E
Eric Chang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Researcher
faculty
45 h-index
138 pubs
7,091 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Eric Chang's research focuses on the application of artificial intelligence, natural language processing, and machine learning techniques to medical data. His work includes the development of algorithms for image processing and segmentation, particularly in the field of histopathology and brain imaging.
Chang has published on topics such as large-scale image completion using generative adversarial networks and weakly supervised segmentation of histopathology images with self-attention mechanisms and transformers. He also contributes to the creation of datasets for multi-modal question answering in electronic health records, specifically integrating chest X-ray images. His scholarship metrics include an h-index of 45, with over 7,000 citations across 138 publications.
His research network includes collaborators from Arkansas State University, such as Erick P. C. Chang, with whom he has co-authored 18 publications. Chang also maintains an active laboratory website.
Metrics
- h-index: 45
- Publications: 138
- Citations: 7,091
Selected Publications
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Psoas Quartus and Femoral Nerve Branching: A Case Report and Potential Clinical Implications (2025)
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Case Study 5: Pollo Campero—More Than Chicken in Overhead Bins (2024)
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Case Study 4: QCamel—Growing and Expanding (2024)
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Case Study 6: Marfrig and the Revolution Burger (2024)
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Case Study 1: Antigua Relojería: A Lauded Centenary Watchmaking Family Business (2024)
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Case Study 2: ESOF Savvy Entrepreneurial Family Firm: From the Local Market to the International Arena (2024)
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Succession and Family Businesses Longevity (2024)
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Case Study 3: Legacy and Transition—The Case of Batik Katura in Trusmi, Indonesia (2024)
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Conflict Management in Family Businesses (2024)
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Human Resource Management in Family Businesses (2024)
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Internationalization of Family Businesses (2024)
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Innovation in Family Businesses (2024)
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Strategic Management in the Family Businesses (2024)
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Governance in the Family Businesses (2024)
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Socioemotional Wealth in Family Businesses (2024)
Collaboration Network
Top Collaborators
Yan Xu
Beihang University (CN)
6 shared publications
- Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
- Weakly supervised histopathology image segmentation with self-attention
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Integrated 3d flow-based multi-atlas brain structure segmentation
- Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
Showing 5 of 6 shared publications
Bingzheng Wei
Xiaomi (China) (CN)
4 shared publications
- Weakly supervised histopathology image segmentation with self-attention
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
- Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Kailu Li
Beihang University (CN)
3 shared publications
- Weakly supervised histopathology image segmentation with self-attention
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Maode Lai
Zhejiang University (CN)
3 shared publications
- Weakly supervised histopathology image segmentation with self-attention
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Yubo Fan
State Key Laboratory of Software Development Environment
3 shared publications
- Weakly supervised histopathology image segmentation with self-attention
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Jiang Du
3 shared publications
- Multicompartment Imaging of the Brain Using a Comprehensive MR Imaging Protocol
- Spectrally-selective and Interleaved Water Imaging and Fat Imaging (siWIFI) for Model-free Fat Quantification
- Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction
Yajun Ma
3 shared publications
- Multicompartment Imaging of the Brain Using a Comprehensive MR Imaging Protocol
- Spectrally-selective and Interleaved Water Imaging and Fat Imaging (siWIFI) for Model-free Fat Quantification
- Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction
D. C. Williams
Eon Corporation (United States) (US)
2 shared publications
- Robust ligand-protein docking using an advanced genetic algorithm
- Robust ligand-protein docking using an advanced genetic algorithm
David Kita
Eon Corporation (United States) (US)
2 shared publications
- Robust ligand-protein docking using an advanced genetic algorithm
- Robust ligand-protein docking using an advanced genetic algorithm
Douglas Pahel
Eon Corporation (United States) (US)
2 shared publications
- Robust ligand-protein docking using an advanced genetic algorithm
- Robust ligand-protein docking using an advanced genetic algorithm
Qiang Wang
Eon Corporation (United States) (US)
2 shared publications
- Robust ligand-protein docking using an advanced genetic algorithm
- Robust ligand-protein docking using an advanced genetic algorithm
Ziniu Qian
2 shared publications
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation
- Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Lei Ji
2 shared publications
- EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
- Exploring Diffusion Time-steps for Unsupervised Representation Learning
Graeme M. Bydder
2 shared publications
- Multicompartment Imaging of the Brain Using a Comprehensive MR Imaging Protocol
- Spectrally-selective and Interleaved Water Imaging and Fat Imaging (siWIFI) for Model-free Fat Quantification
Soo Hyun Shin
2 shared publications
- Spectrally-selective and Interleaved Water Imaging and Fat Imaging (siWIFI) for Model-free Fat Quantification
- Spectrally selective and interleaved water imaging and fat imaging (siWIFI) with fat peak correction
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