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Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors

Radiology, 2020-05, Vol.295 (2), p.407-415

2020

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Patient-specific quantification of image quality: An automated method for measuring spatial resolution in clinical CT images

Medical physics (Lancaster), 2016-10, Vol.43 (10), p.5330-5338

2016

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Erratum to: Development and clinical implementation of SeedNet: A sliding‐window convolutional neural network for radioactive seed identification in MRI‐assisted radiosurgery (MARS). Magn Reson Med. 2019;81:3888‐3900

Magnetic resonance in medicine, 2022-06, Vol.87 (6), p.3024-3024

2022

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MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imaging

Radiotherapy and oncology, 2020-12, Vol.153, p.189-196

2020

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A biochemical definition of cure after brachytherapy for prostate cancer

Radiotherapy and oncology, 2020-08, Vol.149, p.64-69

2020

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Development and clinical implementation of SeedNet: A sliding‐window convolutional neural network for radioactive seed identification in MRI‐assisted radiosurgery (MARS)

Magnetic resonance in medicine, 2019-06, Vol.81 (6), p.3888-3900

2019

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Microstrip Patch Antenna Temperature Sensor

IEEE sensors journal, 2015-09, Vol.15 (9), p.5312-5319

2015

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Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy

International journal of radiation oncology, biology, physics, 2020-12, Vol.108 (5), p.1292-1303

2020

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Proton therapy for the management of localized prostate cancer: Long-term clinical outcomes at a comprehensive cancer center

Radiotherapy and oncology, 2023-11, Vol.188, p.109854-109854, Article 109854

2023

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Computer-aided segmentation on MRI for prostate radiotherapy, Part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetry

Radiotherapy and oncology, 2022-04, Vol.169, p.124-131

2022

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Synthetic generation of DSC‐MRI‐derived relative CBV maps from DCE MRI of brain tumors

Magnetic resonance in medicine, 2021-01, Vol.85 (1), p.469-479

2021

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Fully Balanced SSFP Without an Endorectal Coil for Postimplant QA of MRI-Assisted Radiosurgery (MARS) of Prostate Cancer: A Prospective Study

International journal of radiation oncology, biology, physics, 2021-02, Vol.109 (2), p.614-625

2021

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Computer-aided segmentation on MRI for prostate radiotherapy, part II: Comparing human and computer observer populations and the influence of annotator variability on algorithm variability

Radiotherapy and oncology, 2022-04, Vol.169, p.132-139

2022

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A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS)

Cancers, 2024-05, Vol.16 (10), p.1922

2024

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Uncertainty in magnetic resonance imaging-based prostate postimplant dosimetry: Results of a 10-person human observer study, and comparisons with automatic postimplant dosimetry

Brachytherapy, 2023-11, Vol.22 (6), p.822-832

2023

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PO37: Autosegmentation in the Clinic: Initial Experiences with LDR Prostate Cancer Patients from Two MRI-Based Practices

Brachytherapy, 2021-05, Vol.20 (3), p.S7-S7

Sanders, Jeremiah

2021

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PO37

Brachytherapy, 2021-05, Vol.20 (3), p.S7

Sanders, Jeremiah

2021

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PRSOR03 Presentation Time: 12:10 PM

Brachytherapy, 2021-05, Vol.20 (3), p.S4

Sanders, Jeremiah

2021

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PRSOR03 Presentation Time: 12:10 PM: Interobserver Variability of Target and OAR Delineation in MRI-Based Prostate Brachytherapy across Two Anatomical Pulse Sequences

Brachytherapy, 2021-05, Vol.20 (3), p.S4-S4

Sanders, Jeremiah

2021

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A Novel Polymer-Encapsulated Multi-Imaging Modality Fiducial Marker with Positive Signal Contrast for Image-Guided Radiation Therapy

Cancers, 2024-01, Vol.16 (3), p.625

2024

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Prospective Evaluation of Prostate and Organs at Risk Segmentation Software for MRI-based Prostate Radiation Therapy

Radiology. Artificial intelligence, 2022-03, Vol.4 (2), p.e210151-e210151

2022

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Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapy

Brachytherapy, 2018-09, Vol.17 (5), p.816-824

2018

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Automated Brain Metastases Segmentation With a Deep Dive Into False-positive Detection

Advances in radiation oncology, 2023-01, Vol.8 (1), p.101085-101085, Article 101085

2023

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Deep learning application engine (DLAE): Development and integration of deep learning algorithms in medical imaging

SoftwareX, 2019-07, Vol.10, p.100347, Article 100347

2019

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Patient‐specific quantification of image quality: An automated technique for measuring the distribution of organ Hounsfield units in clinical chest CT images

Medical physics (Lancaster), 2017-09, Vol.44 (9), p.4736-4746

2017

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Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors

Patient-specific quantification of image quality: An automated method for measuring spatial resolution in clinical CT images

Erratum to: Development and clinical implementation of SeedNet: A sliding‐window convolutional neural network for radioactive seed identification in MRI‐assisted radiosurgery (MARS). Magn Reson Med. 2019;81:3888‐3900

MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imaging

A biochemical definition of cure after brachytherapy for prostate cancer

Development and clinical implementation of SeedNet: A sliding‐window convolutional neural network for radioactive seed identification in MRI‐assisted radiosurgery (MARS)

Microstrip Patch Antenna Temperature Sensor

Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy

Proton therapy for the management of localized prostate cancer: Long-term clinical outcomes at a comprehensive cancer center

Computer-aided segmentation on MRI for prostate radiotherapy, Part I: Quantifying human interobserver variability of the prostate and organs at risk and its impact on radiation dosimetry

Synthetic generation of DSC‐MRI‐derived relative CBV maps from DCE MRI of brain tumors

Fully Balanced SSFP Without an Endorectal Coil for Postimplant QA of MRI-Assisted Radiosurgery (MARS) of Prostate Cancer: A Prospective Study

Computer-aided segmentation on MRI for prostate radiotherapy, part II: Comparing human and computer observer populations and the influence of annotator variability on algorithm variability

A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS)

Uncertainty in magnetic resonance imaging-based prostate postimplant dosimetry: Results of a 10-person human observer study, and comparisons with automatic postimplant dosimetry

PO37: Autosegmentation in the Clinic: Initial Experiences with LDR Prostate Cancer Patients from Two MRI-Based Practices

PO37

PRSOR03 Presentation Time: 12:10 PM

PRSOR03 Presentation Time: 12:10 PM: Interobserver Variability of Target and OAR Delineation in MRI-Based Prostate Brachytherapy across Two Anatomical Pulse Sequences

A Novel Polymer-Encapsulated Multi-Imaging Modality Fiducial Marker with Positive Signal Contrast for Image-Guided Radiation Therapy

Prospective Evaluation of Prostate and Organs at Risk Segmentation Software for MRI-based Prostate Radiation Therapy

Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapy

Automated Brain Metastases Segmentation With a Deep Dive Into False-positive Detection

Deep learning application engine (DLAE): Development and integration of deep learning algorithms in medical imaging

Patient‐specific quantification of image quality: An automated technique for measuring the distribution of organ Hounsfield units in clinical chest CT images

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