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Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography

IEEE transactions on medical imaging, 2022-01, Vol.41 (1), p.3-13

2022

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Fast and automated biomarker detection in breath samples with machine learning

PloS one, 2022-04, Vol.17 (4), p.e0265399-e0265399

2022

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VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography/Mass Spectrometry Data

Analytical chemistry (Washington), 2020-02, Vol.92 (4), p.2937-2945

2020

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From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community

Radiotherapy and oncology, 2020-12, Vol.153, p.43-54

2020

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Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients

Radiotherapy and oncology, 2023-06, Vol.183, p.109593-109593, Article 109593

2023

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EPID‐based in vivo dosimetry using Dosimetry Check™: Overview and clinical experience in a 5‐yr study including breast, lung, prostate, and head and neck cancer patients

Journal of applied clinical medical physics, 2019-01, Vol.20 (1), p.6-16

2019

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50 years of radiotherapy research: Evolution, trends and lessons for the future

Radiotherapy and oncology, 2021-12, Vol.165, p.75-86

2021

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Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion

Physics in medicine & biology, 2018-11, Vol.63 (22), p.225001-225001

2018

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Response to Letter to the Editor of Radiotherapy and Oncology regarding the paper entitled “50 years of radiotherapy research: Evolution, trends and lessons for the future“ by Berger et al. (December 2021, volume 165)

Radiotherapy and oncology, 2022-07, Vol.172, p.151-152

2022

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Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source

Physics in medicine & biology, 2017-11, Vol.62 (22), p.8739-8762, Article 8739

2017

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Sub-regional analysis of the parotid glands: model development for predicting late xerostomia with radiomics features in head and neck cancer patients

Acta oncologica, 2023-02, Vol.62 (2), p.166-173

2023

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Clinical implementation of real time motion management for prostate SBRT: A radiation therapist’s perspective

Technical innovations & patient support in radiation oncology, 2024-09, Vol.31, p.100267, Article 100267

2024

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Measuring the effects of fractionated radiation therapy in a 3D prostate cancer model system using SERS nanosensors

Analyst (London), 2016-08, Vol.141 (17), p.556-561

2016

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Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features

Physics and imaging in radiation oncology, 2022-10, Vol.24, p.95-101

2022

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Targeted SERS nanosensors measure physicochemical gradients and free energy changes in live 3D tumor spheroids

Nanoscale, 2016-09, Vol.8 (37), p.16710-16718

2016

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Application of Texture Analysis to Study Small Vessel Disease and Blood-Brain Barrier Integrity

Frontiers in neurology, 2017-07, Vol.8, p.327-327

2017

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Peppermint protocol: first results for gas chromatography-ion mobility spectrometry

Journal of breath research, 2022-07, Vol.16 (3), p.36004

2022

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Breath markers for therapeutic radiation

Journal of breath research, 2021-01, Vol.15 (1), p.016004

2021

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Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia

Physics and imaging in radiation oncology, 2023-01, Vol.25, p.100404, Article 100404

2023

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Gender-related and geographic trends in interactions between radiotherapy professionals on Twitter

Physics and imaging in radiation oncology, 2022-10, Vol.24, p.129-135

2022

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Field correction factors for a PTW‐31016 Pinpoint ionization chamber for both flattened and unflattened beams. Study of the main sources of uncertainties

Medical physics (Lancaster), 2017-05, Vol.44 (5), p.1930-1938

2017

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Correction: Measuring the effects of fractionated radiation therapy in a 3D prostate cancer model system using SERS nanosensors

Analyst (London), 2016-10, Vol.141 (2), p.59-59

2016

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Identifying the dominant prostate cancer focal lesion using image analysis and planning of a simultaneous integrated stereotactic boost

Acta oncologica, 2015-10, Vol.54 (9), p.1543-1550

2015

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Invited review—image registration in veterinary radiation oncology: indications, implications, and future advances

Veterinary radiology & ultrasound, 2016-03, Vol.57 (2), p.113-123

2016

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145: Radiomics with accumulated delivered dose to enhance rectal toxicity prediction in prostate cancer

Radiotherapy and oncology, 2024-05, Vol.194, p.S4955-S4959

2024

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Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography

Fast and automated biomarker detection in breath samples with machine learning

VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography/Mass Spectrometry Data

From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community

Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients

EPID‐based in vivo dosimetry using Dosimetry Check™: Overview and clinical experience in a 5‐yr study including breast, lung, prostate, and head and neck cancer patients

50 years of radiotherapy research: Evolution, trends and lessons for the future

Quantitative cone-beam CT reconstruction with polyenergetic scatter model fusion

Response to Letter to the Editor of Radiotherapy and Oncology regarding the paper entitled “50 years of radiotherapy research: Evolution, trends and lessons for the future“ by Berger et al. (December 2021, volume 165)

Polyquant CT: direct electron and mass density reconstruction from a single polyenergetic source

Sub-regional analysis of the parotid glands: model development for predicting late xerostomia with radiomics features in head and neck cancer patients

Clinical implementation of real time motion management for prostate SBRT: A radiation therapist’s perspective

Measuring the effects of fractionated radiation therapy in a 3D prostate cancer model system using SERS nanosensors

Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features

Targeted SERS nanosensors measure physicochemical gradients and free energy changes in live 3D tumor spheroids

Application of Texture Analysis to Study Small Vessel Disease and Blood-Brain Barrier Integrity

Peppermint protocol: first results for gas chromatography-ion mobility spectrometry

Breath markers for therapeutic radiation

Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia

Gender-related and geographic trends in interactions between radiotherapy professionals on Twitter

Field correction factors for a PTW‐31016 Pinpoint ionization chamber for both flattened and unflattened beams. Study of the main sources of uncertainties

Correction: Measuring the effects of fractionated radiation therapy in a 3D prostate cancer model system using SERS nanosensors

Identifying the dominant prostate cancer focal lesion using image analysis and planning of a simultaneous integrated stereotactic boost

Invited review—image registration in veterinary radiation oncology: indications, implications, and future advances

145: Radiomics with accumulated delivered dose to enhance rectal toxicity prediction in prostate cancer

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