Nassir Navab

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TU München ∙ Technische Universität München ∙ Johns Hopkins University

Head of Computer Aided Medical Procedures & Augmented Reality , Faculty of Computer Science at Technical University of Munich.

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Medical Ultrasound (US), despite its wide use, is characterized by artif...
05/05/2021 ∙ by Maria Tirindelli, et al. ∙ 0 ∙ share

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

The increased amount of multi-modal medical data has opened the opportun...
04/08/2021 ∙ by Mahsa Ghorbani, et al. ∙ 0 ∙ share

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

Convolutional neural networks are showing promise in the automatic diagn...
04/04/2021 ∙ by Ashkan Khakzar, et al. ∙ 0 ∙ share

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

Neural networks have demonstrated remarkable performance in classificati...
04/01/2021 ∙ by Ashkan Khakzar, et al. ∙ 0 ∙ share

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Neural Response Interpretation through the Lens of Critical Pathways

Is critical input information encoded in specific sparse pathways within...
03/31/2021 ∙ by Ashkan Khakzar, et al. ∙ 12 ∙ share

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

Interpretability in Graph Convolutional Networks (GCNs) has been explore...
03/29/2021 ∙ by Anees Kazi, et al. ∙ 0 ∙ share

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

Scene graphs are a compact and explicit representation successfully used...
03/27/2021 ∙ by Shun-Cheng Wu, et al. ∙ 0 ∙ share

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

Disentangled representations can be useful in many downstream tasks, hel...
03/19/2021 ∙ by Aadhithya Sankar, et al. ∙ 26 ∙ share

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

Hereditary hemolytic anemias are genetic disorders that affect the shape...
03/17/2021 ∙ by Ario Sadafi, et al. ∙ 37 ∙ share

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

Surgical instrument segmentation for robot-assisted surgery is needed fo...
03/16/2021 ∙ by Megha Kalia, et al. ∙ 0 ∙ share

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

Symptomatic spinal vertebral compression fractures (VCFs) often require ...
03/12/2021 ∙ by Christina Bukas, et al. ∙ 10 ∙ share

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

Chest computed tomography (CT) has played an essential diagnostic role i...
03/12/2021 ∙ by Seong Tae Kim, et al. ∙ 14 ∙ share

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OperA: Attention-Regularized Transformers for Surgical Phase Recognition

In this paper we introduce OperA, a transformer-based model that accurat...
03/05/2021 ∙ by Tobias Czempiel, et al. ∙ 10 ∙ share

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Peer Learning for Skin Lesion Classification

Skin cancer is one of the most deadly cancers worldwide. Yet, it can be ...
03/05/2021 ∙ by Tariq Bdair, et al. ∙ 19 ∙ share

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

Disease prediction is a well-known classification problem in medical app...
02/27/2021 ∙ by Mahsa Ghorbani, et al. ∙ 0 ∙ share

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

In this work, we introduce Deep Bingham Networks (DBN), a generic framew...
12/20/2020 ∙ by Haowen Deng, et al. ∙ 7 ∙ share

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

Saliency methods interpret the prediction of a neural network by showing...
12/01/2020 ∙ by Ashkan Khakzar, et al. ∙ 8 ∙ share

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

Fully automatic X-ray to CT registration requires a solid initialization...
11/14/2020 ∙ by Matthias Grimm, et al. ∙ 18 ∙ share

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

Medical imaging data suffers from the limited availability of annotation...
11/10/2020 ∙ by Abinav Ravi Venkatakrishnan, et al. ∙ 0 ∙ share

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

Ultrasound (US) imaging is widely employed for diagnosis and staging of ...
10/30/2020 ∙ by Zhongliang Jiang, et al. ∙ 0 ∙ share

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

Panoptic segmentation has recently unified semantic and instance segment...
10/28/2020 ∙ by Stefano Gasperini, et al. ∙ 0 ∙ share

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SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion

Real-time scene reconstruction from depth data inevitably suffers from o...
10/26/2020 ∙ by Shun-Cheng Wu, et al. ∙ 0 ∙ share

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Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration

3D Point clouds are a rich source of information that enjoy growing popu...
10/18/2020 ∙ by Mahdi Saleh, et al. ∙ 0 ∙ share

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RGB-D SLAM with Structural Regularities

This work proposes a RGB-D SLAM system specifically designed for structu...
10/15/2020 ∙ by Yanyan Li, et al. ∙ 0 ∙ share

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

Object pose estimation is an integral part of robot vision and augmented...
09/26/2020 ∙ by Benjamin Busam, et al. ∙ 0 ∙ share

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Polyp-artifact relationship analysis using graph inductive learned representations

The diagnosis process of colorectal cancer mainly focuses on the localiz...
09/15/2020 ∙ by Roger D. Soberanis-Mukul, et al. ∙ 0 ∙ share

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Inverse Distance Aggregation for Federated Learning with Non-IID Data

Federated learning (FL) has been a promising approach in the field of me...
08/17/2020 ∙ by Yousef Yeganeh, et al. ∙ 0 ∙ share

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SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification

Point clouds are often the default choice for many applications as they ...
08/17/2020 ∙ by Yida Wang, et al. ∙ 24 ∙ share

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Continual Class Incremental Learning for CT Thoracic Segmentation

Deep learning organ segmentation approaches require large amounts of ann...
08/12/2020 ∙ by Abdelrahman Elskhawy, et al. ∙ 13 ∙ share

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Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

In this paper a low-drift monocular SLAM method is proposed targeting in...
08/05/2020 ∙ by Yanyan Li, et al. ∙ 0 ∙ share

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DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching

Feature based visual odometry and SLAM methods require accurate and fast...
07/31/2020 ∙ by Patrick Ruhkamp, et al. ∙ 0 ∙ share

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Attention based Multiple Instance Learning for Classification of Blood Cell Disorders

Red blood cells are highly deformable and present in various shapes. In ...
07/22/2020 ∙ by Ario Sadafi, et al. ∙ 0 ∙ share

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Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks

Surgical tool segmentation in endoscopic images is an important problem:...
07/09/2020 ∙ by Daniil Pakhomov, et al. ∙ 13 ∙ share

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Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery

Segmentation of surgical instruments is an important problem in robot-as...
07/08/2020 ∙ by Daniil Pakhomov, et al. ∙ 0 ∙ share

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Augment Yourself: Mixed Reality Self-Augmentation Using Optical See-through Head-mounted Displays and Physical Mirrors

Optical see-though head-mounted displays (OST HMDs) are one of the key t...
07/06/2020 ∙ by Mathias Unberath, et al. ∙ 5 ∙ share

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Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

Brain pathologies can vary greatly in size and shape, ranging from few p...
06/23/2020 ∙ by Christoph Baur, et al. ∙ 0 ∙ share

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Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling

Drilling is one of the hardest parts of pedicle screw fixation, and it i...
06/02/2020 ∙ by Zhongliang Jiang, et al. ∙ 0 ∙ share

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Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC)

Large-scale population-based studies in medicine are a key resource towa...
05/14/2020 ∙ by Gerome Vivar, et al. ∙ 11 ∙ share

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Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions

Today, cataract surgery is the most frequently performed ophthalmic surg...
05/09/2020 ∙ by Hendrik Burwinkel, et al. ∙ 0 ∙ share

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Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Every day, poison control centers (PCC) are called for immediate classif...
05/02/2020 ∙ by Hendrik Burwinkel, et al. ∙ 8 ∙ share

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Explicit Domain Adaptation with Loosely Coupled Samples

Transfer learning is an important field of machine learning in general, ...
04/24/2020 ∙ by Oliver Scheel, et al. ∙ 0 ∙ share

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Colonoscope tracking method based on shape estimation network

This paper presents a colonoscope tracking method utilizing a colon shap...
04/20/2020 ∙ by Masahiro Oda, et al. ∙ 9 ∙ share

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Self6D: Self-Supervised Monocular 6D Object Pose Estimation

Estimating the 6D object pose is a fundamental problem in computer visio...
04/14/2020 ∙ by Gu Wang, et al. ∙ 8 ∙ share

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6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

We present a multimodal camera relocalization framework that captures am...
04/09/2020 ∙ by Mai Bui, et al. ∙ 10 ∙ share

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Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions

Scene understanding has been of high interest in computer vision. It enc...
04/08/2020 ∙ by Johanna Wald, et al. ∙ 0 ∙ share

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Semantic Image Manipulation Using Scene Graphs

Image manipulation can be considered a special case of image generation ...
04/07/2020 ∙ by Helisa Dhamo, et al. ∙ 0 ∙ share

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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation

Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR...
04/07/2020 ∙ by Stefan Denner, et al. ∙ 9 ∙ share

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Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Deep unsupervised representation learning has recently led to new approa...
04/07/2020 ∙ by Christoph Baur, et al. ∙ 0 ∙ share

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Confident Coreset for Active Learning in Medical Image Analysis

Recent advances in deep learning have resulted in great successes in var...
04/05/2020 ∙ by Seong Tae Kim, et al. ∙ 0 ∙ share

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Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

Computer-aided diagnosis (CADx) algorithms in medicine provide patient-s...
03/31/2020 ∙ by Gerome Vivar, et al. ∙ 4 ∙ share

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Nassir Navab

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