4.6k citations · 5.8k across the 34 of their papers we have counts for
10 papers · 1 filter
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students
Hanna Siebert, Marian Himstedt, Mattias Heinrich
In order to be able to use artificial intelligence (AI) in medicine without scepticism and to recognise and assess its growing potential, a basic understanding of this topic is nec…
Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization
Abhishek Dinkar Jagtap, Mattias Heinrich, Marian Himstedt
An increasing number of colonoscopic guidance and assistance systems rely on machine learning algorithms which require a large amount of high-quality training data. In order to ens…
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
Reuben Dorent, Aaron Kujawa, Marina Ivory +37
Domain Adaptation (DA) has recently raised strong interests in the medical imaging community. While a large variety of DA techniques has been proposed for image segmentation, most…
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
Current approaches for deformable medical image registration often struggle to fulfill all of the following criteria: versatile applicability, small computation or training times,…
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony C. W. Mok +50
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medi…
Development and Characterization of a Chest CT Atlas
Kaiwen Xu, Riqiang Gao, Mirza S. Khan +8
A major goal of lung cancer screening is to identify individuals with particular phenotypes that are associated with high risk of cancer. Identifying relevant phenotypes is complic…
Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
Timo Kepp, Helge Sudkamp, Claus von der Burchard +6
The treatment of age-related macular degeneration (AMD) requires continuous eye exams using optical coherence tomography (OCT). The need for treatment is determined by the presence…
Sequential Rib Labeling and Segmentation in Chest X-Ray using Mask R-CNN
Jöran Wessel, Mattias P. Heinrich, Jens von Berg +2
Mask R-CNN is a state-of-the-art network architecture for the detection and segmentation of object instances in the computer vision domain. In this contribution, it is used to loca…
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms
Niclas Bockelmann, Diana Krüger, D. C. Florian Wieland +9
Currently, most bone implants used in orthopedics and traumatology are non-degradable and may need to be surgically removed later on e.g. in the case of children. This removal is a…
Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge
Yiming Xiao, Hassan Rivaz, Matthieu Chabanas +13
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-operative tissue deformation, called brain shift. Brain shift can move the surgical targets…