4.6k citations · 5.8k across the 34 of their papers we have counts for
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Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
Alexander Bigalke, Lasse Hansen, Jasper Diesel +3
3D human pose estimation is a key component of clinical monitoring systems. The clinical applicability of deep pose estimation models, however, is limited by their poor generalizat…
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy
Ron Keuth, Mattias Heinrich, Martin Eichenlaub +1
Video bronchoscopy is routinely conducted for biopsies of lung tissue suspected for cancer, monitoring of COPD patients and clarification of acute respiratory problems at intensive…
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…
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts
Alexander Bigalke, Lasse Hansen, Mattias P. Heinrich
Recent deep learning-based methods for medical image registration achieve results that are competitive with conventional optimization algorithms at reduced run times. However, deep…
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…
Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation
Mattias P. Heinrich, Lasse Hansen
The majority of current research in deep learning based image registration addresses inter-patient brain registration with moderate deformation magnitudes. The recent Learn2Reg med…
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…