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Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification

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1 Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3220545

Abstract: Numerous studies have shown that accurate analysis of neurological disorders contributes to the early diagnosis of brain disorders and provides a window to diagnose psychiatric disorders due to brain atrophy. The emergence of geometric deep… read more here.

Keywords: network; dual attention; brain; deep manifold ... See more keywords

Deep Manifold Reconstruction Neural Network for Hyperspectral Image Classification

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1 Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3042999

Abstract: Deep learning (DL) has received extensive attention from the remote sensing community in recent years due to its ability to learn deep abstract information through a hierarchical network. However, most DL methods fail to explore… read more here.

Keywords: manifold reconstruction; deep manifold; reconstruction neural; network ... See more keywords

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images

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0 Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"

DOI: 10.1109/tcbb.2018.2858763

Abstract: Classifying breast cancer histopathological images automatically is an important task in computer assisted pathology analysis. However, extracting informative and non-redundant features for histopathological image classification is challenging due to the appearance variability caused by the… read more here.

Keywords: manifold preserving; breast cancer; breast; deep manifold ... See more keywords

Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition

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0 Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2017.2740318

Abstract: Learning deep representations have been applied in action recognition widely. However, there have been a few investigations on how to utilize the structural manifold information among different action videos to enhance the recognition accuracy and… read more here.

Keywords: action recognition; deep manifold; convolutional neural; recognition ... See more keywords

Deep manifold learning reveals hidden developmental dynamics of a human embryo model

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0 Published in 2025 at "Science Advances"

DOI: 10.1126/sciadv.adr8901

Abstract: In this study, postimplantation human epiblast and amnion development are modeled using a stem cell–based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell masks, is generated from experimental data.… read more here.

Keywords: manifold learning; developmental dynamics; hidden developmental; deep manifold ... See more keywords