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Genotyping‐in‐Thousands by sequencing (GT‐seq): A cost effective SNP genotyping method based on custom amplicon sequencing

Molecular ecology resources, 2015-07, Vol.15 (4), p.855-867

2015

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Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

IEEE transactions on medical imaging, 2020-07, Vol.39 (7), p.2531-2540

2020

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Intra‐ and interreader reproducibility of PI‐RADSv2: A multireader study

Journal of magnetic resonance imaging, 2019-06, Vol.49 (6), p.1694-1703

2019

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A Grading System for the Assessment of Risk of Extraprostatic Extension of Prostate Cancer at Multiparametric MRI

Radiology, 2019-03, Vol.290 (3), p.709

2019

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Artificial intelligence at the intersection of pathology and radiology in prostate cancer

Diagnostic and interventional radiology (Ankara, Turkey), 2019-05, Vol.25 (3), p.183-188

2019

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Integrating Whole-Slide Imaging and MRI Data for Outcome Prediction after Prostatectomy in Localized Prostate Cancer

Radiology. Imaging cancer, 2024-05, Vol.6 (3), p.e240095

2024

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Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study

Journal of magnetic resonance imaging, 2020-11, Vol.52 (5), p.1499-1507

2020

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Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers

Radiology, 2023-05, Vol.307 (4), p.e221309-e221309

2023

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A Cascaded Deep Learning–Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging

Academic radiology, 2022-08, Vol.29 (8), p.1159-1168

2022

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A case report of multiple primary prostate tumors with differential drug sensitivity

Nature communications, 2020-02, Vol.11 (1), p.837-8, Article 837

2020

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Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules

Cancer imaging, 2019-08, Vol.19 (1), p.56-56, Article 56

2019

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Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?

Academic radiology, 2021-02, Vol.28 (2), p.199-207

2021

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Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research

Journal of medical imaging (Bellingham, Wash.), 2021-01, Vol.8 (1), p.010901-010901

2021

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Predicting Outcomes of Indeterminate Bone Lesions on 18F-DCFPyL PSMA PET/CT Scans in the Setting of High-Risk Primary or Recurrent Prostate Cancer

The Journal of nuclear medicine (1978), 2023-03, Vol.64 (3), p.395-401

2023

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Quantitative Assessment of Early [ 18 F]Sodium Fluoride Positron Emission Tomography/Computed Tomography Response to Treatment in Men With Metastatic Prostate Cancer to Bone

Journal of clinical oncology, 2017-08, Vol.35 (24), p.2829-2837

2017

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Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

American journal of roentgenology (1976), 2020-12, Vol.215 (6), p.1403

2020

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

Journal of magnetic resonance imaging, 2024-06, Vol.59 (6), p.2215-2223

2024

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Evaluating Biochemically Recurrent Prostate Cancer: Histologic Validation of 18F-DCFPyL PET/CT with Comparison to Multiparametric MRI

Radiology, 2020-09, Vol.296 (3), p.564-572

2020

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Prognostic Features of Biochemical Recurrence of Prostate Cancer Following Radical Prostatectomy Based on Multiparametric MRI and Immunohistochemistry Analysis of MRI-guided Biopsy Specimens

Radiology, 2021-06, Vol.299 (3), p.202425-623

2021

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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

Journal of the American College of Radiology, 2023-02, Vol.20 (2), p.134-145

2023

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Ipsilateral hemigland prostate biopsy may underestimate cancer burden in patients with unilateral mpMRI-visible lesions

Abdominal radiology (New York), 2023-03, Vol.48 (3), p.1079-1089

2023

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Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Diagnostic and interventional radiology (Ankara, Turkey), 2021-01, Vol.27 (1), p.20-27

2021

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

Academic radiology, 2024-04, Vol.31 (4), p.1429-1437

2024

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Sequential Prostate Magnetic Resonance Imaging in Newly Diagnosed High-risk Prostate Cancer Treated with Neoadjuvant Enzalutamide is Predictive of Therapeutic Response

Clinical cancer research, 2021-01, Vol.27 (2), p.429-437

2021

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Genotyping‐in‐Thousands by sequencing (GT‐seq): A cost effective SNP genotyping method based on custom amplicon sequencing

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Intra‐ and interreader reproducibility of PI‐RADSv2: A multireader study

A Grading System for the Assessment of Risk of Extraprostatic Extension of Prostate Cancer at Multiparametric MRI

Artificial intelligence at the intersection of pathology and radiology in prostate cancer

Integrating Whole-Slide Imaging and MRI Data for Outcome Prediction after Prostatectomy in Localized Prostate Cancer

Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study

Nascent Prostate Cancer Heterogeneity Drives Evolution and Resistance to Intense Hormonal Therapy

Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers

A Cascaded Deep Learning–Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging

A case report of multiple primary prostate tumors with differential drug sensitivity

Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules

Quality of Prostate MRI: Is the PI-RADS Standard Sufficient?

Quick guide on radiology image pre-processing for deep learning applications in prostate cancer research

Predicting Outcomes of Indeterminate Bone Lesions on 18F-DCFPyL PSMA PET/CT Scans in the Setting of High-Risk Primary or Recurrent Prostate Cancer

Quantitative Assessment of Early [ 18 F]Sodium Fluoride Positron Emission Tomography/Computed Tomography Response to Treatment in Men With Metastatic Prostate Cancer to Bone

Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

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

Evaluating Biochemically Recurrent Prostate Cancer: Histologic Validation of 18F-DCFPyL PET/CT with Comparison to Multiparametric MRI

Prognostic Features of Biochemical Recurrence of Prostate Cancer Following Radical Prostatectomy Based on Multiparametric MRI and Immunohistochemistry Analysis of MRI-guided Biopsy Specimens

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

Ipsilateral hemigland prostate biopsy may underestimate cancer burden in patients with unilateral mpMRI-visible lesions

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

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

Sequential Prostate Magnetic Resonance Imaging in Newly Diagnosed High-risk Prostate Cancer Treated with Neoadjuvant Enzalutamide is Predictive of Therapeutic Response

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