Search Results for author: Jiajin Zhang

Found 12 papers, 9 papers with code

Chest X-ray Foundation Model with Global and Local Representations Integration

no code implementations7 Feb 2025 Zefan Yang, Xuanang Xu, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Our experimental results show that CheXFound outperforms state-of-the-art models in classifying 40 disease findings across different prevalence levels on the CXR-LT 24 dataset and exhibits superior label efficiency on downstream tasks with limited training data.

Mortality Prediction

Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT

no code implementations8 Jul 2024 Xinrui Song, Jiajin Zhang, Pingkun Yan, Juergen Hahn, Uwe Kruger, Hisham Mohamed, Ge Wang

The integration of artificial intelligence (AI) chatbots into higher education marks a shift towards a new generation of pedagogical tools, mirroring the arrival of milestones like the internet.

Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba

1 code implementation28 May 2024 Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

Besides, BI-Mamba achieves promising performance compared with previous state of the art in CT, unraveling the potential of chest X-ray for CVD risk prediction.

Computed Tomography (CT) Mamba

Disease-informed Adaptation of Vision-Language Models

1 code implementation24 May 2024 Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan

In medical image analysis, the expertise scarcity and the high cost of data annotation limits the development of large artificial intelligence models.

Medical Image Analysis Representation Learning +1

Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation

1 code implementation3 Sep 2023 Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan

To accomplish this challenging task, first, a spectral sensitivity map is introduced to characterize the generalization weaknesses of models in the frequency domain.

Unsupervised Domain Adaptation

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"

1 code implementation2 Feb 2023 Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

In the first step, we train different sub-predictors on different types of available low-fidelity information to extract beneficial knowledge as low-fidelity experts.

Neural Architecture Search

Regression Metric Loss: Learning a Semantic Representation Space for Medical Images

1 code implementation12 Jul 2022 Hanqing Chao, Jiajin Zhang, Pingkun Yan

Regression plays an essential role in many medical imaging applications for estimating various clinical risk or measurement scores.

Image Classification Medical Image Classification +1

Task-Oriented Low-Dose CT Image Denoising

1 code implementation25 Mar 2021 Jiajin Zhang, Hanqing Chao, Xuanang Xu, Chuang Niu, Ge Wang, Pingkun Yan

The extensive use of medical CT has raised a public concern over the radiation dose to the patient.

Image Denoising Medical Image Analysis

Robustified Domain Adaptation

no code implementations18 Nov 2020 Jiajin Zhang, Hanqing Chao, Pingkun Yan

Unsupervised domain adaptation (UDA) is widely used to transfer knowledge from a labeled source domain to an unlabeled target domain with different data distribution.

Adversarial Robustness Unsupervised Domain Adaptation

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