Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review by S. J. Pawan, Joseph Rich, Jonathan Le, Ethan Yi, Timothy Triche, Amir Goldkorn, Vinay Duddalwar

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Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach by S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen

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Image Imputation with conditional generative adversarial networks captures clinically relevant imaging features on computed tomography by Joseph Rich, Jonathan Le, Ragheb Raad, Tapas Tejura, Ali Rastegarpour, Inderbir Gill, Vinay Duddalwar, Assad Oberai

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A Study on Energy Consumption in AI-Driven Medical Image Segmentation by R. Prajwal, S. J. Pawan, Shahin Nazarian, Nicholas Heller, Christopher J. Weight, Vinay Duddalwar, C.-C. Jay Kuo

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PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation by Yijing Yang, Vasileios Magoulianitis, Jiaxin Yang, Jintang Xue, Masatomo Kaneko, Giovanni Cacciamani, Andre Abreu, Vinay Duddalwar, C.-C. Jay Kuo, Inderbir S. Gill, Chrysostomos Nikias

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Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning by Yixing Wu, Alexander Shieh, Steven Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir Gill, William D. Wallace, C.-C. Jay Kuo, Vinay Duddalwar

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