output
20182026
most citedTransformers in Vision: A Survey

3.6k citations

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17 papers · 1 filter

eess.IV2022★ 47 cited

Outlier-based Autism Detection using Longitudinal Structural MRI

Devika K, Venkata Ramana Murthy Oruganti, Dwarikanath Mahapatra +1

Diagnosis of Autism Spectrum Disorder (ASD) using clinical evaluation (cognitive tests) is challenging due to wide variations amongst individuals. Since no effective treatment exis…

eess.IV2021★ 368 cited

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Bo Dong, Wenhai Wang, Deng-Ping Fan +3

Most polyp segmentation methods use CNNs as their backbone, leading to two key issues when exchanging information between the encoder and decoder: 1) taking into account the differ…

eess.IV2021★ 1 cited

DONet: Dual-Octave Network for Fast MR Image Reconstruction

Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu +3

Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose acceleration has long been the subject of research. This is commonly achieved by obtaining multi…

eess.IV2021★ 6 cited

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

Chun-Mei Feng, Yunlu Yan, Huazhu Fu +2

The core problem of Magnetic Resonance Imaging (MRI) is the trade off between acceleration and image quality. Image reconstruction and super-resolution are two crucial techniques i…

eess.IV2021★ 4 cited

Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction

Chun-Mei Feng, Zhanyuan Yang, Geng Chen +2

Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose acceleration by obtaining multiple undersampled images simultaneously through parallel imaging h…

eess.IV2021★ 233 cited

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Cheng Xue, Lei Zhu, Huazhu Fu +4

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accu…

eess.IV2021★ 1 cited

Variational Knowledge Distillation for Disease Classification in Chest X-Rays

Tom van Sonsbeek, Xiantong Zhen, Marcel Worring +1

Disease classification relying solely on imaging data attracts great interest in medical image analysis. Current models could be further improved, however, by also employing Electr…

eess.IV2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal

Chongyi Li, Huazhu Fu, Runmin Cong +2

Retinal images have been widely used by clinicians for early diagnosis of ocular diseases. However, the quality of retinal images is often clinically unsatisfactory due to eye lesi…

eess.IV2020

Retinal Image Segmentation with a Structure-Texture Demixing Network

Shihao Zhang, Huazhu Fu, Yanwu Xu +2

Retinal image segmentation plays an important role in automatic disease diagnosis. This task is very challenging because the complex structure and texture information are mixed in…

eess.IV2020★ 111 cited

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4

Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy image…

eess.IV2020★ 187 cited

Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images

Xiaocong Chen, Lina Yao, Tao Zhou +2

The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare…

eess.IV2020★ 1 cited

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Jinkui Hao, Huazhu Fu, Yanwu Xu +5

Precise characterization and analysis of iris shape from Anterior Segment OCT (AS-OCT) are of great importance in facilitating diagnosis of angle-closure-related diseases. Existing…

eess.IV2020★ 16 cited

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomo…

eess.IV2020★ 9 cited

Modeling and Enhancing Low-quality Retinal Fundus Images

Ziyi Shen, Huazhu Fu, Jianbing Shen +1

Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases. However, fundus images captured by operators with various levels of experience have…

eess.IV2020★ 23 cited

CycleISP: Real Image Restoration via Improved Data Synthesis

Syed Waqas Zamir, Aditya Arora, Salman Khan +4

The availability of large-scale datasets has helped unleash the true potential of deep convolutional neural networks (CNNs). However, for the single-image denoising problem, captur…

eess.IV2019★ 126 cited

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

Yi Zhou, Boyang Wang, Xiaodong He +2

Diabetic retinopathy (DR) is a complication of diabetes that severely affects eyes. It can be graded into five levels of severity according to international protocol. However, opti…

eess.IV2019★ 22 cited

Attention Guided Network for Retinal Image Segmentation

Shihao Zhang, Huazhu Fu, Yuguang Yan +5

Learning structural information is critical for producing an ideal result in retinal image segmentation. Recently, convolutional neural networks have shown a powerful ability to ex…