2 citations · 5 across the 16 of their papers we have counts for
16 papers
Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis
Dongdong Chen, Linlin Yao, Mengjun Liu +7
Recent studies in neuroscience highlight the significant potential of brain connectivity networks, which are commonly constructed from functional magnetic resonance imaging (fMRI)…
UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System
Yitao Zhu, Yuan Yin, Zhenrong Shen +5
The growing complexity and scale of visual model pre-training have made developing and deploying multi-task computer-aided diagnosis (CAD) systems increasingly challenging and reso…
Pathology Image Restoration via Mixture of Prompts
Jiangdong Cai, Yan Chen, Zhenrong Shen +5
In digital pathology, acquiring all-in-focus images is essential to high-quality imaging and high-efficient clinical workflow. Traditional scanners achieve this by scanning at mult…
LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening
Jiangdong Cai, Haotian Jiang, Zhenrong Shen +4
The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide images (WSIs) faces critical challenges due to domain shifts caused by staining v…
MITracker: Multi-View Integration for Visual Object Tracking
Mengjie Xu, Yitao Zhu, Haotian Jiang +8
Multi-view object tracking (MVOT) offers promising solutions to challenges such as occlusion and target loss, which are common in traditional single-view tracking. However, progres…
Structure-Guided MR-to-CT Synthesis with Spatial and Semantic Alignments for Attenuation Correction of Whole-Body PET/MR Imaging
Jiaxu Zheng, Zhenrong Shen, Lichi Zhang +1
Deep-learning-based MR-to-CT synthesis can estimate the electron density of tissues, thereby facilitating PET attenuation correction in whole-body PET/MR imaging. However, whole-bo…
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
Yan Kong, Sheng Wang, Jiangdong Cai +5
Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse distribution and visually ambiguous characteristics pose significant challenges for ac…
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening
Zhenrong Shen, Manman Fei, Xin Wang +4
Automatic thin-prep cytologic test (TCT) screening can assist pathologists in finding cervical abnormality towards accurate and efficient cervical cancer diagnosis. Current automat…
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images
Zhiyun Song, Zengxin Qi, Xin Wang +11
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extensively studied for magnetic resonance imaging (MRI). Their primary goals are to e…
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
Yitao Zhu, Zhenrong Shen, Zihao Zhao +5
The common practice in developing computer-aided diagnosis (CAD) models based on transformer architectures usually involves fine-tuning from ImageNet pre-trained weights. However,…
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation
Xiangyu Zhao, Sheng Wang, Zhiyun Song +5
Accurate automatic segmentation of medical images typically requires large datasets with high-quality annotations, making it less applicable in clinical settings due to limited tra…
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
Zhenrong Shen, Maosong Cao, Sheng Wang +2
Automatic examination of thin-prep cytologic test (TCT) slides can assist pathologists in finding cervical abnormality for accurate and efficient cancer screening. Current solution…
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion
Xin Wang, Zhenrong Shen, Zhiyun Song +5
Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resoluti…
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation
Xiangyu Zhao, Di Zang, Sheng Wang +10
Brain network analysis for traumatic brain injury (TBI) patients is critical for its consciousness level assessment and prognosis evaluation, which requires the segmentation of cer…
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
Zhenrong Shen, Xi Ouyang, Bin Xiao +3
Lung nodule detection in chest X-ray (CXR) images is common to early screening of lung cancers. Deep-learning-based Computer-Assisted Diagnosis (CAD) systems can support radiologis…
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing
Xin Wang, Sheng Wang, Honglin Xiong +7
Magnetic resonance (MR) images collected in 2D clinical protocols typically have large inter-slice spacing, resulting in high in-plane resolution and reduced through-plane resoluti…