Kuan Zhang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Atrial Fibrillation

Convolutional Neural Network

Machine Learning

Induced Pluripotent Stem Cells

Top Venues

Radiology. Artificial intelligence

This page only lists publications with an associated author ORCID identifier.

Publications

Kuan Zhang, Bardia Khosravi, Sanaz Vahdati, Bradley J Erickson
FDA Review of Radiologic AI Algorithms: Process and Challenges. Radiology 310 (1) (2024)
Kuan Zhang, Bardia Khosravi, Sanaz Vahdati, Bradley J Erickson
FDA Review of Radiologic AI Algorithms: Process and Challenges. Radiology 310 (1) (2024)
Pouria Rouzrokh, Cody C Wyles, Shyam J Kurian, Taghi Ramazanian, Jason C Cai, Qiao Huang, Kuan Zhang, Michael J Taunton, Hilal Maradit-Kremers, Bradley J Erickson
Deep Learning for Radiographic Measurement of Femoral Component Subsidence Following Total Hip Arthroplasty. Radiology. Artificial intelligence 4 (3) (2022)
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani, Mana Moassefi, Diana V Vera Garcia, Yashbir Singh, Kuan Zhang, Gian Marco Conte, Bradley J Erickson
Mitigating Bias in Radiology Machine Learning: 1. Data Handling. Radiology. Artificial intelligence 4 (5) (2022)
Shahriar Faghani, Bardia Khosravi, Kuan Zhang, Mana Moassefi, Jaidip Manikrao Jagtap, Fred Nugen, Sanaz Vahdati, Shiba P Kuanar, Seyed Moein Rassoulinejad-Mousavi, Yashbir Singh, Diana V Vera Garcia, Pouria Rouzrokh, Bradley J Erickson
Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics. Radiology. Artificial intelligence 4 (5) (2022)
Kuan Zhang, Bardia Khosravi, Sanaz Vahdati, Shahriar Faghani, Fred Nugen, Seyed Moein Rassoulinejad-Mousavi, Mana Moassefi, Jaidip Manikrao M Jagtap, Yashbir Singh, Pouria Rouzrokh, Bradley J Erickson
Mitigating Bias in Radiology Machine Learning: 2. Model Development. Radiology. Artificial intelligence 4 (5) (2022)