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20232026
most citedDeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

89 citations · 190 across the 26 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

eess.IV2023★ 12 cited

Holistic Evaluation of GPT-4V for Biomedical Imaging

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong +47

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial gener…

cs.AI2023★ 5 cited

NoisyNN: Exploring the Impact of Information Entropy Change in Learning Systems

Xiaowei Yu, Zhe Huang, Minheng Chen +3

We investigate the impact of entropy change in deep learning systems by noise injection at different levels, including the embedding space and the image. The series of models that…

q-bio.NC2023

Robust Core-Periphery Constrained Transformer for Domain Adaptation

Xiaowei Yu, Zeyu Zhang, Dajiang Zhu +1

Unsupervised domain adaptation (UDA) aims to learn transferable representation across domains. Recently a few UDA works have successfully applied Transformer-based methods and achi…

cs.CV2023★ 3 cited

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification

Haixing Dai, Lu Zhang, Lin Zhao +9

With the popularity of deep neural networks (DNNs), model interpretability is becoming a critical concern. Many approaches have been developed to tackle the problem through post-ho…

eess.IV2023★ 13 cited

Segment Anything Model (SAM) for Radiation Oncology

Lian Zhang, Zhengliang Liu, Lu Zhang +10

In this study, we evaluate the performance of the Segment Anything Model (SAM) in clinical radiotherapy. Our results indicate that SAM's 'segment anything' mode can achieve clinica…

cs.CV2023★ 7 cited

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT

Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14

Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…

cs.CL2023★ 14 cited

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task

Zihao Wu, Lu Zhang, Chao Cao +12

Recently, ChatGPT and GPT-4 have emerged and gained immense global attention due to their unparalleled performance in language processing. Despite demonstrating impressive capabili…

cs.AI2023★ 2 cited

When Brain-inspired AI Meets AGI

Lin Zhao, Lu Zhang, Zihao Wu +11

Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. T…

cs.LG2023★ 7 cited

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers

Xiaowei Yu, Lu Zhang, Haixing Dai +6

Designing more efficient, reliable, and explainable neural network architectures is critical to studies that are based on artificial intelligence (AI) techniques. Previous studies,…

cs.CL2023★ 89 cited

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

Zhengliang Liu, Yue Huang, Xiaowei Yu +15

The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy. HIPAA (Health Insurance Port…