Lichi Zhang | DeepAI

AI Chat

Featured Co-authors

Dacheng Tao
495 publications
Xin Wang
382 publications
Wei Chen
332 publications
Chang Liu
231 publications
Fan Yang
225 publications
Zhe Wang
161 publications
Qian Wang
147 publications
Yu Sun
127 publications
Yefeng Zheng
117 publications
Dongdong Chen
113 publications
Kurt Keutzer
112 publications

∙ 09/06/2023

Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening

Vulvovaginal candidiasis (VVC) is the most prevalent human candidal infe...

0 Jiangdong Cai, et al. ∙

∙ 09/02/2023

AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation

Accurate automatic segmentation of medical images typically requires lar...

0 Xiangyu Zhao, et al. ∙

∙ 07/12/2023

CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification

Automatic examination of thin-prep cytologic test (TCT) slides can assis...

0 Zhenrong Shen, et al. ∙

∙ 07/10/2023

CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning

Background: MR-based subchondral bone effectively predicts knee osteoart...

0 Yuqi Hu, et al. ∙

∙ 05/15/2023

Learning Better Contrastive View from Radiologist's Gaze

Recent self-supervised contrastive learning methods greatly benefit from...

0 Sheng Wang, et al. ∙

∙ 04/20/2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning

Mammographic image analysis is a fundamental problem in the computer-aid...

0 Zheren Li, et al. ∙

∙ 04/16/2023

Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

Magnetic resonance (MR) images collected in 2D scanning protocols typica...

0 Xin Wang, et al. ∙

∙ 01/13/2023

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation

Medical image segmentation methods are generally designed as fully-super...

0 Xiangyu Zhao, et al. ∙

∙ 01/05/2023

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching

Graph matching can be formalized as a combinatorial optimization problem...

0 Dongdong Chen, et al. ∙

∙ 08/12/2022

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation

Brain network analysis for traumatic brain injury (TBI) patients is crit...

10 Xiangyu Zhao, et al. ∙

∙ 05/23/2022

Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation

Magnetic resonance (MR) images are often acquired in 2D settings for rea...

0 Xin Wang, et al. ∙

∙ 01/12/2022

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution

Knee osteoarthritis (OA) is the most common osteoarthritis and a leading...

7 Zixu Zhuang, et al. ∙

∙ 08/12/2021

Multi-Modal MRI Reconstruction with Spatial Alignment Network

In clinical practice, magnetic resonance imaging (MRI) with multiple con...

16 Kai Xuan, et al. ∙

∙ 05/19/2020

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency

Knee osteoarthritis (OA) is one of the most common musculoskeletal disor...

3 Jiayu Huo, et al. ∙

∙ 01/12/2020

Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention

Brain magnetic resonance (MR) segmentation for hydrocephalus patients is...

0 Xuhua Ren, et al. ∙

∙ 06/25/2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization

Medical image segmentation is challenging especially in dealing with sma...

0 Xuhua Ren, et al. ∙

∙ 05/21/2019

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Semantic segmentation is essentially important to biomedical image analy...

0 Xuhua Ren, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world