Jianming Liang

Jianming Liang

Arizona State University

H-index: 44

North America-United States

About Jianming Liang

Jianming Liang, With an exceptional h-index of 44 and a recent h-index of 37 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Imaging Informatics, Computer-aided Diagnosis, Deep Learning, Medical Image Analysis.

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

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision

Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning

SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING DISCRIMINATIVE, RESTORATIVE, AND ADVERSARIAL (DiRA) LEARNING USING STEPWISE INCREMENTAL PRE-TRAINING FOR MEDICAL IMAGE ANALYSIS

Systems, methods, and apparatuses for the generation of self-taught models genesis absent manual labeling for the processing of medical imaging

Systems, methods, and apparatuses for training a deep model to learn contrastive representations embedded within part-whole semantics via a self-supervised learning framework

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?

Segmentation and classification: theories, algorithms and applications

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism

Jianming Liang Information

University

Position

___

Citations(all)

17125

Citations(since 2020)

14781

Cited By

6063

hIndex(all)

44

hIndex(since 2020)

37

i10Index(all)

111

i10Index(since 2020)

86

Email

University Profile Page

Google Scholar

Jianming Liang Skills & Research Interests

Imaging Informatics

Computer-aided Diagnosis

Deep Learning

Medical Image Analysis

Top articles of Jianming Liang

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision

arXiv preprint arXiv:2404.15672

2024/4/24

Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning

Medical Image Analysis

2024/4/16

Jianming Liang
Jianming Liang

H-Index: 27

SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING DISCRIMINATIVE, RESTORATIVE, AND ADVERSARIAL (DiRA) LEARNING USING STEPWISE INCREMENTAL PRE-TRAINING FOR MEDICAL IMAGE ANALYSIS

2023/9/7

Systems, methods, and apparatuses for the generation of self-taught models genesis absent manual labeling for the processing of medical imaging

2022/8/18

Systems, methods, and apparatuses for training a deep model to learn contrastive representations embedded within part-whole semantics via a self-supervised learning framework

2024/2/27

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?

Medical Image Analysis

2024/1/28

Segmentation and classification: theories, algorithms and applications

Frontiers in Computer Science

2024/1/18

Xiaohao Cai
Xiaohao Cai

H-Index: 11

Jianming Liang
Jianming Liang

H-Index: 27

Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism

Medical image analysis

2024/1/1

Learning Anatomically Consistent Embedding for Chest Radiography

arXiv preprint arXiv:2312.00335

2023/12/1

Jianming Liang
Jianming Liang

H-Index: 27

Towards foundation models learned from anatomy in medical imaging via self-supervision

2023/10/12

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

2023/10/1

Jianming Liang
Jianming Liang

H-Index: 27

Systems, methods, and apparatuses for implementing self-supervised domain-adaptive pre-training via a transformer for use with medical image classification

2023/9/28

Systems, methods, and apparatuses for learning semantics-enriched representations via self-discovery, self-classification, and self-restoration in the context of medical imaging

2023/9/19

SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING A SELF-SUPERVISED LEARNING FRAMEWORK FOR EMPOWERING INSTANCE DISCRIMINATION IN MEDICAL IMAGING USING CONTEXT-AWARE INSTANCE …

2013/6/12

Systems, methods, and apparatuses for systematically determining an optimal approach for the computer-aided diagnosis of a pulmonary embolism

2023/3/16

SYSTEMS, METHODS, AND APPARATUSES FOR GENERATING PRE-TRAINED MODELS FOR nnU-Net THROUGH THE USE OF IMPROVED TRANSFER LEARNING TECHNIQUES

2023/3/9

Caid: Context-aware instance discrimination for self-supervised learning in medical imaging

2022/4/15

Evaluating a high-resolution urban fossil CO2 emissions inventory using eddy-covariance flux measurements and source partitioning

Authorea Preprints

2022/11/21

Interpreting medical images

2022/11/10

Zongwei Zhou
Zongwei Zhou

H-Index: 9

Jianming Liang
Jianming Liang

H-Index: 27

Systems, methods, and apparatuses for implementing transferable visual words by exploiting the semantics of anatomical patterns for self-supervised learning

2022/9/29

See List of Professors in Jianming Liang University(Arizona State University)

Co-Authors

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