日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging

基于解剖学和代谢信息的扩散方法可用于低计数PET成像中的统一去噪和分割。

Xia, Menghua; Ko, Kuan-Yin; Wang, Der-Shiun; Chen, Ming-Kai; Liu, Qiong; Xie, Huidong; Guo, Liang; Ji, Wei; Ouyang, Jinsong; Bayerlein, Reimund; Spencer, Benjamin A; Li, Quanzheng; Badawi, Ramsey D; El Fakhri, Georges; Liu, Chi

Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: A Human Observer Study

基于扩散模型的便携式脑部计算机断层扫描运动校正:一项人眼观察者研究

Chen, Zhennong; Strotzer, Quirin; Lang, Min; Vejdani-Jahromi, Maryam; Yu, Baihui; Khalid, Rehab Naeem; Yoon, Siyeop; Tivnan, Matthew; Li, Quanzheng; Lev, Michael H; Gupta, Rajiv; Wu, Dufan

Large language models for bioinformatics

用于生物信息学的大型语言模型

Ruan, Wei; Lyu, Yanjun; Zhang, Jing; Cai, Jiazhang; Shu, Peng; Ge, Yang; Lu, Yao; Gao, Shang; Wang, Yue; Wang, Peilong; Zhao, Lin; Wang, Tao; Liu, Yufang; Fang, Luyang; Liu, Ziyu; Liu, Zhengliang; Li, Yiwei; Wu, Zihao; Chen, Junhao; Jiang, Hanqi; Pan, Yi; Yang, Zhenyuan; Chen, Jingyuan; Liang, Shizhe; Zhang, Wei; Ma, Terry; Dou, Yuan; Zhang, Jianli; Gong, Xinyu; Gan, Qi; Zou, Yusong; Chen, Zebang; Qian, Yuanxin; Yu, Shuo; Lu, Jin; Song, Kenan; Wang, Xianqiao; Sikora, Andrea; Li, Gang; Li, Xiang; Li, Quanzheng; Wang, Yingfeng; Zhang, Lu; Abate, Yohannes; He, Lifang; Zhong, Wenxuan; Liu, Rongjie; Huang, Chao; Liu, Wei; Shen, Ye; Ma, Ping; Zhu, Hongtu; Yan, Yajun; Zhu, Dajiang; Liu, Tianming

LeqMod: Adaptable Lesion-Quantification-Consistent Modulation for Deep Learning Low-Count PET Image Denoising

LeqMod:一种用于深度学习低计数PET图像去噪的自适应病灶量化一致性调制方法

Xia, Menghua; Xie, Huidong; Liu, Qiong; Zhou, Bo; Wang, Hanzhong; Li, Biao; Rominger, Axel; Li, Quanzheng; Badawi, Ramsey D; Shi, Kuangyu; El Fakhri, Georges; Liu, Chi

Noise2Noise Diffusion for Thin-Slice Brain CT Denoising without Clean Training Data

无需干净训练数据即可实现薄层脑部CT去噪的噪声到噪声扩散

Chen, Zhennong; Yoon, Siyeop; Tivnan, Matthew; Park, Junyoung; Li, Quanzheng; Wu, Dufan

On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report)

关于人工智能生成的核医学成像内容中的幻觉(DREAM 报告)

Xia, Menghua; Bayerlein, Reimund; Chemli, Yanis; Liu, Xiaofeng; Ouyang, Jinsong; Lin, MingDe; El Fakhri, Georges; Badawi, Ramsey D; Li, Quanzheng; Liu, Chi

Implicit Image-to-Image Schrödinger Bridge for Image Restoration.

用于图像复原的隐式图像到图像薛定谔桥

Wang Yuang, Yoon Siyeop, Jin Pengfei, Tivnan Matthew, Song Sifan, Chen Zhennong, Hu Rui, Zhang Li, Li Quanzheng, Chen Zhiqiang, Wu Dufan

Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study

基于时空自适应提示式分割模型的电影心脏磁共振分割:可行性研究

Chen, Zhennong; Kim, Sekeun; Ren, Hui; Kim, Sunghwan; Yoon, Siyeop; Li, Quanzheng; Li, Xiang

Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model

基于人工智能观察者模型的稀疏视图CT重建技术在颅内出血诊断中的任务评估

Tivnan, Matthew; Kikkert, Irene Désirée; Wu, Dufan; Yang, Kai; Wolterink, Jelmer M; Li, Quanzheng; Gupta, Rajiv

Fine-tuning open-source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncology

对开源大型语言模型进行微调以提高其在放射肿瘤学任务上的性能:一项可行性研究,旨在探讨其在放射肿瘤学中的潜在临床应用

Wang, Peilong; Liu, Zhengliang; Li, Yiwei; Holmes, Jason; Shu, Peng; Zhang, Lian; Li, Xiang; Li, Quanzheng; Laughlin, Brady S; Toesca, Diego Santos; Vargas, Carlos E; Vora, Sujay A; Patel, Samir H; Sio, Terence T; Liu, Tianming; Liu, Wei