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Alvin C Silva

Showing results (61-70 of 75) with videos related to

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Annals of Hepatology|April 7, 2016
Diagnostic accuracy of magnetic resonance elastography in liver transplant recipients: A pooled analysisSiddharth Singh, Sudhakar K Venkatesh, Andrew Keaveny, et al.
Abdominal Radiology (New York)|June 19, 2017
Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panelJeanne M Horowitz, Sudhakar K Venkatesh, Richard L Ehman, et al.
Abdominal Imaging|March 2, 2015
Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterographyJoel G Fletcher, Amy K Hara, Jeff L Fidler, et al.
Abdominal Radiology (New York)|January 2, 2021
Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomicsJi Whae Choi, Rong Hu, Yijun Zhao, et al.
Nature Biomedical Engineering|April 25, 2019
Needle-shaped ultrathin piezoelectric microsystem for guided tissue targeting via mechanical sensingXinge Yu, Heling Wang, Xin Ning, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 30, 2020
Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell CarcinomaYijun Zhao, Marcello Chang, Robin Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 19, 2025
Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI DatasetDat-Thanh Nguyen, Maliha Imami, Lin-Mei Zhao, et al.
Abdominal Imaging|December 3, 2014
Magnetic resonance elastography can discriminate normal vs. abnormal liver biopsy in candidates for live liver donationJuan F Gallegos-Orozco, Alvin C Silva, Mashal J Batheja, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 16, 2020
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR ImagingIanto Lin Xi, Yijun Zhao, Robin Wang, et al.
European Radiology|June 6, 2024
Natural language processing pipeline to extract prostate cancer-related information from clinical notesHirotsugu Nakai, Garima Suman, Daniel A Adamo, et al.
Pageof 8

Showing results (61-70 of 75) with videos related to

Sort By:
Pageof 8
Annals of Hepatology|April 7, 2016
Diagnostic accuracy of magnetic resonance elastography in liver transplant recipients: A pooled analysisSiddharth Singh, Sudhakar K Venkatesh, Andrew Keaveny, et al.
Abdominal Radiology (New York)|June 19, 2017
Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panelJeanne M Horowitz, Sudhakar K Venkatesh, Richard L Ehman, et al.
Abdominal Imaging|March 2, 2015
Observer performance for adaptive, image-based denoising and filtered back projection compared to scanner-based iterative reconstruction for lower dose CT enterographyJoel G Fletcher, Amy K Hara, Jeff L Fidler, et al.
Abdominal Radiology (New York)|January 2, 2021
Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomicsJi Whae Choi, Rong Hu, Yijun Zhao, et al.
Nature Biomedical Engineering|April 25, 2019
Needle-shaped ultrathin piezoelectric microsystem for guided tissue targeting via mechanical sensingXinge Yu, Heling Wang, Xin Ning, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 30, 2020
Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell CarcinomaYijun Zhao, Marcello Chang, Robin Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 19, 2025
Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI DatasetDat-Thanh Nguyen, Maliha Imami, Lin-Mei Zhao, et al.
Abdominal Imaging|December 3, 2014
Magnetic resonance elastography can discriminate normal vs. abnormal liver biopsy in candidates for live liver donationJuan F Gallegos-Orozco, Alvin C Silva, Mashal J Batheja, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|January 16, 2020
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR ImagingIanto Lin Xi, Yijun Zhao, Robin Wang, et al.
European Radiology|June 6, 2024
Natural language processing pipeline to extract prostate cancer-related information from clinical notesHirotsugu Nakai, Garima Suman, Daniel A Adamo, et al.
Pageof 8