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Nassir Navab (1960-)

Informatiker

Name	Nassir Navab
Time	1960- (Date of birth and death)
Place	Shahreza (Geburtsort) Iran
Gender	männlich
Academic degree	Prof. Dr.
Profession	Informatiker (characteristic profession) Hochschullehrer Doktorvater
Related	Technische Universität München (2005-) Johns Hopkins University. Department of Computer Science
Further information	geb. in Shahreza, Iran, Vorsitzender der Forschungsgruppe CAMP (Computer Aided Medical Procedures & Augmented Reality) Diss. Paris XI (ORSAY) Professor am Department of Computer Science der Johns Hopkins Whiting School of Engineering
Source	Homepage: http://campar.in.tum.de/Main/NassirNavabCv
Record type	Person
GND-Identifier	1018102558
Record ID	1018102558
Involved in show all ReMIND: The Brain Resection Multimodal Imaging Database EndoViT: pretraining vision transformers on a large collection of endoscopic images CACTUSS: Common Anatomical CT-US Space for US examinations S $$^{2}$$ 2 P $$^{3}$$ 3 : Self-Supervised Polarimetric Pose Prediction Advanced 3D UI for Immersive AR/VR Medical Teleconsultation Computer-Aided-Diagnosis for Laryngeal Lesion Assessment: A Feature Extraction and Machine Learning Approach Applied on Enhanced Contact Endoscopy Images DosePatch: physics-inspired cropping layout for patch-based Monte Carlo simulations to provide fast and accurate internal dosimetry Energy-selective processing of CT images for clinical applications Learning to Learn Neural Representations with Limited Data and Supervision Methods for the acquisition, learning-based segmentation and quantitative analysis of ultrasound volumes PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform Robust Learned 3D-Perception Shape completion in the dark: completing vertebrae morphology from 3D ultrasound Multimodal graph attention network for COVID-19 outcome prediction Contact Endoscopy – Narrow Band Imaging (CE-NBI) data set for laryngeal lesion assessment 3D Adversarial Augmentations for Robust Out-of-Domain Predictions Holistic OR domain modeling: a semantic scene graph approach On the importance of patient acceptance for medical robotic imaging Extending bioelectric navigation for displacement and direction detection DisguisOR: holistic face anonymization for the operating room Spotlight on Nerves: Portable Multispectral Optoacoustic Imaging of Peripheral Nerve Vascularization and Morphology Annotation-Efficient Medical Imaging with Deep Learning Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors Deep learning for blood cell image analysis Deep Learning-based Acoustic Sensing for Medical Applications Intelligent, Applicable and Acceptable Robotic Ultrasound Novel Analytical and Learning-based Image Processing Techniques for Dose Reduction in Interventional X-ray Imaging Physics-Inspired Machine Intelligence for Robotic Ultrasound Imaging Rethinking Feature Attribution for Neural Network Explanation Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition Phantom study on surgical performance in augmented reality laparoscopy Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition Intraoperative Visualization for OCT-Assisted Retinal Microsurgery Perceptual Visualization for Object Alignment in Mixed Reality Physics-Informed Deep Learning for Advanced Medical Ultrasound Radiotracer uptake classification using deep learning for evaluation of image-derived cancer biomarkers in PET/CT Towards Automated Clinical Diagnostic Decision Support using Machine Learning PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform How molecular imaging will enable robotic precision surgery : The role of artificial intelligence, augmented reality, and navigation Challenges and opportunities in PET/MR image reconstruction Graph Deep Learning for Healthcare Applications High Performance Visual Pose Computation How molecular imaging will enable robotic precision surgery: the role of artificial intelligence, augmented reality, and navigation Learning Robust Representations for Medical Diagnosis Towards Monocular 6D Object Pose Estimation Artificial Intelligence in Visceral Medicine Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images Animals in Virtual Environments Laryngeal lesion classification based on vascular patterns in contact endoscopy and narrow band imaging : manual versus automatic approach Deep representation learning from imbalanced medical imaging Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing Surgical soundtracks: automatic acoustic augmentation of surgical procedures A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery Robotic ultrasound-guided facet joint insertion Hough Voting Strategies for Segmentation, Detection and Tracking Surgical data science for next-generation interventions Computer-Assisted and Robotic Endoscopy : Third International Workshop, CARE 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers Acquisition models in intraoperative positron surface imaging Multimodal US–gamma imaging using collaborative robotics for cancer staging biopsies

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Katalog der Deutschen Nationalbibliothek

Nassir Navab (1960-)

ReMIND: The Brain Resection Multimodal Imaging Database

EndoViT: pretraining vision transformers on a large collection of endoscopic images

CACTUSS: Common Anatomical CT-US Space for US examinations

S $$^{2}$$ 2 P $$^{3}$$ 3 : Self-Supervised Polarimetric Pose Prediction

Advanced 3D UI for Immersive AR/VR Medical Teleconsultation

Computer-Aided-Diagnosis for Laryngeal Lesion Assessment: A Feature Extraction and Machine Learning Approach Applied on Enhanced Contact Endoscopy Images

DosePatch: physics-inspired cropping layout for patch-based Monte Carlo simulations to provide fast and accurate internal dosimetry

Energy-selective processing of CT images for clinical applications

Learning to Learn Neural Representations with Limited Data and Supervision

Methods for the acquisition, learning-based segmentation and quantitative analysis of ultrasound volumes

PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform

Robust Learned 3D-Perception

Shape completion in the dark: completing vertebrae morphology from 3D ultrasound

Multimodal graph attention network for COVID-19 outcome prediction

Contact Endoscopy – Narrow Band Imaging (CE-NBI) data set for laryngeal lesion assessment

3D Adversarial Augmentations for Robust Out-of-Domain Predictions

Holistic OR domain modeling: a semantic scene graph approach

On the importance of patient acceptance for medical robotic imaging

Extending bioelectric navigation for displacement and direction detection

DisguisOR: holistic face anonymization for the operating room

Spotlight on Nerves: Portable Multispectral Optoacoustic Imaging of Peripheral Nerve Vascularization and Morphology

Annotation-Efficient Medical Imaging with Deep Learning

Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors

Deep learning for blood cell image analysis

Deep Learning-based Acoustic Sensing for Medical Applications

Intelligent, Applicable and Acceptable Robotic Ultrasound

Novel Analytical and Learning-based Image Processing Techniques for Dose Reduction in Interventional X-ray Imaging

Physics-Inspired Machine Intelligence for Robotic Ultrasound Imaging

Rethinking Feature Attribution for Neural Network Explanation

Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition

Phantom study on surgical performance in augmented reality laparoscopy

Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement

Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition

Intraoperative Visualization for OCT-Assisted Retinal Microsurgery

Perceptual Visualization for Object Alignment in Mixed Reality

Physics-Informed Deep Learning for Advanced Medical Ultrasound

Radiotracer uptake classification using deep learning for evaluation of image-derived cancer biomarkers in PET/CT

Towards Automated Clinical Diagnostic Decision Support using Machine Learning

PLAFOKON: a new concept for a patient-individual and intervention-specific flexible surgical platform

How molecular imaging will enable robotic precision surgery : The role of artificial intelligence, augmented reality, and navigation

Challenges and opportunities in PET/MR image reconstruction

Graph Deep Learning for Healthcare Applications

High Performance Visual Pose Computation

How molecular imaging will enable robotic precision surgery: the role of artificial intelligence, augmented reality, and navigation

Learning Robust Representations for Medical Diagnosis

Towards Monocular 6D Object Pose Estimation

Artificial Intelligence in Visceral Medicine

Manual versus Automatic Classification of Laryngeal Lesions based on Vascular Patterns in CE+NBI Images

Animals in Virtual Environments

Laryngeal lesion classification based on vascular patterns in contact endoscopy and narrow band imaging : manual versus automatic approach

Deep representation learning from imbalanced medical imaging

Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing

Surgical soundtracks: automatic acoustic augmentation of surgical procedures

A radiation-free mixed-reality training environment and assessment concept for C-arm-based surgery

Robotic ultrasound-guided facet joint insertion

Hough Voting Strategies for Segmentation, Detection and Tracking

Surgical data science for next-generation interventions

Computer-Assisted and Robotic Endoscopy : Third International Workshop, CARE 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

Acquisition models in intraoperative positron surface imaging

Multimodal US–gamma imaging using collaborative robotics for cancer staging biopsies