b'Nassir Navab'

research

∙ 05/18/2022

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects

Object pose estimation is crucial for robotic applications and augmented...

Pengyuan Wang, et al. ∙

research

∙ 05/16/2022

Weakly-supervised Biomechanically-constrained CT/MRI Registration of the Spine

CT and MRI are two of the most informative modalities in spinal diagnost...

Bailiang Jian, et al. ∙

research

∙ 05/10/2022

VesNet-RL: Simulation-based Reinforcement Learning for Real-World US Probe Navigation

Ultrasound (US) is one of the most common medical imaging modalities sin...

Yuan Bi, et al. ∙

research

∙ 05/08/2022

SoftPool++: An Encoder-Decoder Network for Point Cloud Completion

We propose a novel convolutional operator for the task of point cloud co...

Yida Wang, et al. ∙

research

∙ 04/15/2022

Υ-Net: A Spatiospectral Network for Retinal OCT Segmentation

Automated segmentation of retinal optical coherence tomography (OCT) ima...

Azade Farshad, et al. ∙

research

∙ 04/01/2022

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications

Graphs are a powerful tool for representing and analyzing unstructured, ...

Kamilia Mullakaeva, et al. ∙

research

∙ 03/30/2022

Learning Local Displacements for Point Cloud Completion

We propose a novel approach aimed at object and semantic scene completio...

Yida Wang, et al. ∙

research

∙ 03/30/2022

Interpretable Vertebral Fracture Diagnosis

Do black-box neural network models learn clinically relevant features fo...

Paul Engstler, et al. ∙

research

∙ 03/29/2022

Few-shot Structured Radiology Report Generation Using Natural Language Prompts

Chest radiograph reporting is time-consuming, and numerous solutions to ...

Matthias Keicher, et al. ∙

research

∙ 03/25/2022

Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis

The need for a large amount of labeled data in the supervised setting ha...

Mojtaba Bahrami, et al. ∙

research

∙ 03/23/2022

Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions

Pre-training has shown success in different areas of machine learning, s...

Chantal Pellegrini, et al. ∙

research

∙ 03/22/2022

4D-OR: Semantic Scene Graphs for OR Domain Modeling

Surgical procedures are conducted in highly complex operating rooms (OR)...

Ege Özsoy, et al. ∙

research

∙ 03/22/2022

Conditional Generative Data Augmentation for Clinical Audio Datasets

In this work, we propose a novel data augmentation method for clinical a...

Matthias Seibold, et al. ∙

research

∙ 03/21/2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Quantifying COVID-19 infection over time is an important task to manage ...

Tobias Czempiel, et al. ∙

research

∙ 03/17/2022

ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation

Establishing correspondences from image to 3D has been a key task of 6Do...

Yongzhi Su, et al. ∙

research

∙ 03/16/2022

Know your sensORs x2013 A Modality Study For Surgical Action Classification

The surgical operating room (OR) presents many opportunities for automat...

Lennart Bastian, et al. ∙

research

∙ 03/15/2022

From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction

There have been numerous recently proposed methods for monocular depth p...

Evin Pınar Örnek, et al. ∙

research

∙ 03/15/2022

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting

While 6D object pose estimation has recently made a huge leap forward, m...

Yan Di, et al. ∙

research

∙ 03/04/2022

Do Explanations Explain? Model Knows Best

It is a mystery which input features contribute to a neural network's ou...

Ashkan Khakzar, et al. ∙

research

∙ 02/03/2022

Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport

Shape matching has been a long-studied problem for the computer graphics...

Mahdi Saleh, et al. ∙

research

∙ 01/14/2022

Transformers in Action: Weakly Supervised Action Segmentation

The video action segmentation task is regularly explored under weaker fo...

John Ridley, et al. ∙

research

∙ 12/13/2021

RSV: Robotic Sonography for Thyroid Volumetry

In nuclear medicine, radioiodine therapy is prescribed to treat diseases...

John Zielke, et al. ∙

research

∙ 12/09/2021

3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection

As 3D object detection on point clouds relies on the geometrical relatio...

Alexander Lehner, et al. ∙

research

∙ 12/07/2021

Polarimetric Pose Prediction

Light has many properties that can be passively measured by vision senso...

Daoyi Gao, et al. ∙

research

∙ 12/07/2021

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments

Indirect Time-of-Flight (I-ToF) imaging is a widespread way of depth est...

HyunJun Jung, et al. ∙

research

∙ 12/06/2021

DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration

The ability to successfully grasp objects is crucial in robotics, as it ...

Pengyuan Wang, et al. ∙

research

∙ 12/02/2021

Object-aware Monocular Depth Prediction with Instance Convolutions

With the advent of deep learning, estimating depth from a single RGB ima...

enis-simsar, et al. ∙

research

∙ 11/30/2021

ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System

Retinal surgery is a complex medical procedure that requires exceptional...

Shervin Dehghani, et al. ∙

research

∙ 10/22/2021

MIGS: Meta Image Generation from Scene Graphs

Generation of images from scene graphs is a promising direction towards ...

Azade Farshad, et al. ∙

research

∙ 10/15/2021

Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation

Inferring geometrically consistent dense 3D scenes across a tuple of tem...

Patrick Ruhkamp, et al. ∙

research

∙ 10/04/2021

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

Estimating the uncertainty of a neural network plays a fundamental role ...

Stefano Gasperini, et al. ∙

research

∙ 10/04/2021

Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information

One principal approach for illuminating a black-box neural network is fe...

Yang Zhang, et al. ∙

research

∙ 10/03/2021

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

Consistent segmentation of COVID-19 patient's CT scans across multiple t...

Michelle Xiao-Lin Foo, et al. ∙

research

∙ 09/24/2021

Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Depth estimation from monocular images is an important task in localizat...

Mert Asim Karaoglu, et al. ∙

research

∙ 09/18/2021

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation

The lack of sufficient annotated image data is a common issue in medical...

Anastasia Makarevich, et al. ∙

research

∙ 09/11/2021

Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks

Sickle cell disease (SCD) is a severe genetic hemoglobin disorder that r...

Ario Sadafi, et al. ∙

research

∙ 08/19/2021

Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs

Controllable scene synthesis consists of generating 3D information that ...

Helisa Dhamo, et al. ∙

research

∙ 08/18/2021

SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

Directly regressing all 6 degrees-of-freedom (6DoF) for the object pose ...

Yan Di, et al. ∙

research

∙ 08/12/2021

Unconditional Scene Graph Generation

Despite recent advancements in single-domain or single-object image gene...

Sarthak Garg, et al. ∙

research

∙ 08/10/2021

Tracked 3D Ultrasound and Deep Neural Network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry

Background: Thyroid volumetry is crucial in diagnosis, treatment and mon...

Markus Krönke, et al. ∙

research

∙ 08/10/2021

R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes

While self-supervised monocular depth estimation in driving scenarios ha...

Stefano Gasperini, et al. ∙

research

∙ 07/29/2021

U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction

During the first wave of COVID-19, hospitals were overwhelmed with the h...

Matthias Keicher, et al. ∙

research

∙ 07/26/2021

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

We introduce a method that allows to automatically segment images into s...

Daniil Pakhomov, et al. ∙

research

∙ 07/18/2021

Deformation-Aware Robotic 3D Ultrasound

Tissue deformation in ultrasound (US) imaging leads to geometrical error...

Zhongliang Jiang, et al. ∙

research

∙ 07/13/2021

Motion-Aware Robotic 3D Ultrasound

Robotic three-dimensional (3D) ultrasound (US) imaging has been employed...

Zhongliang Jiang, et al. ∙

research

∙ 06/09/2021

Deep Direct Volume Rendering: Learning Visual Feature Mappings From Exemplary Images

Volume Rendering is an important technique for visualizing three-dimensi...

Jakob Weiss, et al. ∙

research

∙ 05/05/2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Medical Ultrasound (US), despite its wide use, is characterized by artif...

Maria Tirindelli, et al. ∙

research

∙ 04/08/2021

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

The increased amount of multi-modal medical data has opened the opportun...

Mahsa Ghorbani, et al. ∙

research

∙ 04/04/2021

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

Convolutional neural networks are showing promise in the automatic diagn...

Ashkan Khakzar, et al. ∙

research

∙ 04/01/2021

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

Neural networks have demonstrated remarkable performance in classificati...

Ashkan Khakzar, et al. ∙

Nassir Navab

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