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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...
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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...
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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...
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Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Medical imaging data suffers from the limited availability of annotation...
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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 ...
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Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds
Panoptic segmentation has recently unified semantic and instance segment...
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SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion
Real-time scene reconstruction from depth data inevitably suffers from o...
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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...
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RGB-D SLAM with Structural Regularities
This work proposes a RGB-D SLAM system specifically designed for structu...
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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...
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Polyp-artifact relationship analysis using graph inductive learned representations
The diagnosis process of colorectal cancer mainly focuses on the localiz...
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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...
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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 ...
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Continual Class Incremental Learning for CT Thoracic Segmentation
Deep learning organ segmentation approaches require large amounts of ann...
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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...
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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...
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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 ...
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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:...
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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...
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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...
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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...
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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...
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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...
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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...
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Decision Support for Intoxication Prediction Using Graph Convolutional Networks
Every day, poison control centers (PCC) are called for immediate classif...
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Explicit Domain Adaptation with Loosely Coupled Samples
Transfer learning is an important field of machine learning in general, ...
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Colonoscope tracking method based on shape estimation network
This paper presents a colonoscope tracking method utilizing a colon shap...
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Self6D: Self-Supervised Monocular 6D Object Pose Estimation
Estimating the 6D object pose is a fundamental problem in computer visio...
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6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
We present a multimodal camera relocalization framework that captures am...
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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...
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Semantic Image Manipulation Using Scene Graphs
Image manipulation can be considered a special case of image generation ...
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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...
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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...
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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...
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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...
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Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning
In this paper we introduce the first reinforcement learning (RL) based r...
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Latent Patient Network Learning for Automatic Diagnosis
Recently, Graph Convolutional Networks (GCNs) has proven to be a powerfu...
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ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging
Medical image segmentation is one of the major challenges addressed by m...
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CPS: Class-level 6D Pose and Shape Estimation From Monocular Images
Contemporary monocular 6D pose estimation methods can only cope with a h...
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Fairness by Learning Orthogonal Disentangled Representations
Learning discriminative powerful representations is a crucial step for m...
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From Perspective X-ray Imaging to Parallax-Robust Orthographic Stitching
Stitching images acquired under perspective projective geometry is a rel...
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Exploring Partial Intrinsic and Extrinsic Symmetry in 3D Medical Imaging
We present a novel methodology to detect imperfect bilateral symmetry in...
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Spatiotemporal-Aware Augmented Reality: Redefining HCI in Image-Guided Therapy
Suboptimal interaction with patient data and challenges in mastering 3D ...
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On the Effectiveness of Virtual Reality-based Training for Robotic Setup
Virtual Reality (VR) is rapidly increasing in popularity as a teaching t...
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Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"
Spine injections are commonly performed in several clinical procedures. ...
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Differentiable Graph Module (DGM) Graph Convolutional Networks
Graph deep learning has recently emerged as a powerful ML concept allowi...
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A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
Colorectal polyps are abnormalities in the colon tissue that can develop...
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Pivot calibration concept for sensor attached mobile c-arms
Medical augmented reality has been actively studied for decades and many...
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Animals in Virtual Environments
The core idea in an XR (VR/MR/AR) application is to digitally stimulate ...
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A Comparative Analysis of Virtual Reality Head-Mounted Display Systems
With recent advances of Virtual Reality (VR) technology, the deployment ...
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