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Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment

International journal of radiation oncology, biology, physics, 2016-04, Vol.94 (5), p.1121-1128

2016

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Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation

Radiology, 2019-12, Vol.293 (3), p.676-684

2019

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Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics

Scientific reports, 2024-02, Vol.14 (1), p.3758-3758, Article 3758

2024

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A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis

PloS one, 2015-05, Vol.10 (5), p.e0126817-e0126817

2015

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Eye tracking in digital pathology: A comprehensive literature review

Journal of pathology informatics, 2024-12, Vol.15, p.100383, Article 100383

2024

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Predicting stereotactic radiosurgery outcomes with multi-observer qualitative appearance labelling versus MRI radiomics

Scientific reports, 2023-11, Vol.13 (1), p.20977-20977, Article 20977

2023

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Performance sensitivity analysis of brain metastasis stereotactic radiosurgery outcome prediction using MRI radiomics

Scientific reports, 2022-12, Vol.12 (1), p.20975-20975, Article 20975

2022

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Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

Medical physics (Lancaster), 2014-03, Vol.41 (3), p.033502-n/a

2014

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Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion

International journal of radiation oncology, biology, physics, 2016-09, Vol.96 (1), p.188-196

2016

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Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinoma

Journal of medical imaging (Bellingham, Wash.), 2023-01, Vol.10 (1), p.017502

2023

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A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status

Frontiers in physiology, 2022-12, Vol.13, p.1071813-1071813

2022

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Application of a novel index for understanding vascular health following pharmacological intervention in a pre-clinical model of metabolic disease

Frontiers in pharmacology, 2023-01, Vol.14, p.1104568-1104568

2023

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Magnetic resonance imaging‐targeted, 3D transrectal ultrasound‐guided fusion biopsy for prostate cancer: Quantifying the impact of needle delivery error on diagnosis

Medical physics (Lancaster), 2014-07, Vol.41 (7), p.073504-n/a

2014

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In Reply to Sun et al

International journal of radiation oncology, biology, physics, 2016-08, Vol.95 (5), p.1545-1546

2016

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Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

IEEE transactions on medical imaging, 2013-10, Vol.32 (10), p.1804-1818

2013

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Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation

Physics and imaging in radiation oncology, 2021-07, Vol.19, p.102-107

2021

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Ion Binding Properties of a Naturally Occurring Metalloantibody

Antibodies (Basel), 2020-04, Vol.9 (2), p.10

2020

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Prostate cancer classification using radiomics and machine learning on mp-MRI validated using co-registered histology

European journal of radiology, 2022-11, Vol.156, p.110494, Article 110494

2022

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Regulation of Skeletal Muscle Resistance Arteriolar Tone: Integration of Multiple Mechanisms

Journal of vascular research, 2023-12, Vol.60 (5-6), p.245-272

2023

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Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens

Scientific reports, 2020-06, Vol.10 (1), p.9911-9911, Article 9911

2020

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The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Pruning

IEEE transactions on pattern analysis and machine intelligence, 2010-06, Vol.32 (6), p.1084-1096

2010

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Regulation of Skeletal Muscle Resistance Arteriolar Tone: Temporal Variability in Vascular Responses

Journal of vascular research, 2024-10, p.1-29

2024

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Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?

British journal of radiology, 2016-09, Vol.89 (1065), p.20160113-20160113

2016

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A comparison of prostate tumor targeting strategies using magnetic resonance imaging‐targeted, transrectal ultrasound‐guided fusion biopsy

Medical physics (Lancaster), 2018-03, Vol.45 (3), p.1018-1028

2018

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Arteriolar dysgenesis in ischemic-regenerating skeletal muscle revealed by automated micromorphometry, computational modeling, and perfusion analysis

American journal of physiology. Heart and circulatory physiology, 2022-07, Vol.323 (1), p.H38-H48

2022

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Detection of Local Cancer Recurrence After Stereotactic Ablative Radiation Therapy for Lung Cancer: Physician Performance Versus Radiomic Assessment

Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation

Distinguishing recurrence from radiation-induced lung injury at the time of RECIST progressive disease on post-SABR CT scans using radiomics

A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis

Eye tracking in digital pathology: A comprehensive literature review

Predicting stereotactic radiosurgery outcomes with multi-observer qualitative appearance labelling versus MRI radiomics

Performance sensitivity analysis of brain metastasis stereotactic radiosurgery outcome prediction using MRI radiomics

Early prediction of tumor recurrence based on CT texture changes after stereotactic ablative radiotherapy (SABR) for lung cancer

Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion

Using deep learning to predict tumor mutational burden from scans of H&E-stained multicenter slides of lung squamous cell carcinoma

A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status

Application of a novel index for understanding vascular health following pharmacological intervention in a pre-clinical model of metabolic disease

Magnetic resonance imaging‐targeted, 3D transrectal ultrasound‐guided fusion biopsy for prostate cancer: Quantifying the impact of needle delivery error on diagnosis

In Reply to Sun et al

Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation

Ion Binding Properties of a Naturally Occurring Metalloantibody

Prostate cancer classification using radiomics and machine learning on mp-MRI validated using co-registered histology

Regulation of Skeletal Muscle Resistance Arteriolar Tone: Integration of Multiple Mechanisms

Histologic tissue components provide major cues for machine learning-based prostate cancer detection and grading on prostatectomy specimens

The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Pruning

Regulation of Skeletal Muscle Resistance Arteriolar Tone: Temporal Variability in Vascular Responses

Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?

A comparison of prostate tumor targeting strategies using magnetic resonance imaging‐targeted, transrectal ultrasound‐guided fusion biopsy

Arteriolar dysgenesis in ischemic-regenerating skeletal muscle revealed by automated micromorphometry, computational modeling, and perfusion analysis

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