Shadi Albarqouni

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 123

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

Int. J. Comput. Assist. Radiol. Surg.

Publications

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
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28 (3) (2024)
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
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. NeurIPS (2023)
Duy M. H. Nguyen, Hoang Nguyen, Nghiem Diep, Tan N. Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. CoRR (2023)
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
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR (2023)
Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Nassir Navab, Shadi Albarqouni
Digital Staining of White Blood Cells With Confidence Estimation. IEEE Trans. Medical Imaging 42 (12) (2023)
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
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering. AAAI (2023)
Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging 42 (7) (2023)
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. MICCAI (3) (2022)
Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni
What Can We Learn About a Generated Image Corrupting Its Latent Representation? MICCAI (6) (2022)
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 S. Silva R., Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR (2022)
Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche
Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI (2022)
Tariq M. Bdair, Hossam Abdelhamid, Nassir Navab, Shadi Albarqouni
Virtual embeddings and self-consistency for self-supervised learning. CoRR (2022)
Tariq M. Bdair, Benedikt Wiestler, Nassir Navab, Shadi Albarqouni
ROAM: Random layer mixup for semi-supervised learning in medical images. IET Image Process. 16 (10) (2022)
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
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS (2022)
Raheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification. CoRR (2022)
Agnieszka Tomczak, Aarushi Gupta, Slobodan Ilic, Nassir Navab, Shadi Albarqouni
What can we learn about a generated image corrupting its latent representation? CoRR (2022)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-Aware Multiple Instance Learning for Rare Anemia Disorder Classification. MICCAI (8) (2022)
Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. CoRR (2022)
Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images. CoRR (2022)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
Federated disentangled representation learning for unsupervised brain anomaly detection. Nat. Mach. Intell. 4 (8) (2022)
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
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. CoRR (2022)
Salome Kazeminia, Ario Sadafi, Asya Makhro, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Anomaly-aware multiple instance learning for rare anemia disorder classification. CoRR (2022)
Christoph Baur, Stefan Denner, Benedikt Wiestler, Nassir Navab, Shadi Albarqouni
Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study. Medical Image Anal. 69 (2021)
Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
FedPerl: Semi-supervised Peer Learning for Skin Lesion Classification. MICCAI (3) (2021)
Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny
Semi-Supervised Few-Shot Learning with Prototypical Random Walks. MetaDL@AAAI (2021)
Agnieszka Tomczak, Slobodan Ilic, Gaby Marquardt, Thomas Engel, Frank Forster, Nassir Navab, Shadi Albarqouni
Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes. IEEE Trans. Medical Imaging 40 (10) (2021)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. ISBI (2021)
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
The Federated Tumor Segmentation (FeTS) Challenge. CoRR (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks. CoRR (2021)
Ario Sadafi, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Sickle Cell Disease Severity Prediction from Percoll Gradient Images Using Graph Convolutional Networks. DART/FAIR@MICCAI (2021)
Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
Peer Learning for Skin Lesion Classification. CoRR (2021)
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr
Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias. CoRR (2021)
Amal Lahiani, Irina Klaman, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation. CoRR (2021)
Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni
The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL (2021)
Tetiana Klymenko, Seong Tae Kim, Kirsten Lauber, Christopher Kurz, Guillaume Landry, Nassir Navab, Shadi Albarqouni
Butterfly-Net: Spatial-Temporal Architecture For Medical Image Segmentation. ISBI (2021)
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
On the Fairness of Privacy-Preserving Representations in Medical Applications. DART/DCL@MICCAI (2020)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. MICCAI (4) (2020)
Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study. CoRR (2020)
Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. IEEE Trans. Medical Imaging 39 (7) (2020)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention Based Multiple Instance Learning for Classification of Blood Cell Disorders. MICCAI (5) (2020)
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR (2020)
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
The future of digital health with federated learning. npj Digit. Medicine 3 (2020)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. 15 (5) (2020)
Ario Sadafi, Asya Makhro, Anna Bogdanova, Nassir Navab, Tingying Peng, Shadi Albarqouni, Carsten Marr
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders. CoRR (2020)
Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghih Roohi, Nassir Navab
Retinal Layer Segmentation Reformulated as OCT Language Processing. MICCAI (5) (2020)
Roger D. Soberanis-Mukul, Maxime Kayser, Anna-Maria Zvereva, Peter Klare, Nassir Navab, Shadi Albarqouni
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks. CoRR (2020)
Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data. CoRR (2020)
Tariq M. Bdair, Nassir Navab, Shadi Albarqouni
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. CoRR (2020)
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement. MIDL (2020)
Christoph Baur, Robert Graf, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. MICCAI (2) (2020)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri. ISBI (2020)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. CoRR (2020)
Salome Kazeminia, Christoph Baur, Arjan Kuijper, Bram van Ginneken, Nassir Navab, Shadi Albarqouni, Anirban Mukhopadhyay
GANs for medical image analysis. Artif. Intell. Medicine 109 (2020)
Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami
Microaneurysms segmentation and diabetic retinopathy detection by learning discriminative representations. IET Image Process. 14 (17) (2020)
Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI (2020)
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
Polyp-artifact relationship analysis using graph inductive learned representations. CoRR (2020)
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) (2020)
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. CoRR (2020)
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
Fairness by Learning Orthogonal Disentangled Representations. CoRR (2020)
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni
Fairness by Learning Orthogonal Disentangled Representations. ECCV (29) (2020)
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
The Future of Digital Health with Federated Learning. CoRR (2020)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. IPMI (2019)
Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
Learning Interpretable Features via Adversarially Robust Optimization. MICCAI (6) (2019)
Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. MICCAI (1) (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Benedikt Wiestler, Karsten Kortüm, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
Graph Convolution Based Attention Model for Personalized Disease Prediction. MICCAI (4) (2019)
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation. CoRR (2019)
Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement. CoRR (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. ISBI (2019)
Bodo Kaiser, Shadi Albarqouni
MRI to CT Translation with GANs. CoRR (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks. CoRR (2019)
Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. CoRR (2019)
Hendrik Burwinkel, Anees Kazi, Gerome Vivar, Shadi Albarqouni, Guillaume Zahnd, Nassir Navab, Seyed-Ahmad Ahmadi
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks. MICCAI (6) (2019)
Mhd Hasan Sarhan, Shadi Albarqouni, Mehmet Yigitsoy, Nassir Navab, Abouzar Eslami
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. MICCAI (1) (2019)
Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
Learning Interpretable Disentangled Representations using Adversarial VAEs. CoRR (2019)
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach. ECDP (2019)
Mhd Hasan Sarhan, Abouzar Eslami, Nassir Navab, Shadi Albarqouni
Learning Interpretable Disentangled Representations Using Adversarial VAEs. DART/MIL3ID@MICCAI (2019)
Agnieszka Tomczack, Nassir Navab, Shadi Albarqouni
Learn to Estimate Labels Uncertainty for Quality Assurance. CoRR (2019)
Mohammad Eslami, Solale Tabarestani, Shadi Albarqouni, Ehsan Adeli, Nassir Navab, Malek Adjouadi
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography. CoRR (2019)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation. MIDL (2019)
Abhijeet Parida, Arianne Tran, Nassir Navab, Shadi Albarqouni
Learn to Segment Organs with a Few Bounding Boxes. CoRR (2019)
Mhd Hasan Sarhan, Shadi Albarqouni, Nassir Navab, Abouzar Eslami
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss. CoRR (2019)
Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab
Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations. MICCAI (6) (2019)
Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni
Adversarial Networks for Camera Pose Regression and Refinement. ICCV Workshops (2019)
Ashkan Khakzar, Shadi Albarqouni, Nassir Navab
Learning Interpretable Features via Adversarially Robust Optimization. CoRR (2019)
Ahmed Ayyad, Nassir Navab, Mohamed Elhoseiny, Shadi Albarqouni
Semi-Supervised Few-Shot Learning with Local and Global Consistency. CoRR (2019)
Amal Lahiani, Nassir Navab, Shadi Albarqouni, Eldad Klaiman
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer. CoRR (2019)
Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Julie DiNitto, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab
Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system. Int. J. Comput. Assist. Radiol. Surg. 14 (7) (2019)
M. Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni
Staingan: Stain Style Transfer for Digital Histological Images. ISBI (2019)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR (2019)
Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten Kortuem, Shadi Albarqouni, Nassir Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction. CoRR (2018)
Christoph Baur, Shadi Albarqouni, Nassir Navab
Generating Highly Realistic Images of Skin Lesions with GANs. OR 2.0/CARE/CLIP/ISIC@MICCAI (2018)
Christoph Baur, Shadi Albarqouni, Nassir Navab
Generating Highly Realistic Images of Skin Lesions with GANs. CoRR (2018)
M. Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni
StainGAN: Stain Style Transfer for Digital Histological Images. CoRR (2018)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab
Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR (2018)
Mai Bui, Shadi Albarqouni, Slobodan Ilic, Nassir Navab
Scene Coordinate and Correspondence Learning for Image-Based Localization. CoRR (2018)
Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI (2018)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI (1) (2018)
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images. CoRR (2018)
Katharina Breininger, Shadi Albarqouni, Tanja Kurzendorfer, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. 13 (8) (2018)

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Publication Activity (10 Years)

Top Topics

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Shadi Albarqouni