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Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs


Aug 19, 2021
Helisa Dhamo, Fabian Manhardt, Nassir Navab, Federico Tombari

* accepted to ICCV 2021 

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SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation


Aug 18, 2021
Yan Di, Fabian Manhardt, Gu Wang, Xiangyang Ji, Nassir Navab, Federico Tombari

* ICCV2021 

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Unconditional Scene Graph Generation


Aug 12, 2021
Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari

* accepted for publication at ICCV 2021 

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Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry


Aug 10, 2021
Markus Krönke, Christine Eilers, Desislava Dimova, Melanie Köhler, Gabriel Buschner, Lilit Mirzojan, Lemonia Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber, Thomas Wendler

* 7 figures, 19 pages, under review 

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R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes


Aug 10, 2021
Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari

* Currently under review 

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U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction


Jul 29, 2021
Matthias Keicher, Hendrik Burwinkel, David Bani-Harouni, Magdalini Paschali, Tobias Czempiel, Egon Burian, Marcus R. Makowski, Rickmer Braren, Nassir Navab, Thomas Wendler

* 18 pages, 5 figures, submitted to Medical Image Analysis 

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Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP


Jul 26, 2021
Daniil Pakhomov, Sanchit Hira, Narayani Wagle, Kemar E. Green, Nassir Navab


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Deformation-Aware Robotic 3D Ultrasound


Jul 18, 2021
Zhongliang Jiang, Yue Zhou, Yuan Bi, Mingchuan Zhou, Thomas Wendler, Nassir Navab

* Accepted for publication in IEEE Robotics and Automation Letters; Video: https://www.youtube.com/watch?v=MlZtugQ2cvQ 

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Motion-Aware Robotic 3D Ultrasound


Jul 13, 2021
Zhongliang Jiang, Hanyu Wang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Ulrich Eck, Sandra V. Brecht, Tim C. Lueth, Thomas Wendler, Nassir Navab

* Accepted to ICRA2021 

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Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images


Jun 09, 2021
Jakob Weiss, Nassir Navab


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Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures


Jun 09, 2021
Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Federico Tombari, Nassir Navab


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Rethinking Ultrasound Augmentation: A Physics-Inspired Approach


May 05, 2021
Maria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab


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GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference


Apr 08, 2021
Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh SoleymaniBaghshah, Hamid R. Rabiee, Nassir Navab


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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models


Apr 04, 2021
Ashkan Khakzar, Sabrina Musatian, Jonas Buchberger, Icxel Valeriano Quiroz, Nikolaus Pinger, Soroosh Baselizadeh, Seong Tae Kim, Nassir Navab


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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features


Apr 01, 2021
Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab


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Neural Response Interpretation through the Lens of Critical Pathways


Mar 31, 2021
Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab

* Accepted at CVPR 2021 (IEEE/CVF Conference on Computer Vision and Pattern Recognition) 

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SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences


Mar 31, 2021
Shun-Cheng Wu, Johanna Wald, Keisuke Tateno, Nassir Navab, Federico Tombari

* Proceedings IEEE Computer Vision and Pattern Recognition (CVPR), 2021 

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IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction


Mar 29, 2021
Anees Kazi, Soroush Farghadani, Nassir Navab

* 10 pages, 1 figure 

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Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning


Mar 23, 2021
Christina Bukas, Bailiang Jian, Luis F. Rodriguez Venegas, Francesca De Benetti, Sebastian Ruehling, Anjany Sekuboyina, Jens Gempt, Jan S. Kirschke, Marie Piraud, Johannes Oberreuter, Nassir Navab, Thomas Wendler

* 7 pages, 5 figures, 5 tables 

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GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images


Mar 19, 2021
Aadhithya Sankar, Matthias Keicher, Rami Eisawy, Abhijeet Parida, Franz Pfister, Seong Tae Kim, Nassir Navab

* 12 pages, 7 figures 

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Fourier Transform of Percoll Gradients Boosts CNN Classification of Hereditary Hemolytic Anemias


Mar 17, 2021
Ario Sadafi, Lucía María Moya Sans, Asya Makhro, Leonid Livshits, Nassir Navab, Anna Bogdanova, Shadi Albarqouni, Carsten Marr

* Accepted for publication at the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021) 

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Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data


Mar 16, 2021
Megha Kalia, Tajwar Abrar Aleef, Nassir Navab, Septimiu E. Salcudean

* 11 pages, 3 figures 

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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs


Mar 12, 2021
Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler

* 10 pages, 2 figures 

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Peer Learning for Skin Lesion Classification


Mar 08, 2021
Tariq Bdair, Nassir Navab, Shadi Albarqouni


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OperA: Attention-Regularized Transformers for Surgical Phase Recognition


Mar 05, 2021
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab

* 10 pages, 3 figures 

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RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data


Feb 27, 2021
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab


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Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation


Dec 20, 2020
Haowen Deng, Mai Bui, Nassir Navab, Leonidas Guibas, Slobodan Ilic, Tolga Birdal

* arXiv admin note: text overlap with arXiv:2004.04807 

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An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation


Dec 06, 2020
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni

* Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org 

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Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods


Dec 01, 2020
Ashkan Khakzar, Soroosh Baselizadeh, Nassir Navab

* ICML 2020 - Workshop on Human Interpretability in Machine Learning - Spotlight paper - Video at http://whi2020.online/poster_40.html 

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