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Alexander Shieh

Showing results (1-10 of 8) with videos related to

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Proceedings of Spie--The International Society for Optical Engineering|July 8, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Arxiv|March 26, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Arxiv|July 30, 2025
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and TaggingAlexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Journal of Imaging|June 25, 2025
Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green LearningYixing Wu, Alexander Shieh, Steven Cen, et al.
Oncology|September 12, 2023
Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell CarcinomaAlexander Shieh, Steven Y Cen, Bino A Varghese, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 30, 2025
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendMcKell Woodland, Austin Castelo, Mais Al Taie, et al.
Radiology. Imaging Cancer|May 2, 2025
Quantitative Ablation Confirmation Methods in Percutaneous Thermal Ablation of Malignant Liver Tumors: Technical Insights, Clinical Evidence, and Future OutlookIwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, et al.
The British Journal of Surgery|August 30, 2024
Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentationIwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of Spie--The International Society for Optical Engineering|July 8, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Arxiv|March 26, 2024
Weakly-Supervised Detection of Bone Lesions in CTTao Sheng, Tejas Sudharshan Mathai, Alexander Shieh, et al.
Arxiv|July 30, 2025
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and TaggingAlexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, et al.
Journal of Imaging|June 25, 2025
Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green LearningYixing Wu, Alexander Shieh, Steven Cen, et al.
Oncology|September 12, 2023
Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell CarcinomaAlexander Shieh, Steven Y Cen, Bino A Varghese, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 30, 2025
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendMcKell Woodland, Austin Castelo, Mais Al Taie, et al.
Radiology. Imaging Cancer|May 2, 2025
Quantitative Ablation Confirmation Methods in Percutaneous Thermal Ablation of Malignant Liver Tumors: Technical Insights, Clinical Evidence, and Future OutlookIwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, et al.
The British Journal of Surgery|August 30, 2024
Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentationIwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, et al.
Pageof 1