. Radiol. Surg. Shadi Albarqouni, Ulrich Konrad, Lichao Wang, Nassir Navab, Stefanie Demirci
2016	J	`jnl`	Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images. IEEE Trans. Medical Imaging Abhishek Vahadane, Tingying Peng, Amit Sethi, Shadi Albarqouni, Lichao Wang, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Irene Esposito, Nassir Navab
2016	J	`jnl`	X-ray In-Depth Decomposition: Can Deep Learning Reveal The Latent Structures? CoRR Shadi Albarqouni, Javad Fotouhi, Nassir Navab
2015	A	`conf`	Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data. BMVC Shadi Albarqouni, Maximilian Baust, Sailesh Conjeti, Asharf Al-Amoudi, Nassir Navab
2015	—	`conf`	Structure-preserved color normalization for histological images. ISBI Abhishek Vahadane, Tingying Peng, Shadi Albarqouni, Maximilian Baust, Katja Steiger, Anna Melissa Schlitter, Amit Sethi, Irene Esposito, Nassir Navab