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

Bone Appetit: Skellytour Sets the Table for Robust Skeletal Segmentation

骨骼食欲:Skellytour 为稳健的骨骼分割奠定基础

Khosravi, Bardia; Rouzrokh, Pouria

Uncover This Tech Term: Agentic Artificial Intelligence in Radiology

揭秘这个技术术语:放射学中的智能体人工智能

Faghani, Shahriar; Moassefi, Mana; Rouzrokh, Pouria; Khosravi, Bardia; Erickson, Bradley J

A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations

医学领域生成式人工智能的最新综述:核心概念、应用及当前局限性

Rouzrokh, Pouria; Khosravi, Bardia; Faghani, Shahriar; Moassefi, Mana; Shariatnia, M Moein; Rouzrokh, Parsa; Erickson, Bradley

Uncertainty-Aware Deep Learning Characterization of Knee Radiographs for Large-Scale Registry Creation

面向大规模注册库创建的膝关节X光片不确定性感知深度学习特征分析

Mulford, Kellen L; Grove, Austin F; Kaji, Elizabeth S; Rouzrokh, Pouria; Roman, Ryan D; Kremers, Mete; Maradit Kremers, Hilal; Taunton, Michael J; Wyles, Cody C

Characterizing hip joint morphology using a multitask deep learning model

利用多任务深度学习模型表征髋关节形态

Khosravi, Bardia; Bukowiec, Lainey G; Mickley, John P; Oeding, Jacob F; Rouzrokh, Pouria; Erickson, Bradley J; Sierra, Rafael J; Taunton, Michael J; Grigoriou, Emmanouil; Wyles, Cody C

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging

更正:医学影像深度学习可重复性检查清单

Moassefi, Mana; Singh, Yashbir; Conte, Gian Marco; Khosravi, Bardia; Rouzrokh, Pouria; Vahdati, Sanaz; Safdar, Nabile; Moy, Linda; Kitamura, Felipe; Gentili, Amilcare; Lakhani, Paras; Kottler, Nina; Halabi, Safwan S; Yacoub, Joseph H; Hou, Yuankai; Younis, Khaled; Erickson, Bradley J; Krupinski, Elizabeth; Faghani, Shahriar

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models

RIDGE:医学图像分割模型的可重复性、完整性、可靠性、通用性和效率评估

Maleki, Farhad; Moy, Linda; Forghani, Reza; Ghosh, Tapotosh; Ovens, Katie; Langer, Steve; Rouzrokh, Pouria; Khosravi, Bardia; Ganjizadeh, Ali; Warren, Daniel; Daneshjou, Roxana; Moassefi, Mana; Avval, Atlas Haddadi; Sotardi, Susan; Tenenholtz, Neil; Kitamura, Felipe; Kline, Timothy

Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI

全自动深度学习模型用于在MRI图像上检测具有临床意义的前列腺癌

Cai, Jason C; Nakai, Hirotsugu; Kuanar, Shiba; Froemming, Adam T; Bolan, Candice W; Kawashima, Akira; Takahashi, Hiroaki; Mynderse, Lance A; Dora, Chandler D; Humphreys, Mitchell R; Korfiatis, Panagiotis; Rouzrokh, Pouria; Bratt, Alexander K; Conte, Gian Marco; Erickson, Bradley J; Takahashi, Naoki

Synthetically enhanced: unveiling synthetic data's potential in medical imaging research

合成增强:揭示合成数据在医学影像研究中的潜力

Khosravi, Bardia; Li, Frank; Dapamede, Theo; Rouzrokh, Pouria; Gamble, Cooper U; Trivedi, Hari M; Wyles, Cody C; Sellergren, Andrew B; Purkayastha, Saptarshi; Erickson, Bradley J; Gichoya, Judy W

A Multi-View Deep Learning Model for Thyroid Nodules Detection and Characterization in Ultrasound Imaging

基于多视角深度学习的甲状腺结节超声成像检测与表征模型

Vahdati, Sanaz; Khosravi, Bardia; Robinson, Kathryn A; Rouzrokh, Pouria; Moassefi, Mana; Akkus, Zeynettin; Erickson, Bradley J