Alexander Shieh

According to our database, Alexander Shieh authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Weakly-Supervised Detection of Bone Lesions in CT.

Tao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, Ronald M. Summers

CoRR, 2024

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend.

McKell Woodland, Austin Castelo, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging.

McKell Woodland, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Austin Castelo, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock

CoRR, 2023

Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma.

Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Correcting class imbalances with self-training for improved universal lesion detection and tagging.

Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023