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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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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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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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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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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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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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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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PO37

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

Sanders, Jeremiah

2021

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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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PRSOR03 Presentation Time: 12:10 PM

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

Sanders, Jeremiah

2021

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Proton therapy toxicity outcomes for localized prostate cancer: Long-term results at a comprehensive cancer center

Clinical and translational radiation oncology, 2024-09, Vol.48, p.100822, Article 100822

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

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

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

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

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

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

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

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

PO37

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

PRSOR03 Presentation Time: 12:10 PM

Proton therapy toxicity outcomes for localized prostate cancer: Long-term results at a comprehensive cancer center

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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