output
20122025
most citedMultidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

416 citations

Showing cs.CVShow all

7 papers · 1 filter

cs.CV2024★ 1 cited

Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding

Alexander Oberstrass, Jordan DeKraker, Nicola Palomero-Gallagher +5

Understanding the cortical organization of the human brain requires interpretable descriptors for distinct structural and functional imaging data. 3D polarized light imaging (3D-PL…

cs.CV2022★ 26 cited

Deep radiomic signature with immune cell markers predicts the survival of glioma patients

Ahmad Chaddad, Paul Daniel Mingli Zhang, Saima Rathore +3

Imaging biomarkers offer a non-invasive way to predict the response of immunotherapy prior to treatment. In this work, we propose a novel type of deep radiomic features (DRFs) comp…

cs.CV2019★ 309 cited

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41

Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…

cs.CV2019★ 2 cited

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis +4

Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated sta…

cs.CV2018★ 8 cited

Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain

Andrija Štajduhar, Domagoj Džaja, Miloš Judaš +1

In this paper, we present a novel use of an anisotropic diffusion model for automatic detection of neurons in histological sections of the adult human brain cortex. We use a partia…

cs.CV2017★ 416 cited

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

Emilie Gerardin, Gaël Chételat, Marie Chupin +9

We describe a new method to automatically discriminate between patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) and elderly controls, based on multidimensi…

cs.CV2015★ 1 cited

Gait Assessment for Multiple Sclerosis Patients Using Microsoft Kinect

Farnood Gholami, Daria A. Trojan, Jozsef Kovecses +2

Gait analysis of patients with neurological disorders, including multiple sclerosis (MS), is important for rehabilitation and treatment. The Mircrosoft Kinect sensor, which was dev…