Li Zhang (张立)

Li Zhang (张立)

University of Iowa

H-index: 24

North America-United States

About Li Zhang (张立)

Li Zhang (张立), With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of Medical image analysis.

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

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer

Cluster-induced mask transformers for effective opportunistic gastric cancer screening on non-contrast CT scans

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with F-FDG PET

Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

Li Zhang (张立) Information

University

Position

The Iowa Institute for Biomedical Imaging

Citations(all)

1561

Citations(since 2020)

1086

Cited By

781

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Li Zhang (张立) Skills & Research Interests

Medical image analysis

Top articles of Li Zhang (张立)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization

2023

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

2023/11/3

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer

2023/10/1

Cluster-induced mask transformers for effective opportunistic gastric cancer screening on non-contrast CT scans

2023/10/1

Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade

Journal for ImmunoTherapy of Cancer

2023/6/1

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

arXiv preprint arXiv:2305.17871

2023/5/29

CT-based delta radiomics in predicting the prognosis of stage IV gastric cancer to immune checkpoint inhibitors

Frontiers in Oncology

2023/1/4

Advanced prompting as a catalyst: Empowering large language models in the management of gastrointestinal cancers

The Innovation

2023

Contractible Regularization for Federated Learning on Non-IID Data

2022/11/28

Abdominal Organ Segmentation via Self Training

2022/9/4

Predicting response to immunotherapy in gastric cancer via multi-dimensional analyses of the tumour immune microenvironment

Nature Communications

2022/8/18

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation

arXiv preprint arXiv:2205.08083

2022/5/17

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-Fine Localization and Classification

2022/3/28

Skin disease diagnosis with deep learning: a review

2021/11/13

Unsupervised domain adaptation in semantic segmentation based on pixel alignment and self-training

WACV

2021

Dast: Unsupervised domain adaptation in semantic segmentation based on discriminator attention and self-training

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Composite localization for human pose estimation

arXiv preprint arXiv:2105.07245

2021/5/15

Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images

2020/4/3

See List of Professors in Li Zhang (张立) University(University of Iowa)

Co-Authors

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