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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.134-144

2019

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Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018-01, Vol.11071, p.777-785

2018

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Cross‐modality (CT‐MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

Medical physics (Lancaster), 2019-10, Vol.46 (10), p.4392-4404

2019

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PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.4071-4084

2020

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Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm

Medical physics (Lancaster), 2019-10, Vol.46 (10), p.4699-4707

2019

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Creating patient‐specific digital phantoms with a longitudinal atlas for evaluating deformable CT‐CBCT registration in adaptive lung radiotherapy

Medical physics (Lancaster), 2024-02, Vol.51 (2), p.1405-1414

2024

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Deformation driven Seq2Seq longitudinal tumor and organs‐at‐risk prediction for radiotherapy

Medical physics (Lancaster), 2021-09, Vol.48 (9), p.4784-4798

2021

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Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy

Journal of applied clinical medical physics, 2023-07, Vol.24 (7), p.e13959-n/a

2023

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Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model

Medical physics (Lancaster), 2010-06, Vol.37 (6), p.2901-2909

2010

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Nature’s Pick-Up Tool, the Stark Effect Induced Gailitis Resonances and Applications

Atoms, 2020-09, Vol.8 (3), p.32

2020

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A patient-specific respiratory model of anatomical motion for radiation treatment planning

Medical physics (Lancaster), 2007-12, Vol.34 (12), p.4772-4781

2007

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Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model

Medical Physics, 2012-06, Vol.39 (6), p.3070-3079

2012

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Automated Finite-Element Analysis for Deformable Registration of Prostate Images

IEEE transactions on medical imaging, 2007-10, Vol.26 (10), p.1379-1390

2007

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Predictive Treatment Management: Incorporating a Predictive Tumor Response Model Into Robust Prospective Treatment Planning for Non-Small Cell Lung Cancer

International journal of radiation oncology, biology, physics, 2014-02, Vol.88 (2), p.446-452

2014

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Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy

Medical physics (Lancaster), 2023-02, Vol.50 (2), p.970-979

2023

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Evaluation of the tumor registration error in biopsy procedures performed under real‐time PET/CT guidance

Medical physics (Lancaster), 2017-10, Vol.44 (10), p.5089-5095

2017

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Automated planning of stereotactic spine re-irradiation using cumulative dose limits

Physics and imaging in radiation oncology, 2024-01, Vol.29, p.100547-100547, Article 100547

2024

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RMSim: controlled respiratory motion simulation on static patient scans

Physics in medicine & biology, 2023-02, Vol.68 (4), p.45009

2023

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Evaluation of tumor localization in respiration motion‐corrected cone‐beam CT: Prospective study in lung

Medical physics (Lancaster), 2014-10, Vol.41 (10), p.101918-n/a

2014

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Interactive semiautomatic contour delineation using statistical conditional random fields framework

Medical physics (Lancaster), 2012-07, Vol.39 (7), p.4547-4558

2012

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Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer

Physics and imaging in radiation oncology, 2020-01, Vol.13, p.36-43

2020

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Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer

Radiotherapy and oncology, 2022-04, Vol.169, p.57-63

2022

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Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network

Radiotherapy and oncology, 2019-02, Vol.131, p.101-107

2019

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Clinical Experience With an Offline Adaptive Radiation Therapy Head and Neck Program: Dosimetric Benefits and Opportunities for Patient Selection

International journal of radiation oncology, biology, physics, 2024-08, Vol.119 (5), p.1557-1568

2024

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Mixed Sequence Reader : A Program for Analyzing DNA Sequences with Heterozygous Base Calling

TheScientificWorld, 2012-01, Vol.2012 (2012), p.1-10

2012

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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images

Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation

Cross‐modality (CT‐MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation

Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm

Creating patient‐specific digital phantoms with a longitudinal atlas for evaluating deformable CT‐CBCT registration in adaptive lung radiotherapy

Deformation driven Seq2Seq longitudinal tumor and organs‐at‐risk prediction for radiotherapy

Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy

Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model

Nature’s Pick-Up Tool, the Stark Effect Induced Gailitis Resonances and Applications

A patient-specific respiratory model of anatomical motion for radiation treatment planning

Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model

Automated Finite-Element Analysis for Deformable Registration of Prostate Images

Predictive Treatment Management: Incorporating a Predictive Tumor Response Model Into Robust Prospective Treatment Planning for Non-Small Cell Lung Cancer

Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy

Evaluation of the tumor registration error in biopsy procedures performed under real‐time PET/CT guidance

Automated planning of stereotactic spine re-irradiation using cumulative dose limits

RMSim: controlled respiratory motion simulation on static patient scans

Evaluation of tumor localization in respiration motion‐corrected cone‐beam CT: Prospective study in lung

Interactive semiautomatic contour delineation using statistical conditional random fields framework

Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer

Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer

Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network

Clinical Experience With an Offline Adaptive Radiation Therapy Head and Neck Program: Dosimetric Benefits and Opportunities for Patient Selection

Mixed Sequence Reader : A Program for Analyzing DNA Sequences with Heterozygous Base Calling

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