Integrating convolutional and transformer networks for precise diagnosis of watershed and hemorrhagic stroke
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-25539-7
Abstract: Ischemic watershed strokes (IWS), also known as border zone infarcts hold significant importance in neurology, however, are often overlooked type of Ischemic Stroke. They are difficult to detect due to their subtle appearance and small… read more here.
Keywords: transformer networks; stroke; convolutional transformer; integrating convolutional ... See more keywords
Multichannel convolutional transformer for detecting mental disorders using electroancephalogrpahy records
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-98264-w
Abstract: Mental disorders represent a critical global health challenge that affects millions around the world and significantly disrupts daily life. Early and accurate detection is paramount for timely intervention, which can lead to improved treatment outcomes.… read more here.
Keywords: convolutional transformer; dataset; mental disorders; model ... See more keywords
Incorporating convolutional and transformer architectures to enhance semantic segmentation of fine-resolution urban images
Sign Up to like & getrecommendations! Published in 2024 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2024.2361768
Abstract: ABSTRACT Though convolutional neural networks (CNN) exhibit promise in image semantic segmentation, they have limitations in capturing global context information, resulting in inaccuracies in segmenting small object features and object boundaries. This study introduces a… read more here.
Keywords: information; convolutional transformer; segmentation; transformer architectures ... See more keywords
Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3568505
Abstract: Wi-Fi-enabled vision offers a transformative paradigm for non-optical pose estimation, particularly in occluded or privacy-sensitive environments where traditional visual systems falter. Despite its promise, extracting reliable pose information from Wi-Fi Channel State Information (CSI) remains… read more here.
Keywords: convolutional transformer; pose estimation; estimation; transformer network ... See more keywords
Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3234302
Abstract: In cross-domain hyperspectral image (HSI) classification, the labeled samples of the target domain are very limited, and it is a worthy attention to obtain sufficient class information from the source domain to categorize the target… read more here.
Keywords: convolutional transformer; cross domain; domain; shot learning ... See more keywords
Convolutional Transformer Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3169815
Abstract: Convolutional neural networks (CNNs) have attained remarkable performance in hyperspectral image (HSI) classification. However, the existing CNNs are restricted by their limited receptive field in HSI classification. Recently, transformer networks have proved to be promising… read more here.
Keywords: convolutional transformer; classification; hsi classification; transformer network ... See more keywords
Global in Local: A Convolutional Transformer for SAR ATR FSL
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3183467
Abstract: Convolutional neural networks (CNNs) have dominated the synthetic aperture radar (SAR) automatic target recognition (ATR) for years. However, under limited SAR images, the width and depth of the CNN-based models are limited, and the widening… read more here.
Keywords: sar atr; atr fsl; convolutional transformer; sar ... See more keywords
Global–Local 3-D Convolutional Transformer Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3272885
Abstract: Benefiting from powerful feature extraction capabilities, convolutional neural networks (CNNs) have gained prominence in hyperspectral image (HSI) classification. Nevertheless, with restricted receptive fields of convolution kernels, CNN-based methods fail to learn complex characteristics of long-range… read more here.
Keywords: convolutional transformer; spectral spatial; local convolutional; global local ... See more keywords
DCTN: Dual-Branch Convolutional Transformer Network With Efficient Interactive Self-Attention for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3364143
Abstract: Hyperspectral image (HSI) classification is an essential task in remote sensing with substantial practical significance. However, most existing convolutional neural network (CNN)-based classification methods focus only on local spatial features while neglecting global spectral dependencies.… read more here.
Keywords: classification; convolutional transformer; dual branch; network ... See more keywords
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3230250
Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, we propose a compact Convolutional Transformer, named… read more here.
Keywords: visualization; eeg conformer; eeg decoding; convolutional transformer ... See more keywords
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time
Sign Up to like & getrecommendations! Published in 2023 at "Biomedicines"
DOI: 10.3390/biomedicines11061566
Abstract: Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill of ophthalmologists and is… read more here.
Keywords: time; convolutional transformer; compact convolutional; model ... See more keywords