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ORCIDNassir Navab
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2020
[j199]Daniel Ostler, Matthias Seibold, Jonas Fuchtmann, Nicole Samm, Hubertus Feussner, Dirk Wilhelm, Nassir Navab:
Acoustic signal analysis of instrument-tissue interaction for minimally invasive interventions. Int. J. Comput. Assist. Radiol. Surg. 15(5): 771-779 (2020)- [j198]Matthias Grimm
, Hessam Roodaki, Abouzar Eslami, Nassir Navab:
Automatic intraoperative optical coherence tomography positioning. Int. J. Comput. Assist. Radiol. Surg. 15(5): 781-789 (2020) - [j197]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): 847-857 (2020) - [j196]Mustafa Haiderbhai, Sergio Ledesma, Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Nassir Navab, Pascal Fallavollita:
pix2xray: converting RGB images into X-rays using generative adversarial networks. Int. J. Comput. Assist. Radiol. Surg. 15(6): 973-980 (2020) - [j195]Megha Kalia, Prateek Mathur, Keith Tsang, Peter C. Black, Nassir Navab, Septimiu Salcudean:
Evaluation of a marker-less, intra-operative, augmented reality guidance system for robot-assisted laparoscopic radical prostatectomy. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1225-1233 (2020) - [j194]Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl, Nassir Navab, Christian Wachinger:
'Squeeze & excite' guided few-shot segmentation of volumetric images. Medical Image Anal. 59 (2020) - [j193]Zahra Kamranian, Ahmad Reza Naghsh-Nilchi, Hamid Sadeghian, Federico Tombari, Nassir Navab:
Joint motion boundary detection and CNN-based feature visualization for video object segmentation. Neural Comput. Appl. 32(8): 4073-4091 (2020) - [j192]Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1333-1347 (2020) - [j191]Tom Vercauteren, Mathias Unberath, Nicolas Padoy, Nassir Navab:
CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions. Proc. IEEE 108(1): 198-214 (2020) - [j190]Zhongliang Jiang, Matthias Grimm, Mingchuan Zhou, Javier Esteban, Walter Simson, Guillaume Zahnd, Nassir Navab:
Automatic Normal Positioning of Robotic Ultrasound Probe Based Only on Confidence Map Optimization and Force Measurement. IEEE Robotics Autom. Lett. 5(2): 1342-1349 (2020) - [j189]Javad Fotouhi, Mathias Unberath, Nassir Navab, Tianyu Song, Arian Mehrfard, Giacomo Taylor, Qiaochu Wang, Fengfan Xian, Alejandro Martin-Gomez, Bernhard Fuerst, Mehran Armand:
Reflective-AR Display: An Interaction Methodology for Virtual-to-Real Alignment in Medical Robotics. IEEE Robotics Autom. Lett. 5(2): 2722-2729 (2020) - [j188]Sahar Hosseinian, Hossein Arefi, Nassir Navab:
Toward an End-to-End Calibration for Mobile C-Arm in Combination with a Depth Sensor for Surgical Augmented Reality Applications. Sensors 20(1): 36 (2020) - [j187]Nazila Esmaeili, Alfredo Illanes, Axel Boese, Nikolaos Davaris, Christoph Arens, Nassir Navab, Michael Friebe:
Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach. Sensors 20(14): 4018 (2020) - [j186]Mingchuan Zhou, Qiming Yu, Kai Huang, Simeon Mahov, Abouzar Eslami, Mathias Maier, Chris P. Lohmann, Nassir Navab, Daniel Zapp, Alois C. Knoll, M. Ali Nasseri:
Towards Robotic-Assisted Subretinal Injection: A Hybrid Parallel-Serial Robot System Design and Preliminary Evaluation. IEEE Trans. Ind. Electron. 67(8): 6617-6628 (2020) - [j185]Matthias N. van Oosterom, Henk G. van der Poel, Fijs W. B. van Leeuwen, Philippa Meershoek, Mick M. Welling, Francisco Pinto, Philipp Matthies, Hervé Simon, Thomas Wendler, Nassir Navab, Cornelis J. H. van de Velde:
Extending the Hybrid Surgical Guidance Concept With Freehand Fluorescence Tomography. IEEE Trans. Medical Imaging 39(1): 226-235 (2020) - [j184]Suhanyaa Nitkunanantharajah, Guillaume Zahnd, Malini Olivo, Nassir Navab, Pouyan Mohajerani, Vasilis Ntziachristos:
Skin Surface Detection in 3D Optoacoustic Mesoscopy Based on Dynamic Programming. IEEE Trans. Medical Imaging 39(2): 458-467 (2020) - [j183]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): 2553-2565 (2020) - [j182]Hemal Naik, Renaud Bastien, Nassir Navab, Iain D. Couzin:
Animals in Virtual Environments. IEEE Trans. Vis. Comput. Graph. 26(5): 2073-2083 (2020) - [c631]Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath:
Abstract: Learning to Avoid Poor Images. Bildverarbeitung für die Medizin 2020: 185 - [c630]Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions. CVPR 2020: 3960-3969 - [c629]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CVPR 2020: 5212-5221 - [c628]Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni:
Fairness by Learning Orthogonal Disentangled Representations. ECCV (29) 2020: 746-761 - [c627]Mustafa Haiderbhai, Sergio Ledesma, Nassir Navab, Pascal Fallavollita:
Generating X-ray Images from Point Clouds Using Conditional Generative Adversarial Networks. EMBC 2020: 1588-1591 - [c626]Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab:
Signal Clustering With Class-Independent Segmentation. ICASSP 2020: 3982-3986 - [c625]Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri. ISBI 2020: 1905-1909 - [c624]Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab:
Continual Class Incremental Learning for CT Thoracic Segmentation. DART/DCL@MICCAI 2020: 106-116 - [c623]Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni:
On the Fairness of Privacy-Preserving Representations in Medical Applications. DART/DCL@MICCAI 2020: 140-149 - [c622]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. DART/DCL@MICCAI 2020: 150-159 - [c621]Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr:
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. MICCAI (5) 2020: 174-183 - [c620]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: 246-256 - [c619]Jakob Weiss, Michael Sommersperger, M. Ali Nasseri, Abouzar Eslami, Ulrich Eck, Nassir Navab:
Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT. MICCAI (5) 2020: 267-276 - [c618]Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab:
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. MICCAI (3) 2020: 343-352 - [c617]Caroline Brendle, Laura Schütz, Javier Esteban, Sandro M. Krieg, Ulrich Eck, Nassir Navab:
Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. MICCAI (3) 2020: 399-408 - [c616]Alexander Winkler, Ulrich Eck, Nassir Navab:
Spatially-Aware Displays for Computer Assisted Interventions. MICCAI (3) 2020: 451-460 - [c615]Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi:
Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions. MICCAI (2) 2020: 540-550 - [c614]Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. MICCAI (4) 2020: 552-561 - [c613]Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. MICCAI (2) 2020: 572-581 - [c612]Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi:
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. MICCAI (2) 2020: 633-642 - [c611]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent-Graph Learning for Disease Prediction. MICCAI (2) 2020: 643-653 - [c610]Daniil Pakhomov, Nassir Navab:
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery. MICCAI (3) 2020: 648-656 - [c609]Arianne Tran, Jakob Weiss, Shadi Albarqouni, Shahrooz Faghih Roohi, Nassir Navab:
Retinal Layer Segmentation Reformulated as OCT Language Processing. MICCAI (5) 2020: 694-703 - [c608]Christoph Baur, Robert Graf, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI. MICCAI (2) 2020: 718-727 - [c607]Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Mazda Farshad, Nassir Navab:
Pivot calibration concept for sensor attached mobile c-arms. Medical Imaging: Image-Guided Procedures 2020: 1131503 - [c606]Alejandro Martin-Gomez, Ulrich Eck, Javad Fotouhi, Nassir Navab:
Looking Also From Another Perspective: Exploring the Benefits of Alternative Views for Alignment Tasks. VR Workshops 2020: 811-812 - [i182]Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl, Mazda Farshad, Nassir Navab:
Pivot calibration concept for sensor attached mobile c-arms. CoRR abs/2001.03075 (2020) - [i181]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 abs/2002.02883 (2020) - [i180]Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) Graph Convolutional Networks. CoRR abs/2002.04999 (2020) - [i179]Maria Tirindelli, Maria Victorova, Javier Esteban, Seong Tae Kim, David Navarro-Alarcon, Yong-Ping Zheng, Nassir Navab:
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level". CoRR abs/2002.11404 (2020) - [i178]Arian Mehrfard, Javad Fotouhi, Tess Forster, Giacomo Taylor, Danyal Fer, Deborah Nagle, Nassir Navab, Bernhard Fuerst:
On the Effectiveness of Virtual Reality-based Training for Robotic Setup. CoRR abs/2003.01540 (2020) - [i177]Javad Fotouhi, Arian Mehrfard, Tianyu Song, Alex Johnson, Greg Osgood, Mathias Unberath, Mehran Armand, Nassir Navab:
Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy. CoRR abs/2003.02260 (2020) - [i176]Javad Fotouhi, Giacomo Taylor, Mathias Unberath, Alex Johnson, Sing Chun Lee, Greg Osgood, Mehran Armand, Nassir Navab:
Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging. CoRR abs/2003.02294 (2020) - [i175]Javad Fotouhi, Xingtong Liu, Mehran Armand, Nassir Navab, Mathias Unberath:
From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching. CoRR abs/2003.02959 (2020) - [i174]Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni:
Fairness by Learning Orthogonal Disentangled Representations. CoRR abs/2003.05707 (2020) - [i173]Fabian Manhardt, Manuel Nickel, Sven Meier, Luca Minciullo, Nassir Navab:
CPS: Class-level 6D Pose and Shape Estimation From Monocular Images. CoRR abs/2003.05848 (2020) - [i172]Tariq Bdair, Nassir Navab, Shadi Albarqouni:
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. CoRR abs/2003.09439 (2020) - [i171]Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab:
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. CoRR abs/2003.10751 (2020) - [i170]Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli, Magdalini Paschali, Walter Simson, Emad Fatemizadeh, Nassir Navab:
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning. CoRR abs/2003.13321 (2020) - [i169]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent Patient Network Learning for Automatic Diagnosis. CoRR abs/2003.13620 (2020) - [i168]Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time. CoRR abs/2003.14127 (2020) - [i167]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Medical-based Deep Curriculum Learning for Improved Fracture Classification. CoRR abs/2004.00482 (2020) - [i166]Seong Tae Kim, Farrukh Mushtaq, Nassir Navab:
Confident Coreset for Active Learning in Medical Image Analysis. CoRR abs/2004.02200 (2020) - [i165]Christoph Baur, Stefan Denner, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study. CoRR abs/2004.03271 (2020) - [i164]Stefan Denner, Ashkan Khakzar, Moiz Sajid, Mahdi Saleh, Ziga Spiclin, Seong Tae Kim, Nassir Navab:
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation. CoRR abs/2004.03675 (2020) - [i163]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CoRR abs/2004.03677 (2020) - [i162]Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions. CoRR abs/2004.03967 (2020) - [i161]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 abs/2004.04807 (2020) - [i160]Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari:
Self6D: Self-Supervised Monocular 6D Object Pose Estimation. CoRR abs/2004.06468 (2020) - [i159]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori:
Colonoscope tracking method based on shape estimation network. CoRR abs/2004.09056 (2020) - [i158]Oliver Scheel, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Explicit Domain Adaptation with Loosely Coupled Samples. CoRR abs/2004.11995 (2020) - [i157]Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori:
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks. CoRR abs/2004.13629 (2020) - [i156]Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi:
Decision Support for Intoxication Prediction Using Graph Convolutional Networks. CoRR abs/2005.00840 (2020) - [i155]Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Ayse Mine Evren, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi:
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions. CoRR abs/2005.04454 (2020) - [i154]Gerome Vivar, Anees Kazi, Hendrik Burwinkel, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi:
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC). CoRR abs/2005.06935 (2020) - [i153]Hong Joo Lee, Seong Tae Kim, Hakmin Lee, Nassir Navab, Yong Man Ro:
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation. CoRR abs/2005.10754 (2020) - [i152]Zhongliang Jiang, Long Lei, Yu Sun, Xiaozhi Qi, Ying Hu, Bing Li, Nassir Navab, Jianwei Zhang:
Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling. CoRR abs/2006.01650 (2020) - [i151]Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, Nassir Navab:
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI. CoRR abs/2006.12852 (2020) - [i150]Mathias Unberath, Kevin Yu, Roghayeh Barmaki, Alex Johnson, Nassir Navab:
Augment Yourself: Mixed Reality Self-Augmentation Using Optical See-through Head-mounted Displays and Physical Mirrors. CoRR abs/2007.02884 (2020) - [i149]Daniil Pakhomov, Nassir Navab:
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery. CoRR abs/2007.04449 (2020) - [i148]Daniil Pakhomov, Wei Shen, Nassir Navab:
Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks. CoRR abs/2007.04505 (2020) - [i147]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 abs/2007.11641 (2020) - [i146]Patrick Ruhkamp, Ruiqi Gong, Nassir Navab, Benjamin Busam:
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching. CoRR abs/2007.16005 (2020) - [i145]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty. CoRR abs/2007.16102 (2020) - [i144]Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari:
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. CoRR abs/2008.01963 (2020) - [i143]Abdelrahman Elskhawy, Aneta Lisowska, Matthias Keicher, Joseph Henry, Paul Thomson, Nassir Navab:
Continual Class Incremental Learning for CT Thoracic Segmentation. CoRR abs/2008.05557 (2020) - [i142]Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas K. Maier, Mathias Unberath:
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance. CoRR abs/2008.06262 (2020) - [i141]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. CoRR abs/2008.07358 (2020) - [i140]Yousef Yeganeh, Azade Farshad, Nassir Navab, Shadi Albarqouni:
Inverse Distance Aggregation for Federated Learning with Non-IID Data. CoRR abs/2008.07665 (2020) - [i139]Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab:
Polyp-artifact relationship analysis using graph inductive learned representations. CoRR abs/2009.07109 (2020) - [i138]Benjamin Busam, Hyun Jun Jung, Nassir Navab:
I Like to Move It: 6D Pose Estimation as an Action Decision Process. CoRR abs/2009.12678 (2020)
2010 – 2019
- 2019
- [j181]Mingchuan Zhou, Xing Hao, Abouzar Eslami, Kai Huang, Caixia Cai, Chris P. Lohmann, Nassir Navab, Alois C. Knoll, M. Ali Nasseri:
6DOF Needle Pose Estimation for Robot-Assisted Vitreoretinal Surgery. IEEE Access 7: 63113-63122 (2019) - [j180]Hubertus Feußner, Dirk Wilhelm, Nassir Navab, Alois C. Knoll, Tim C. Lueth:
Surgineering: a new type of collaboration among surgeons and engineers. Int. J. Comput. Assist. Radiol. Surg. 14(2): 187-190 (2019) - [j179]Mai Bui, Felix Bourier, Christoph Baur, Fausto Milletari, Nassir Navab, Stefanie Demirci:
Robust navigation support in lowest dose image setting. Int. J. Comput. Assist. Radiol. Surg. 14(2): 291-300 (2019) - [j178]Leslie Casas, Nassir Navab, Stefanie Demirci:
Patient 3D body pose estimation from pressure imaging. Int. J. Comput. Assist. Radiol. Surg. 14(3): 517-524 (2019) - [j177]Sai Gokul Hariharan, Norbert Strobel, Christian Kaethner, Markus Kowarschik, Rebecca Fahrig, Nassir Navab:
An analytical approach for the simulation of realistic low-dose fluoroscopic images. Int. J. Comput. Assist. Radiol. Surg. 14(4): 601-610 (2019) - [j176]Javad Fotouhi, Mathias Unberath, Tianyu Song, Wenhao Gu, Alex Johnson, Greg Osgood, Mehran Armand, Nassir Navab:
Interactive Flying Frustums (IFFs): spatially aware surgical data visualization. Int. J. Comput. Assist. Radiol. Surg. 14(6): 913-922 (2019) - [j175]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): 1117-1126 (2019) - [j174]Bastian Bier, Florian Goldmann, Jan-Nico Zaech, Javad Fotouhi, Rachel Hegeman, Robert B. Grupp, Mehran Armand, Greg Osgood, Nassir Navab, Andreas Maier, Mathias Unberath:
Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1463-1473 (2019) - [j173]Mathias Unberath, Jan-Nico Zaech, Cong Gao, Bastian Bier, Florian Goldmann, Sing Chun Lee, Javad Fotouhi, Russell H. Taylor, Mehran Armand, Nassir Navab:
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1517-1528 (2019) - [j172]Alexander Preuhs, Andreas Maier, Michael Manhart, Markus Kowarschik, Elisabeth Hoppe, Javad Fotouhi, Nassir Navab, Mathias Unberath:
Symmetry prior for epipolar consistency. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1541-1551 (2019) - [j171]Javad Fotouhi, Mathias Unberath, Tianyu Song, Jonas Hajek, Sing Chun Lee, Bastian Bier, Andreas Maier, Greg Osgood, Mehran Armand, Nassir Navab:
Co-localized augmented human and X-ray observers in collaborative surgical ecosystem. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1553-1563 (2019) - [j170]Risto Kojcev, Ashkan Khakzar, Bernhard Fuerst, Oliver Zettinig, Carole Fakhry, Robert DeJong, Jeremy Richmon, Russell Taylor, Edoardo Sinibaldi, Nassir Navab:
Correction to: On the reproducibility of expert-operated and robotic ultrasound acquisitions. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1821 (2019) - [j169]Bamshad Azizi Koutenaei, Javad Fotouhi, Farshid Alambeigi, Emmanuel Wilson, Ozgur Guler, Matthew Oetgen, Kevin Cleary, Nassir Navab:
Radiation-free methods for navigated screw placement in slipped capital femoral epiphysis surgery. Int. J. Comput. Assist. Radiol. Surg. 14(12): 2199-2210 (2019) - [j168]Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman:
Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks. IET Image Process. 13(7): 1066-1073 (2019) - [j167]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger, Alzheimer's Disease Neuroimaging Initiative:
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. NeuroImage 186: 713-727 (2019) - [j166]Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger:
Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control. NeuroImage 195: 11-22 (2019) - [j165]Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari:
Peeking behind objects: Layered depth prediction from a single image. Pattern Recognit. Lett. 125: 333-340 (2019) - [j164]Yafei Gao, Yida Wang, Pietro Falco, Nassir Navab, Federico Tombari:
Variational Object-Aware 3-D Hand Pose From a Single RGB Image. IEEE Robotics Autom. Lett. 4(4): 4239-4246 (2019) - [j163]Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. IEEE Trans. Medical Imaging 38(2): 540-549 (2019) - [j162]Marco Esposito, Christoph Hennersperger, Rüdiger Göbl, Laurent Demaret, Martin Storath, Nassir Navab, Maximilian Baust, Andreas Weinmann:
Total Variation Regularization of Pose Signals With an Application to 3D Freehand Ultrasound. IEEE Trans. Medical Imaging 38(10): 2245-2258 (2019) - [c605]Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab:
Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks. Bildverarbeitung für die Medizin 2019: 14 - [c604]Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Julie DiNitto, Rebecca Fahrig, Nassir Navab:
Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow. Bildverarbeitung für die Medizin 2019: 146-151 - [c603]Alexander Preuhs, Andreas K. Maier, Michael Manhart, Javad Fotouhi, Nassir Navab, Mathias Unberath:
Abstract: Double Your Views: Exploiting Symmetry in Transmission Imaging. Bildverarbeitung für die Medizin 2019: 171 - [c602]Fernando Navarro, Sailesh Conjeti, Federico Tombari, Nassir Navab:
Abstract: Leveraging Web Data for Skin Lesion Classification. Bildverarbeitung für die Medizin 2019: 199 - [c601]Walter Simson, Magdalini Paschali, Guillaume Zahnd, Nassir Navab:
Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer. Bildverarbeitung für die Medizin 2019: 257 - [c600]