most citedThe Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

27 citations · 29 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2022★ 1 cited

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…

eess.IV2021

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,…

eess.IV2021★ 27 cited

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari +70

Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing gene…

eess.IV2021★ 1 cited

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…