Nikolas Leßmann

Radboud University Nijmegen — Netherlands

Engineering · Physical Sciences

22h-index2.4kcitations68works17.22yr avg
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Research Topics

Medical Imaging and Analysis(23), Cardiac Imaging and Diagnostics(19), Advanced X-ray and CT Imaging(17), Radiomics and Machine Learning in Medical Imaging(16), Spine and Intervertebral Disc Pathology(11)

Publications68 total

AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images
European Radiology·2024· 5 citedOpen Access
Semi-Supervised Segmentation via Embedding Matching
arXiv (Cornell University)·2024· 1 citedOpen Access
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
International Journal of Computer Assisted Radiology and Surgery·2024· 8 citedOpen Access
Lumbar spine segmentation in MR images: a dataset and a public benchmark
Scientific Data·2024· 65 citedOpen Access
Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI
European Radiology·2024· 7 citedOpen Access
The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis
Bone·2023· 4 citedOpen Access
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark
Zenodo (CERN European Organization for Nuclear Research)·2023· 4 citedOpen Access
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark
Zenodo (CERN European Organization for Nuclear Research)·2023· 1 citedOpen Access
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Transfer learning from a sparsely annotated dataset of 3D medical images
arXiv (Cornell University)·2023· 2 citedOpen Access
Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning
Journal of Hand Surgery (European Volume)·2023· 10 citedOpen Access
Kidney abnormality segmentation in thorax-abdomen CT scans
arXiv (Cornell University)·2023Open Access
Lumbar spine segmentation in MR images: a dataset and a public benchmark
arXiv (Cornell University)·2023· 2 citedOpen Access
SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark
2023Open Access
MRI image features with an evident relation to low back pain: a narrative review
European Spine Journal·2023· 33 citedOpen Access
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning
IEEE Transactions on Medical Imaging·2022· 13 citedOpen Access
Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation
Frontiers in Cardiovascular Medicine·2022· 5 citedOpen Access
Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation
Journal of Medical Imaging·2022· 30 citedOpen Access
Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation
Medical Imaging 2022: Image Processing·2022· 4 cited
Automatic Brand Identification of Orthopedic Implants from Radiographs: Ready for the Next Step?
Radiology Artificial Intelligence·2022· 1 citedOpen Access
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Frequent Co-authors

Ivana Išgum(30), Bram van Ginneken(22), Pim A. de Jong(18), Max A. Viergever(11), Tim Leiner(8), Jasper W. van der Graaf(8), Miranda L. van Hooff(8), Bob D. de Vos(7), Sanne G. M. van Velzen(6), Helena M. Verkooijen(6), Colin Jacobs(6), Constantinus F. M. Buckens(6), Matthieu Rutten(6), Marinus de Kleuver(6), Robert Jan Kroeze(5), Majd Zreik(4), Jelmer M. Wolterink(4), Mathias Prokop(4), Job L. C. van Susante(4), Birgitta K. Velthuis(3)