research
∙
04/26/2023
Phagocytosis Unveiled: A Scalable and Interpretable Deep learning Framework for Neurodegenerative Disease Analysis
Quantifying the phagocytosis of dynamic, unstained cells is essential fo...
share
research
∙
02/25/2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data
One often lacks sufficient annotated samples for training deep segmentat...
research
∙
01/13/2023
Computational Pathology for Brain Disorders
Non-invasive brain imaging techniques allow understanding the behavior a...
research
∙
11/02/2022
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI
Early and accurate diagnosis of parkinsonian syndromes is critical to pr...
research
∙
11/27/2018
eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images
In this paper, we introduced a novel feature extraction approach, named ...
research
∙
03/01/2016