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09/10/2023
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
In this paper, we introduce a completion framework to reconstruct the ge...
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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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03/13/2023
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Positron Emission Tomography (PET) and Computer Tomography (CT) are rout...
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03/13/2023
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
Interactive segmentation reduces the annotation time of medical images a...
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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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12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
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10/25/2022
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
With the rise in importance of personalized medicine, we trained persona...
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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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09/29/2022
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder
The reconstruction loss and the Kullback-Leibler divergence (KLD) loss i...
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09/06/2022
The HoloLens in Medicine: A systematic Review and Taxonomy
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-...
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09/02/2022
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
Tumor volume and changes in tumor characteristics over time are importan...
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07/04/2022
GAN-based generation of realistic 3D data: A systematic review and taxonomy
Data has become the most valuable resource in today's world. With the ma...
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05/19/2022
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping
Objectives: Present a novel deep learning-based skull stripping algorith...
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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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04/12/2022
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Designing implants for large and complex cranial defects is a challengin...
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03/21/2022
Review of Disentanglement Approaches for Medical Applications – Towards Solving the Gordian Knot of Generative Models in Healthcare
Deep neural networks are commonly used for medical purposes such as imag...
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12/01/2021
MOMO – Deep Learning-driven classification of external DICOM studies for PACS archivation
Patients regularly continue assessment or treatment in other facilities ...
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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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08/06/2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
The aortic vessel tree is composed of the aorta and its branching arteri...
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05/12/2021
The Federated Tumor Segmentation (FeTS) Challenge
This manuscript describes the first challenge on Federated Learning, nam...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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03/10/2021
A Relational-learning Perspective to Multi-label Chest X-ray Classification
Multi-label classification of chest X-ray images is frequently performed...
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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
