Lotta M. Ellingsen
Reykjavík University(IS)University of Iceland(IS)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Advanced Neural Network Applications, Brain Tumor Detection and Classification, Cerebrospinal fluid and hydrocephalus, Fetal and Pediatric Neurological Disorders
Most-Cited Works
- → Brain age prediction using deep learning uncovers associated sequence variants(2019)406 cited
- → Longitudinal multiple sclerosis lesion segmentation: Resource and challenge(2017)344 cited
- → Applications of a deep learning method for anti-aliasing and super-resolution in MRI(2019)111 cited
- → 15q11.2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculia(2017)84 cited
- → Longitudinal multiple sclerosis lesion segmentation data resource(2017)60 cited
- → Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation(2007)53 cited
- → Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly(2019)53 cited
- → Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder(2019)43 cited
- → Digital Homeomorphisms in Deformable Registration(2007)42 cited
- → SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder(2019)35 cited