259 citations
- University of Duisburg-EssenDE9 papers
- TU Dortmund UniversityDE7 papers
- Dortmund University of Applied Sciences and ArtsDE6 papers
- Institut für Medizinische Informatik, Biometrie und EpidemiologieDE5 papers
- German Cancer Research CenterDE4 papers
- Graz University of TechnologyAT4 papers
- RWTH Aachen UniversityDE4 papers
- Universidad de GranadaES4 papers
- Artificial Intelligence in Medicine (Canada)CA3 papers
- Brigham and Women's HospitalUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Computer Algorithms for MedicineAT3 papers
7 papers · 1 filter
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling
Antonio Pepe, Richard Schussnig, Jianning Li +3
Shape reconstruction from imaging volumes is a recurring need in medical image analysis. Common workflows start with a segmentation step, followed by careful post-processing and,fi…
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst +9
Background: Cell segmentation in bright-field histological slides is a crucial topic in medical image analysis. Having access to accurate segmentation allows researchers to examine…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Frederic Jonske, Moon Kim, Enrico Nasca +8
It is an open secret that ImageNet is treated as the panacea of pretraining. Particularly in medical machine learning, models not trained from scratch are often finetuned based on…
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek
Interactive segmentation reduces the annotation time of medical images and allows annotators to iteratively refine labels with corrective interactions, such as clicks. While existi…
FakeNews: GAN-based generation of realistic 3D volumetric data -- A systematic review and taxonomy
André Ferreira, Jianning Li, Kelsey L. Pomykala +3
With the massive proliferation of data-driven algorithms, such as deep learning-based approaches, the availability of high-quality data is of great interest. Volumetric data is ver…