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ORCIDNassir Navab
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2023
[j265]Felix Buchert, Nassir Navab
, Seong Tae Kim:
Toward Label-Efficient Neural Network Training: Diversity-Based Sampling in Semi-Supervised Active Learning. IEEE Access 11: 5193-5205 (2023)- [j264]Nassir Navab, Alejandro Martin-Gomez, Matthias Seibold, Michael Sommersperger, Tianyu Song, Alexander Winkler, Kevin Yu, Ulrich Eck:
Medical Augmented Reality: Definition, Principle Components, Domain Modeling, and Design-Development-Validation Process. J. Imaging 9(1): 4 (2023) - [j263]Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1606-1617 (2023) - [j262]Huseyin Coskun, M. Zeeshan Zia, Bugra Tekin, Federica Bogo, Nassir Navab, Federico Tombari, Harpreet S. Sawhney:
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6659-6673 (2023) - [j261]Artem Savkin, Yida Wang, Sebastian Wirkert, Nassir Navab, Federico Tombari:
Lidar Upsampling With Sliced Wasserstein Distance. IEEE Robotics Autom. Lett. 8(1): 392-399 (2023) - [j260]Julia Kabalar, Shun-Cheng Wu, Johanna Wald, Keisuke Tateno, Nassir Navab, Federico Tombari:
Towards Long-Term Retrieval-Based Visual Localization in Indoor Environments With Changes. IEEE Robotics Autom. Lett. 8(4): 1975-1982 (2023) - [j259]Ardit Ramadani, Heiko Maier, Felix Bourier, Christian Meierhofer, Peter Ewert, Heribert Schunkert, Nassir Navab:
Feature-Based Electromagnetic Tracking Registration Using Bioelectric Sensing. IEEE Robotics Autom. Lett. 8(6): 3286-3293 (2023) - [j258]Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari:
SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments. IEEE Robotics Autom. Lett. 8(6): 3709-3716 (2023) - [j257]Mingchuan Zhou, Felix Hennerkes, Jingsong Liu, Zhongliang Jiang, Thomas Wendler, M. Ali Nasseri, Iulian Iordachita, Nassir Navab:
Theoretical error analysis of spotlight-based instrument localization for retinal surgery. Robotica 41(5): 1536-1549 (2023) - [c719]Vanessa Kern, Constantin Kleinbeck, Kevin Yu, Alejandro Martin-Gomez, Alexander Winkler, Nassir Navab, Daniel Roth:
Magnifying Augmented Mirrors for Accurate Alignment Tasks. VRW 2023: 685-686 - [c718]Alejandro Martin-Gomez, Felix Merkl, Alexander Winkler, Christian Heiliger, Sebastian Andress, Tianyu Song, Ulrich Eck, Konrad Karcz, Nassir Navab:
Medical Visualizations with Dynamic Shape and Depth Cues. VRW 2023: 813-814 - [i317]Shervin Dehghani, Michael Sommersperger, Peiyao Zhang, Alejandro Martin-Gomez, Benjamin Busam, Peter Gehlbach, Nassir Navab, M. Ali Nasseri, Iulian Iordachita:
Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing. CoRR abs/2301.07204 (2023) - [i316]Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers, Benjamin Busam, Mehrdad Salehi, Nassir Navab:
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. CoRR abs/2301.10520 (2023) - [i315]Artem Savkin, Yida Wang, Sebastian Wirkert, Nassir Navab, Federico Tombari:
Lidar Upsampling with Sliced Wasserstein Distance. CoRR abs/2301.13558 (2023) - [i314]Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori:
KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation. CoRR abs/2302.00899 (2023) - [i313]Walter A. Simson, Magdalini Paschali, Vasiliki Sideri-Lampretsa, Nassir Navab, Jeremy J. Dahl:
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning. CoRR abs/2302.03064 (2023) - [i312]Christine Eilers, Rob van Kemenade, Benjamin Busam, Nassir Navab:
On the Importance of Patient Acceptance for Medical Robotic Imaging. CoRR abs/2302.06208 (2023) - [i311]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR abs/2302.06294 (2023) - [i310]Dekai Zhu, Guangyao Zhai, Yan Di, Fabian Manhardt, Hendrik Berkemeyer, Tuan Tran, Nassir Navab, Federico Tombari, Benjamin Busam:
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. CoRR abs/2303.00575 (2023) - [i309]Ario Sadafi, Nassir Navab, Carsten Marr:
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning. CoRR abs/2303.01342 (2023) - [i308]Daniel Sens, Ario Sadafi, Francesco Paolo Casale, Nassir Navab, Carsten Marr:
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification. CoRR abs/2303.01377 (2023) - [i307]Artem Savkin, Rachid Ellouze, Nassir Navab, Federico Tombari:
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs. CoRR abs/2303.08473 (2023) - [i306]Ario Sadafi, Oleksandra Adonkina, Ashkan Khakzar, Peter Lienemann, Rudolf Matthias Hehr, Daniel Rueckert, Nassir Navab, Carsten Marr:
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. CoRR abs/2303.08632 (2023) - [i305]Ege Özsoy, Felix Holm, Tobias Czempiel, Nassir Navab, Benjamin Busam:
Location-Free Scene Graph Generation. CoRR abs/2303.10944 (2023) - [i304]Matthias Keicher, Matan Atad, David Schinz, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Nassir Navab:
Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading. CoRR abs/2303.12031 (2023) - [i303]Yuan Bi, Zhongliang Jiang, Ricarda Clarenbach, Reza Ghotbi, Angelos Karlas, Nassir Navab:
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. CoRR abs/2303.12649 (2023) - [i302]Ege Özsoy, Tobias Czempiel, Felix Holm, Chantal Pellegrini, Nassir Navab:
LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms. CoRR abs/2303.13293 (2023) - [i301]Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Petra Jiraskova, Rickmer Braren, Nassir Navab:
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis. CoRR abs/2303.13391 (2023) - [i300]Yiheng Xiong, Jingsong Liu, Kamilia Zaripova, Sahand Sharifzadeh, Matthias Keicher, Nassir Navab:
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays. CoRR abs/2303.13818 (2023) - [i299]HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam:
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CoRR abs/2303.14840 (2023) - [i298]Dominik Batic, Felix Holm, Ege Özsoy, Tobias Czempiel, Nassir Navab:
Whether and When does Endoscopy Domain Pretraining Make Sense? CoRR abs/2303.17636 (2023) - [i297]Lennart Bastian, Alexander Bauman, Emily Hoppe, Vincent Bürgin, Ha Young Kim, Mahdi Saleh, Benjamin Busam, Nassir Navab:
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences. CoRR abs/2304.07515 (2023) - [i296]Yousef Yeganeh, Azade Farshad, Peter Weinberger, Seyed-Ahmad Ahmadi, Ehsan Adeli, Nassir Navab:
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation. CoRR abs/2304.14571 (2023) - [i295]Yousef Yeganeh, Azade Farshad, Güktug Güvercin, Amr Abu-zer, Rui Xiao, Yongjian Tang, Ehsan Adeli, Nassir Navab:
SCOPE: Structural Continuity Preservation for Medical Image Segmentation. CoRR abs/2304.14572 (2023) - [i294]Azade Farshad, Yousef Yeganeh, Yu Chi, Chengzhi Shen, Björn Ommer, Nassir Navab:
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis. CoRR abs/2304.14573 (2023) - [i293]Shun-Cheng Wu, Keisuke Tateno, Nassir Navab, Federico Tombari:
Incremental 3D Semantic Scene Graph Prediction from RGB Sequences. CoRR abs/2305.02743 (2023) - [i292]Jonas Hein, Nicola Cavalcanti, Daniel Suter, Lukas Zingg, Fabio Carrillo, Mazda Farshad, Marc Pollefeys, Nassir Navab, Philipp Fürnstahl:
Next-generation Surgical Navigation: Multi-view Marker-less 6DoF Pose Estimation of Surgical Instruments. CoRR abs/2305.03535 (2023) - [i291]Zhongliang Jiang, Xuesong Li, Chenyu Zhang, Yuan Bi, Walter Stechele, Nassir Navab:
Skeleton Graph-based Ultrasound-CT Non-rigid Registration. CoRR abs/2305.08228 (2023) - [i290]Zhongliang Jiang, Felix Duelmer, Nassir Navab:
DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal. CoRR abs/2305.08938 (2023) - [i289]Francesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler:
Self-Supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PET. CoRR abs/2305.10569 (2023) - [i288]Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler:
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. CoRR abs/2305.12358 (2023) - 2022
- [j256]Kristen M. Meiburger, Francesco Marzola, Guillaume Zahnd, Francesco Faita, Christos P. Loizou, Nolann Lainé, Catarina Carvalho, David A. Steinman, Lorenzo Gibello, Rosa Maria Bruno, Ricarda Clarenbach, Martina Francesconi, Andrew Nicolaides, Hervé Liebgott, Aurélio Campilho, Reza Ghotbi, Efthyvoulos Kyriacou, Nassir Navab, Maura Griffin, Andrie G. Panayiotou, Rachele Gherardini, Gianfranco Varetto, Elisabetta Bianchini, Constantinos S. Pattichis, Lorenzo Ghiadoni, José Rouco, Maciej Orkisz, Filippo Molinari:
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans. Comput. Biol. Medicine 144: 105333 (2022) - [j255]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): 2593-2608 (2022) - [j254]Johanna Wald, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs with Instance Embeddings. Int. J. Comput. Vis. 130(3): 630-651 (2022) - [j253]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion. Int. J. Comput. Vis. 130(5): 1145-1164 (2022) - [j252]Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130(7): 1627-1654 (2022) - [j251]Tianyu Song, Michael Sommersperger, The Anh Baran, Matthias Seibold, Nassir Navab:
HAPPY: Hip Arthroscopy Portal Placement Using Augmented Reality. J. Imaging 8(11): 302 (2022) - [j250]Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Medical Image Anal. 75: 102272 (2022) - [j249]Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella:
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty. Medical Image Anal. 75: 102273 (2022) - [j248]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 M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel:
Surgical data science - from concepts toward clinical translation. Medical Image Anal. 76: 102306 (2022) - [j247]Hendrik Burwinkel, Holger Matz, Stefan Saur, Christoph Hauger, Michael Trost, Nino Hirnschall, Oliver Findl, Nassir Navab, Seyed-Ahmad Ahmadi:
Physics-aware learning and domain-specific loss design in ophthalmology. Medical Image Anal. 76: 102314 (2022) - [j246]Ardit Ramadani, Mai Bui, Thomas Wendler, Heribert Schunkert, Peter Ewert, Nassir Navab:
A survey of catheter tracking concepts and methodologies. Medical Image Anal. 82: 102584 (2022) - [j245]Septimiu E. Salcudean, Hamid Moradi, David G. Black, Nassir Navab:
Robot-Assisted Medical Imaging: A Review. Proc. IEEE 110(7): 951-967 (2022) - [j244]Stefano Gasperini, Jan Haug, Mohammad-Ali Nikouei Mahani, Alvaro Marcos-Ramiro, Nassir Navab, Benjamin Busam, Federico Tombari:
CertainNet: Sampling-Free Uncertainty Estimation for Object Detection. IEEE Robotics Autom. Lett. 7(2): 698-705 (2022) - [j243]Viviana Sutedjo, Maria Tirindelli, Christine Eilers, Walter Simson, Benjamin Busam, Nassir Navab:
Acoustic Shadowing Aware Robotic Ultrasound: Lighting up the Dark. IEEE Robotics Autom. Lett. 7(2): 1808-1815 (2022) - [j242]John Zielke, Christine Eilers, Benjamin Busam, Wolfgang Weber, Nassir Navab, Thomas Wendler:
RSV: Robotic Sonography for Thyroid Volumetry. IEEE Robotics Autom. Lett. 7(2): 3342-3348 (2022) - [j241]Enis Simsar, Evin Pinar Örnek, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari:
Object-Aware Monocular Depth Prediction With Instance Convolutions. IEEE Robotics Autom. Lett. 7(2): 5389-5396 (2022) - [j240]Yuan Bi, Zhongliang Jiang, Yuan Gao, Thomas Wendler, Angelos Karlas, Nassir Navab:
VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation. IEEE Robotics Autom. Lett. 7(3): 6638-6645 (2022) - [j239]Zhongliang Jiang, Yuan Gao, Le Xie, Nassir Navab:
Towards Autonomous Atlas-Based Ultrasound Acquisitions in Presence of Articulated Motion. IEEE Robotics Autom. Lett. 7(3): 7423-7430 (2022) - [j238]Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang:
DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping. IEEE Robotics Autom. Lett. 7(4): 8941-8948 (2022) - [j237]Zhongliang Jiang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Marco Esposito, Wolfgang Wein, Walter Stechele, Thomas Wendler, Nassir Navab:
Autonomous Robotic Screening of Tubular Structures Based Only on Real-Time Ultrasound Imaging Feedback. IEEE Trans. Ind. Electron. 69(7): 7064-7075 (2022) - [j236]Zhongliang Jiang, Nehil Danis, Yuan Bi, Mingchuan Zhou, Markus Krönke, Thomas Wendler, Nassir Navab:
Precise Repositioning of Robotic Ultrasound: Improving Registration-Based Motion Compensation Using Ultrasound Confidence Optimization. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j235]Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Recurrent Models for Lane Change Prediction and Situation Assessment. IEEE Trans. Intell. Transp. Syst. 23(10): 17284-17300 (2022) - [j234]Marta Robles, Negar Namdarian, Julia Otto, Evelyn Wassiljew, Nassir Navab, Christine M. Falter-Wagner, Daniel Roth:
A Virtual Reality Based System for the Screening and Classification of Autism. IEEE Trans. Vis. Comput. Graph. 28(5): 2168-2178 (2022) - [j233]Kevin Yu, Ulrich Eck, Frieder Pankratz, Marc Lazarovici, Dirk Wilhelm, Nassir Navab:
Duplicated Reality for Co-located Augmented Reality Collaboration. IEEE Trans. Vis. Comput. Graph. 28(5): 2190-2200 (2022) - [j232]Kevin Yu, Kostantinos Zacharis, Ulrich Eck, Nassir Navab:
Projective Bisector Mirror (PBM): Concept and Rationale. IEEE Trans. Vis. Comput. Graph. 28(11): 3694-3704 (2022) - [j231]Alejandro Martin-Gomez, Jakob Weiss, Andreas Keller, Ulrich Eck, Daniel Roth, Nassir Navab:
The Impact of Focus and Context Visualization Techniques on Depth Perception in Optical See-Through Head-Mounted Displays. IEEE Trans. Vis. Comput. Graph. 28(12): 4156-4171 (2022) - [c717]Kristina Mach, Shuwen Wei, Ji Woong Kim, Alejandro Martin-Gomez, Peiyao Zhang, Jin U. Kang, M. Ali Nasseri, Peter Gehlbach, Nassir Navab, Iulian Iordachita:
OCT-guided Robotic Subretinal Needle Injections: A Deep Learning-Based Registration Approach. BIBM 2022: 781-786 - [c716]Francesca De Benetti, Verena Bentele, Egon Burian, Marcus R. Makowski, Nassir Navab, Rickmer Braren, Thomas Wendler:
Longitudinal Analysis of Disease Progression Using Image and Laboratory Data for Covid-19 Patients. Bildverarbeitung für die Medizin 2022: 179-184 - [c715]Azade Farshad, Yousef Yeganeh, Helisa Dhamo, Federico Tombari, Nassir Navab:
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. BMVC 2022: 340 - [c714]Pengyuan Wang, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
CroCPS: Addressing Photometric Challenges in Self-Supervised Category-Level 6D Object Poses with Cross-Modal Learning. BMVC 2022: 390 - [c713]Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - [c712]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Learning Local Displacements for Point Cloud Completion. CVPR 2022: 1558-1567 - [c711]Yongzhi Su, Mahdi Saleh, Torben Fetzer, Jason R. Rambach, Nassir Navab, Benjamin Busam, Didier Stricker, Federico Tombari:
ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation. CVPR 2022: 6728-6738 - [c710]Yan Di, Ruida Zhang, Zhiqiang Lou, Fabian Manhardt, Xiangyang Ji, Nassir Navab, Federico Tombari:
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. CVPR 2022: 6771-6781 - [c709]Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, Nassir Navab:
Do Explanations Explain? Model Knows Best. CVPR 2022: 10234-10243 - [c708]Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CVPR 2022: 11747-11757 - [c707]Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari:
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. CVPR 2022: 17274-17283 - [c706]Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam:
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects. CVPR 2022: 21190-21199 - [c705]Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri:
Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. ECCV Workshops (3) 2022: 556-568 - [c704]Agnieszka Lach, Faisal Kalim, Christian Heiliger, Natalia Piaseczna, Matthias Grimm, Alexander Winkler, Olga Solyanik, Helena Kirr, Lena Hiendl, Ulrich Eck, Rafal Doniec, Nassir Navab, Konrad Karcz, Subhamoy Mandal:
Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery. EMBC 2022: 562-565 - [c703]Felix Buchert, Nassir Navab, Seong Tae Kim:
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning. ICPR 2022: 2063-2069 - [c702]Shervin Dehghani, Michael Sommersperger, Junjie Yang, Mehrdad Salehi, Benjamin Busam, Kai Huang, Peter Gehlbach, Iulian Iordachita, Nassir Navab, M. Ali Nasseri:
ColibriDoc: an Eye-in-Hand Autonomous Trocar Docking System. ICRA 2022: 7717-7723 - [c701]Mahdi Saleh, Yige Wang, Nassir Navab, Benjamin Busam, Federico Tombari:
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning. IROS 2022: 1986-1992 - [c700]Yousef Yeganeh, Azade Farshad, Johann Boschmann, Richard Gaus, Maximilian Frantzen, Nassir Navab:
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. DeCaF/FAIR@MICCAI 2022: 17-27 - [c699]Azade Farshad, Anastasia Makarevich, Vasileios Belagiannis, Nassir Navab:
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. DART@MICCAI 2022: 45-55 - [c698]Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab:
Interpretable Vertebral Fracture Diagnosis. iMIMIC@MICCAI 2022: 71-81 - [c697]Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli, Mehrdad Salehi, Nassir Navab, Wolfgang Wein, Oliver Zettinig:
PRO-TIP: Phantom for RObust Automatic Ultrasound Calibration by TIP Detection. MICCAI (8) 2022: 84-93 - [c696]Yu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng:
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet Microscopy. MICCAI (4) 2022: 99-108 - [c695]Bailiang Jian, Mohammad Farid Azampour, Francesca De Benetti, Johannes Oberreuter, Christina Bukas, Alexandra S. Gersing, Sarah C. Foreman, Anna-Sophia Dietrich, Jon Rischewski, Jan S. Kirschke, Nassir Navab, Thomas Wendler:
Weakly-Supervised Biomechanically-Constrained CT/MRI Registration of the Spine. MICCAI (6) 2022: 227-236 - [c694]Matthias Seibold, Armando Hoch, Mazda Farshad, Nassir Navab, Philipp Fürnstahl:
Conditional Generative Data Augmentation for Clinical Audio Datasets. MICCAI (8) 2022: 345-354 - [c693]Mojtaba Bahrami, Mahsa Ghorbani, Yousef Yeganeh, Nassir Navab:
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis. MLMI@MICCAI 2022: 387-396 - [c692]Ege Özsoy, Evin Pinar Örnek, Ulrich Eck, Tobias Czempiel, Federico Tombari, Nassir Navab:
4D-OR: Semantic Scene Graphs for OR Domain Modeling. MICCAI (8) 2022: 475-485 - [c691]Yordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab:
CACTUSS: Common Anatomical CT-US Space for US Examinations. MICCAI (3) 2022: 492-501 - [c690]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: 505-515 - [c689]Azade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab:
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. MICCAI (2) 2022: 582-592 - [c688]Adeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab:
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. MICCAI (4) 2022: 609-618 - [c687]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: 739-748 - [c686]Tianyu Song, Alejandro Martin-Gomez, Qiaochu Wang, Arian Mehrfard, Javad Fotouhi, Daniel Roth, Ulrich Eck, Nassir Navab:
Impact of Parameter Disentanglement on Collaborative Alignment. VR Workshops 2022: 560-561 - [c685]Tianyu Song, Ulrich Eck, Nassir Navab:
If I Share with you my Perspective, Would you Share your Data with me? VR Workshops 2022: 666-667 - [c684]Kartikay Tehlan, Alexander Winkler, Daniel Roth, Nassir Navab:
X-Ray Device Positioning with Augmented Reality Visual Feedback. VR Workshops 2022: 870-871 - [c683]Kevin Yu, Ulrich Eck, Nassir Navab:
Spatial Exploration with a WiM for Capturing 3D Dioramic Snapshots. VR Workshops 2022: 900-901 - [i287]John Ridley, Huseyin Coskun, David Joseph Tan, Nassir Navab, Federico Tombari:
Transformers in Action: Weakly Supervised Action Segmentation. CoRR abs/2201.05675 (2022) - [i286]Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CoRR abs/2202.01537 (2022) - [i285]Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, Nassir Navab:
Do Explanations Explain? Model Knows Best. CoRR abs/2203.02269 (2022) - [i284]