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07/25/2023
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
In this study, we present a method for generating automated anatomy segm...
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06/27/2023
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Nuclei detection and segmentation in hematoxylin and eosin-stained (H ...
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06/06/2023
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
Purpose: Interpreting chest radiographs (CXR) remains challenging due to...
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01/24/2023
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
Recently, deep learning enabled the accurate segmentation of various dis...
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10/21/2022
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
The segmentation of histopathological whole slide images into tumourous ...
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10/07/2022
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
In clinical radiology reports, doctors capture important information abo...
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05/14/2022
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training
When reading images, radiologists generate text reports describing the f...
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04/29/2022
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data
Structured Visual Content (SVC) such as graphs, flow charts, or the like...
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04/10/2022
A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding
Visual recognition inside the vehicle cabin leads to safer driving and m...
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03/24/2022
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction
Dimensionality reduction is crucial both for visualization and preproces...
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12/01/2021
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
Producing densely annotated data is a difficult and tedious task for med...
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08/16/2021
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
Lacking the ability to sense ambient environments effectively, blind and...
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07/12/2021
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
Recognizing Activities of Daily Living (ADL) is a vital process for inte...
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05/27/2021
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Drones have become a common tool, which is utilized in many tasks such a...
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04/27/2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Pixel-wise segmentation is one of the most data and annotation hungry ta...
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02/02/2021
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Detector-based spectral computed tomography is a recent dual-energy CT (...
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09/30/2020
Self-Guided Multiple Instance Learning for Weakly Supervised Disease Classification and Localization in Chest Radiographs
The lack of fine-grained annotations hinders the deployment of automated...
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08/01/2019
