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

Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis

评估大型语言模型在膀胱癌预后临床数据提取中的可靠性

Sun, Di; Hadjiiski, Lubomir; Bruno, Grace; Gormley, John; Chan, Heang-Ping; Caoili, Elaine M; Cohan, Richard H; Alva, Ajjai; Mihalcea, Rada; Zhou, Chuan; Gulani, Vikas

Enhancing Early Lung Cancer Diagnosis: Predicting Lung Nodule Progression in Follow-Up Low-Dose CT Scan with Deep Generative Model

利用深度生成模型提高肺癌早期诊断率:预测随访低剂量CT扫描中肺结节的进展

Wang, Yifan; Zhou, Chuan; Ying, Lei; Chan, Heang-Ping; Lee, Elizabeth; Chughtai, Aamer; Hadjiiski, Lubomir M; Kazerooni, Ella A

Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis

利用多模态信息进行结果预测:整合大型语言模型提取的临床信息和图像分析

Sun, Di; Hadjiiski, Lubomir; Gormley, John; Chan, Heang-Ping; Caoili, Elaine; Cohan, Richard; Alva, Ajjai; Bruno, Grace; Mihalcea, Rada; Zhou, Chuan; Gulani, Vikas

Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening

利用基于放射组学的强化学习中的连续低剂量CT扫描来提高基线筛查中肺癌的早期诊断率

Wang, Yifan; Zhou, Chuan; Ying, Lei; Lee, Elizabeth; Chan, Heang-Ping; Chughtai, Aamer; Hadjiiski, Lubomir M; Kazerooni, Ella A

X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis

基于生成扩散的X射线源运动模糊建模与去模糊技术在数字乳腺断层合成中的应用

Gao, Mingjie; Fessler, Jeffrey A; Chan, Heang-Ping

Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data

基于多机构数据,人工智能模型在新冠肺炎患者胸部X光片中严重肺部感染的检测:

Sobiecki, André; Hadjiiski, Lubomir M; Chan, Heang-Ping; Samala, Ravi K; Zhou, Chuan; Stojanovska, Jadranka; Agarwal, Prachi P

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

人工智能在医学领域的应用:通过质量保证、质量控制和验收测试降低风险并最大化效益

Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; Chen, Quan; Vergara, Daniel; Greenspan, Hayit; Petrick, Nicholas; Sahiner, Berkman; Huo, Zhimin; Summers, Ronald M; Cha, Kenny H; Tourassi, Georgia; Deserno, Thomas M; Grizzard, Kevin T; Näppi, Janne J; Yoshida, Hiroyuki; Regge, Daniele; Mazurchuk, Richard; Suzuki, Kenji; Morra, Lia; Huisman, Henkjan; Armato, Samuel G 3rd; Hadjiiski, Lubomir

AI and machine learning in medical imaging: key points from development to translation

人工智能和机器学习在医学影像中的应用:从研发到转化应用的关键点

Samala, Ravi K; Drukker, Karen; Shukla-Dave, Amita; Chan, Heang-Ping; Sahiner, Berkman; Petrick, Nicholas; Greenspan, Hayit; Mahmood, Usman; Summers, Ronald M; Tourassi, Georgia; Deserno, Thomas M; Regge, Daniele; Näppi, Janne J; Yoshida, Hiroyuki; Huo, Zhimin; Chen, Quan; Vergara, Daniel; Cha, Kenny H; Mazurchuk, Richard; Grizzard, Kevin T; Huisman, Henkjan; Morra, Lia; Suzuki, Kenji; Armato, Samuel G 3rd; Hadjiiski, Lubomir

Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

基于临床、放射组学和深度学习描述符的膀胱癌患者膀胱切除术后生存预测

Sun, Di; Hadjiiski, Lubomir; Gormley, John; Chan, Heang-Ping; Caoili, Elaine M; Cohan, Richard H; Alva, Ajjai; Gulani, Vikas; Zhou, Chuan

Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach

基于模型的深度卷积神经网络正则化重建方法用于数字乳腺断层合成,并采用基于任务的卷积神经网络图像评估方法

Gao, Mingjie; Fessler, Jeffrey A; Chan, Heang-Ping