Search Results - "Lay, Nathan S" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Deep Learning‐Based T2‐Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates

Deep Learning‐Based T2‐Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates

by Lin, Yue, Belue, Mason J., Yilmaz, Enis C., Harmon, Stephanie A., An, Julie, Law, Yan Mee, Hazen, Lindsey, Garcia, Charisse, Merriman, Katie M., Phelps, Tim E., Lay, Nathan S., Toubaji, Antoun, Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Published in Journal of magnetic resonance imaging (01.06.2024)

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Journal Article

Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy

Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy

by Merriman, Katie M, Harmon, Stephanie A, Belue, Mason J, Yilmaz, Enis C, Blake, Zoë, Lay, Nathan S, Phelps, Tim E, Merino, Maria J, Parnes, Howard L, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris
Published in American journal of roentgenology (1976) (01.12.2023)

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The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms

The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms

by Belue, Mason J., Harmon, Stephanie A., Lay, Nathan S., Daryanani, Asha, Phelps, Tim E., Choyke, Peter L., Turkbey, Baris
Published in Journal of the American College of Radiology (01.02.2023)

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Journal Article

Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation

Deep Learning-Based Interpretable AI for Prostate T2W MRI Quality Evaluation

by Belue, Mason J, Law, Yan Mee, Marko, Jamie, Turkbey, Evrim, Malayeri, Ashkan, Yilmaz, Enis C, Lin, Yue, Johnson, Latrice, Merriman, Katie M, Lay, Nathan S, Wood, Bradford J, Pinto, Peter A, Choyke, Peter L, Harmon, Stephanie A, Turkbey, Baris
Published in Academic radiology (01.04.2024)

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Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI

Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI

by Lin, Yue, Yilmaz, Enis C, Belue, Mason J, Harmon, Stephanie A, Tetreault, Jesse, Phelps, Tim E, Merriman, Katie M, Hazen, Lindsey, Garcia, Charisse, Yang, Dong, Xu, Ziyue, Lay, Nathan S, Toubaji, Antoun, Merino, Maria J, Xu, Daguang, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris
Published in Radiology (01.05.2024)

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PI-RADS Version 2.0 Versus Version 2.1: Comparison of Prostate Cancer Gleason Grade Upgrade and Downgrade Rates From MRI-Targeted Biopsy to Radical Prostatectomy

PI-RADS Version 2.0 Versus Version 2.1: Comparison of Prostate Cancer Gleason Grade Upgrade and Downgrade Rates From MRI-Targeted Biopsy to Radical Prostatectomy

by Yilmaz, Enis C, Lin, Yue, Belue, Mason J, Harmon, Stephanie A, Phelps, Tim E, Merriman, Katie M, Hazen, Lindsey A, Garcia, Charisse, Johnson, Latrice, Lay, Nathan S, Toubaji, Antoun, Merino, Maria J, Patel, Krishnan R, Parnes, Howard L, Law, Yan Mee, Wood, Bradford J, Gurram, Sandeep, Choyke, Peter L, Pinto, Peter A, Turkbey, Baris
Published in American journal of roentgenology (1976) (01.01.2024)

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Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI

Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI

by Lin, Yue, Belue, Mason J., Yilmaz, Enis C., Law, Yan Mee, Merriman, Katie M., Phelps, Tim E., Gelikman, David G., Ozyoruk, Kutsev B., Lay, Nathan S., Merino, Maria J., Wood, Bradford J., Gurram, Sandeep, Choyke, Peter L., Harmon, Stephanie A., Pinto, Peter A., Turkbey, Baris
Published in Abdominal imaging (01.08.2024)

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Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN

Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN

by Ma, Kevin C, Mena, Esther, Lindenberg, Liza, Lay, Nathan S, Eclarinal, Phillip, Citrin, Deborah E, Pinto, Peter A, Wood, Bradford J, Dahut, William L, Gulley, James L, Madan, Ravi A, Choyke, Peter L, Turkbey, Ismail Baris, Harmon, Stephanie A
Published in Oncotarget (07.05.2024)

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Journal Article

Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study

Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study

by Belue, Mason J, Harmon, Stephanie A, Yang, Dong, An, Julie Y, Gaur, Sonia, Law, Yan Mee, Turkbey, Evrim, Xu, Ziyue, Tetreault, Jesse, Lay, Nathan S, Yilmaz, Enis C, Phelps, Tim E, Simon, Benjamin, Lindenberg, Liza, Mena, Esther, Pinto, Peter A, Bagci, Ulas, Wood, Bradford J, Citrin, Deborah E, Dahut, William L, Madan, Ravi A, Gulley, James L, Xu, Daguang, Choyke, Peter L, Turkbey, Baris
Published in Academic radiology (01.06.2024)

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Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods

Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods

by Johnson, Latrice A., Harmon, Stephanie A., Yilmaz, Enis C., Lin, Yue, Belue, Mason J., Merriman, Katie M., Lay, Nathan S., Sanford, Thomas H., Sarma, Karthik V., Arnold, Corey W., Xu, Ziyue, Roth, Holger R., Yang, Dong, Tetreault, Jesse, Xu, Daguang, Patel, Krishnan R., Gurram, Sandeep, Wood, Bradford J., Citrin, Deborah E., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris
Published in Abdominal imaging (01.05.2024)

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Journal Article

The low rate of adherence to CLAIM criteria among published Prostate MRI Artificial Intelligence algorithms

The low rate of adherence to CLAIM criteria among published Prostate MRI Artificial Intelligence algorithms

by Belue, Mason J., Harmon, Stephanie A., Lay, Nathan S., Daryanani, Asha, Phelps, Tim E., Choyke, Peter L., Turkbey, Baris
Published in Journal of the American College of Radiology (31.07.2022)

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Journal Article

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

by Greer, Matthew, McAuliffe, Matthew J, Choyke, Peter, Roth, Holger, Turkbey, Baris, Gaur, Sonia, Tsehay, Yohannes, Cheng, Ruida, Summers, Ronald M, Mertan, Francesca, Lay, Nathan S
Year of Publication 19.01.2023

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Patent

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST

by MCAULIFFE, Matthew, J, CHENG, Ruida, GREER, Matthew, TURKBEY, Baris, LAY, Nathan, S, GAUR, Sonia, MERTAN, Francesca, SUMMERS, Ronald, M, CHOYKE, Peter, ROTH, Holger, TSEHAY, Yohannes
Year of Publication 15.12.2021

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Patent

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

by Greer, Matthew, McAuliffe, Matthew J, Choyke, Peter, Roth, Holger, Turkbey, Baris, Gaur, Sonia, Tsehay, Yohannes, Cheng, Ruida, Summers, Ronald M, Mertan, Francesca, Lay, Nathan S
Year of Publication 14.12.2021

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Patent

DETEKTION AF PROSTATAKRÆFT VED MULTIPARAMETRISK MR-SCANNING MED BRUG AF TILFÆLDIG SKOV

DETEKTION AF PROSTATAKRÆFT VED MULTIPARAMETRISK MR-SCANNING MED BRUG AF TILFÆLDIG SKOV

by MCAULIFFE, Matthew, J, CHENG, Ruida, GREER, Matthew, TURKBEY, Baris, LAY, Nathan, S, GAUR, Sonia, MERTAN, Francesca, SUMMERS, Ronald, M, CHOYKE, Peter, ROTH, Holger, TSEHAY, Yohannes
Year of Publication 08.11.2021

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Patent

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST

by MCAULIFFE, Matthew, J, CHENG, Ruida, GREER, Matthew, TURKBEY, Baris, LAY, Nathan, S, GAUR, Sonia, MERTAN, Francesca, SUMMERS, Ronald, M, CHOYKE, Peter, ROTH, Holger, TSEHAY, Yohannes
Year of Publication 04.08.2021

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Patent

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING&MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING&MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

by MCAULIFFE, Matthew, J, CHENG, Ruida, GREER, Matthew, TURKBEY, Baris, LAY, Nathan, S, GAUR, Sonia, MERTAN, Francesca, SUMMERS, Ronald, M, CHOYKE, Peter, ROTH, Holger, TSEHAY, Yohannes
Year of Publication 01.01.2020

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Patent

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING & MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING & MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

by Greer, Matthew, McAuliffe, Matthew J, Choyke, Peter, Roth, Holger, Turkbey, Baris, Gaur, Sonia, Tsehay, Yohannes, Cheng, Ruida, Summers, Ronald M, Mertan, Francesca, Lay, Nathan S
Year of Publication 05.12.2019

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Patent

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

Detection of prostate cancer in multi-parametric MRI using random forest with instance weighting and MR prostate segmentation by deep learning with holistically-nested networks

by Greer, Matthew, McAuliffe, Matthew J, Choyke, Peter, Roth, Holger, Turkbey, Baris, Gaur, Sonia, Tsehay, Yohannes, Cheng, Ruida, Summers, Ronald M, Mertan, Francesca, Lay, Nathan S
Year of Publication 05.09.2019

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Patent

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING & MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING & MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS

by SUMMERS, RONALD M, TSEHAY, YOHANNES, GAUR, SONIA, LAY, NATHAN S, MERTAN, FRANCESCA, CHOYKE, PETER, TURKBEY, BARIS, MCAULIFFE, MATTHEW J, ROTH, HOLGER, GREER, MATTHEW, CHENG, RUIDA
Year of Publication 30.08.2018

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Patent