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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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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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Pose-dependent weights and Domain Randomization for fully automatic X-ray to CT Registration


Nov 14, 2020
Matthias Grimm, Javier Esteban, Mathias Unberath, Nassir Navab


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Self-Supervised Out-of-Distribution Detection in Brain CT Scans


Nov 10, 2020
Abinav Ravi Venkatakrishnan, Seong Tae Kim, Rami Eisawy, Franz Pfister, Nassir Navab

* Accepted at Medical Imaging Meets NeurIPS Workshop at NeurIPS 2020 

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Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback


Oct 30, 2020
Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab


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Surgical Data Science -- from Concepts to Clinical Translation


Oct 30, 2020
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park, Carla Pugh, Danail Stoyanov, Swaroop S. Vedula, Beat Peter Müller, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor Grantcharov, Makoto Hashizume, Hannes Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Raphael Sznitman, Russell Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Pierre Jannin, Stefanie Speidel


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Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds


Oct 28, 2020
Stefano Gasperini, Mohammad-Ali Nikouei Mahani, Alvaro Marcos-Ramiro, Nassir Navab, Federico Tombari

* Under review for RA-L with ICRA 2021 option 

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SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion


Oct 26, 2020
Shun-Cheng Wu, Keisuke Tateno, Nassir Navab, Federico Tombari

* Accepted in International Conference on 3D Vision 2020 

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Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration


Oct 18, 2020
Mahdi Saleh, Shervin Dehghani, Benjamin Busam, Nassir Navab, Federico Tombari


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RGB-D SLAM with Structural Regularities


Oct 15, 2020
Yanyan Li, Raza Yunus, Nikolas Brasch, Nassir Navab, Federico Tombari


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I Like to Move It: 6D Pose Estimation as an Action Decision Process


Sep 26, 2020
Benjamin Busam, Hyun Jun Jung, Nassir Navab


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Polyp-artifact relationship analysis using graph inductive learned representations


Sep 15, 2020
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab


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