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

Radiodensity as a predictor: can penile and splenic Hounsfield units forecast clinical response to daily tadalafil?

放射密度作为预测指标:阴茎和脾脏的亨氏单位能否预测每日服用他达拉非的临床疗效?

Hayit, Huseyin; Yesildal, Cumhur; Yilmaz, Omer; Barac, Yahya; Bursali, Kerem; Yilmaz, Anil

Generative Artificial Intelligence to Automate Cerebral Perfusion Mapping in Acute Ischemic Stroke from Non-contrast Head Computed Tomography Images: Pilot Study

利用生成式人工智能技术,基于非增强头部CT图像自动生成急性缺血性卒中脑灌注图:初步研究

Primiano, Nicholas J; Changa, Abhinav R; Kohli, Shaun; Greenspan, Hayit; Cahan, Noa; Kummer, Benjamin R

X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification

X-ray2CTPA:利用扩散模型增强肺栓塞分类

Cahan, Noa; Klang, Eyal; Aviram, Galit; Barash, Yiftach; Konen, Eli; Giryes, Raja; Greenspan, Hayit

ProtoSAM for automated one shot medical image segmentation using foundational models

ProtoSAM 使用基础模型实现自动化单次医学图像分割

Ayzenberg, Lev; Giryes, Raja; Greenspan, Hayit

A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea

用于加速阻塞性睡眠呼吸暂停患者腹部脂肪PET/MR分割的预训练模型定制框架

Fauveau, Valentin; Patel, Heli; Prevot, Jennifer; Xu, Bolong; Cohen, Oren; Khan, Samira; Robson, Philip M; Fayad, Zahi A; Lippert, Christoph; Greenspan, Hayit; Shah, Neomi; Kundel, Vaishnavi

Neural network reconstruction of the left atrium using sparse catheter paths

利用稀疏导管路径进行左心房神经网络重建

Baram, Alon; Safran, Moshe; Noy, Tomer; Geri, Nave; Greenspan, Hayit

BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis

BrainAgeNeXt:推进多发性硬化症患者的脑年龄建模

La Rosa, Francesco; Dos Santos Silva, Jonadab; Dereskewicz, Emma; Invernizzi, Azzurra; Cahan, Noa; Galasso, Julia; Garcia, Nadia; Graney, Robin; Levy, Sarah; Verma, Gaurav; Balchandani, Priti; Reich, Daniel S; Horton, Megan; Greenspan, Hayit; Sumowski, James; Bach Cuadra, Merixtell; Beck, Erin S

Quantitative Prediction of Right Ventricular Size and Function From the ECG

基于心电图对右心室大小和功能进行定量预测

Duong, Son Q; Vaid, Akhil; My, Vy Thi Ha; Butler, Liam R; Lampert, Joshua; Pass, Robert H; Charney, Alexander W; Narula, Jagat; Khera, Rohan; Sakhuja, Ankit; Greenspan, Hayit; Gelb, Bruce D; Do, Ron; Nadkarni, Girish N

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

BrainAgeNeXt: Advancing Brain Age Modeling for Individuals with Multiple Sclerosis

BrainAgeNeXt:推进多发性硬化症患者的脑龄建模

La Rosa, Francesco; Dos Santos Silva, Jonadab; Dereskewicz, Emma; Invernizzi, Azzurra; Cahan, Noa; Galasso, Julia; Garcia, Nadia; Graney, Robin; Levy, Sarah; Verma, Gaurav; Balchandani, Priti; Reich, Daniel S; Horton, Megan; Greenspan, Hayit; Sumowski, James; Cuadra, Merixtell Bach; Beck, Erin S