Hui Cui

Hui Cui

La Trobe University

H-index: 16

Oceania-Australia

About Hui Cui

Hui Cui, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at La Trobe University, specializes in the field of Medical Image Processing, Graph Topology, Graph Neural Network.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis using Histopathological Images

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs

Inter-and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information

Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction

Hui Cui Information

University

Position

Lecturer

Citations(all)

1210

Citations(since 2020)

1112

Cited By

269

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

27

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Hui Cui Skills & Research Interests

Medical Image Processing

Graph Topology

Graph Neural Network

Top articles of Hui Cui

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis using Histopathological Images

IEEE Transactions on Medical Imaging

2024/3/26

Hui Cui
Hui Cui

H-Index: 9

Jing Ke
Jing Ke

H-Index: 12

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs

Journal of Chemical Information and Modeling

2024/3/24

Inter-and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

Expert Systems with Applications

2024/3/15

Mutually enhanced multi-view information learning for segmentation of lung tumor in CT images

Physics in Medicine and Biology

2024/2/14

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes

Bioinformatics

2024/2/1

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans

2023/12/5

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information

2023/10/1

Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction

Molecules

2023/9/9

Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects

Frontiers in Pharmacology

2023/9/4

Cross Pyramid Transformer makes U-net stronger in medical image segmentation

Biomedical Signal Processing and Control

2023/9/1

Yue Sheng
Yue Sheng

H-Index: 13

Hui Cui
Hui Cui

H-Index: 9

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA–disease association prediction

Computers in Biology and Medicine

2023/9/1

Integrating Preoperative Computed Tomography and Clinical Factors for Lymph Node Metastasis Prediction in Esophageal Squamous Cell Carcinoma by Feature-Wise Attentional Graph …

International Journal of Radiation Oncology* Biology* Physics

2023/7/1

Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality

Virtual Reality

2023/6

Class activation attention transfer neural networks for MCI conversion prediction

Computers in Biology and Medicine

2023/4/1

Integrating preoperative CT and clinical factors for lymph node metastasis prediction in esophageal squamous cell carcinoma (ESCC) by feature-wise attentional graph neural …

International Journal of Radiation Oncology, Biology, Physics

2023/1/11

Topological structure and global features enhanced graph reasoning model for non-small cell lung cancer segmentation from CT

Physics in Medicine & Biology

2023/1/5

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation

Applied Soft Computing

2023/1/1

MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation

Physics in Medicine & Biology

2023/12/28

Yue Sheng
Yue Sheng

H-Index: 13

Hui Cui
Hui Cui

H-Index: 9

MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features

2023/12/5

Hui Cui
Hui Cui

H-Index: 9

Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation

Physics in Medicine & Biology

2022/11/18

See List of Professors in Hui Cui University(La Trobe University)

Co-Authors

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