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Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer.

, , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340T. SPIE, (2017)

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Similarity based false-positive reduction for breast cancer using radiographic and pathologic imaging features., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76242G. SPIE, (2010)Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support., , , , , , , , , and 4 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095020. SPIE, (2019)Deep learning texture analysis for the assessment of trabecular bone stiffness in CT., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12468 of SPIE Proceedings, SPIE, (2023)Knowledge based optimum feature selection for lung nodule diagnosis on thin section thoracic CT., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 726036. SPIE, (2009)Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Restorable Synthesis: Average Synthetic Segmentation Converges to a Polygon Approximation of an Object Contour in Medical Images., , , and . SSIAI, page 77-80. IEEE, (2024)Decision region analysis to deconstruct the subgroup influence on AI/ML predictions., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets., , , , , and . IEEE Trans. Med. Imaging, 38 (3): 686-696 (2019)