Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Zhang, Jiahan"'
Fine-tuning vision-language models (VLMs) with abundant unlabeled data recently has attracted increasing attention. Existing methods that resort to the pseudolabeling strategy would suffer from heavily incorrect hard pseudolabels when VLMs exhibit lo
Externí odkaz:
http://arxiv.org/abs/2406.10502
Autor:
Pan, Shaoyan, Chang, Chih-Wei, Peng, Junbo, Zhang, Jiahan, Qiu, Richard L. J., Wang, Tonghe, Roper, Justin, Liu, Tian, Mao, Hui, Yang, Xiaofeng
This study aims to develop a novel Cycle-guided Denoising Diffusion Probability Model (CG-DDPM) for cross-modality MRI synthesis. The CG-DDPM deploys two DDPMs that condition each other to generate synthetic images from two different MRI pulse sequen
Externí odkaz:
http://arxiv.org/abs/2305.00042
Autor:
Zhang, Jiahan, Tian, Dayong
In the case of an imbalance between positive and negative samples, hard negative mining strategies have been shown to help models learn more subtle differences between positive and negative samples, thus improving recognition performance. However, if
Externí odkaz:
http://arxiv.org/abs/2303.06124
Motivation: Medical image analysis involves tasks to assist physicians in qualitative and quantitative analysis of lesions or anatomical structures, significantly improving the accuracy and reliability of diagnosis and prognosis. Traditionally, these
Externí odkaz:
http://arxiv.org/abs/2206.14302
Autor:
Liu, Yingzi, Shen, Chenyang, Wang, Tonghe, Zhang, Jiahan, Yang, Xiaofeng, Liu, Tian, Kahn, Shannon, Shu, Hui-Kuo, Tian, Zhen
Purpose: Several inverse planning algorithms have been developed for Gamma Knife (GK) radiosurgery to determine a large number of plan parameters via solving an optimization problem, which typically consists of multiple objectives. The priorities amo
Externí odkaz:
http://arxiv.org/abs/2109.06813
Autor:
Li, Xinyi, Sheng, Yang, Zhang, Jiahan, Wang, Wentao, Yin, Fang-Fang, Wu, Qiuwen, Ge, Yaorong, Wu, Q. Jackie, Wang, Chunhao
Purpose: To develop an Artificial Intelligence (AI) agent for fully-automated rapid head and neck (H&N) IMRT plan generation without time-consuming inverse planning.$$$$ Methods: This AI agent was trained using a conditional Generative Adversarial Ne
Externí odkaz:
http://arxiv.org/abs/2009.12898
Autor:
Zhang, Jiahan, Wang, Chunhao, Sheng, Yang, Palta, Manisha, Czito, Brian, Willett, Christopher, Zhang, Jiang, Jensen, P James, Yin, Fang-Fang, Wu, Qiuwen, Ge, Yaorong, Wu, Q Jackie
Pancreas stereotactic body radiotherapy treatment planning requires planners to make sequential, time consuming interactions with the treatment planning system (TPS) to reach the optimal dose distribution. We seek to develop a reinforcement learning
Externí odkaz:
http://arxiv.org/abs/2009.07997
Autor:
Fu, Yinxin, Liu, Lu, Zhang, Jiahan, Wang, Lan, Dong, Mingyu, McClements, David Julian, Wan, Fangyun, Shen, Peiyi, Li, Qian
Publikováno v:
In International Journal of Biological Macromolecules 31 December 2023 253 Part 3
Autor:
Li, Qian, Liu, Lu, Zhang, Jiahan, Dong, Mingyu, Wang, Lan, Julian McClements, David, Fu, Yinxin, Han, Lingyu, Shen, Peiyi, Chen, Xiaoqiang
Publikováno v:
In Food Chemistry 1 June 2023 410
Autor:
Sun, Yiqi, Li, Jiean, Li, Sheng, Jiang, Yongchang, Wan, Enze, Zhang, Jiahan, Shi, Yi, Pan, Lijia
Publikováno v:
In Chip March 2023 2(1)