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Found 11 papers, 6 papers with code
YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
We propose a general-purpose approach of data acquisition for 6-DoF pose estimation tasks in X-ray systems, a novel and general purpose YOLOv5-6D pose architecture for accurate and fast object pose estimation and a complete method for surgical screw pose estimation under acquisition geometry consideration from a monocular cone-beam X-ray image.
Ranked #3 on
6D Pose Estimation using RGB
on LineMOD
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Annotations and benchmark performance are provided for action recognition and assembly state detection, as well as the new PSR task.
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options.
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
The results indicate that by encouraging a homogeneous latent space, one can significantly improve latent density modeling for medical image segmentation.
A signal processing interpretation of noise-reduction convolutional neural networks
Encoding-decoding CNNs play a central role in data-driven noise reduction and can be found within numerous deep-learning algorithms.
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
To this end, we have developed a 3D probabilistic segmentation framework augmented with NFs, to enable capturing the distributions of various complexity.
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray
Deep learning-based pose estimation algorithms can successfully estimate the pose of objects in an image, especially in the field of color images.
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
In this work, we aim at using these biases with domain-level knowledge of melanoma, to improve likelihood-based OOD detection of malignant images.
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Pancreatic cancer is one of the global leading causes of cancer-related deaths.
Why rankings of biomedical image analysis competitions should be interpreted with care
International challenges have become the standard for validation of biomedical image analysis methods.
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017.
Information Theory Information Theory 68P30, 94A05
