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PET/MR imaging: technical aspects and potential clinical applications

Radiology, 2013-04, Vol.267 (1), p.26

2013

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Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

Medical image analysis, 2013-12, Vol.17 (8), p.929-945

2013

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Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: A novel approach

Medical physics (Lancaster), 2014-06, Vol.41 (6), p.063501-n/a

2014

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Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates

PloS one, 2017-01, Vol.12 (1), p.e0168932-e0168932

2017

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MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome

PloS one, 2016-08, Vol.11 (8), p.e0159327-e0159327

2016

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GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation

Computer vision and image understanding, 2013-05, Vol.117 (5), p.513-524

2013

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Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration

Medical physics (Lancaster), 2016-03, Vol.43 (3), p.1487-1500

2016

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Post-acquisition standardization of positron emission tomography images

Frontiers in nuclear medicine, 2023, Vol.3

2023

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MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy

Diagnostics (Basel), 2023-09, Vol.13 (18), p.2913

2023

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Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

IEEE transactions on image processing, 2012-04, Vol.21 (4), p.2035-2046

2012

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Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends

Radiographics, 2015-07, Vol.35 (4), p.1056

2015

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Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation

Computer vision and image understanding, 2000-02, Vol.77 (2), p.145-174

2000

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A Generic Approach to Pathological Lung Segmentation

IEEE transactions on medical imaging, 2014-12, Vol.33 (12), p.2293-2310

2014

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DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images

Computerized medical imaging and graphics, 2021-03, Vol.88, p.101851-101851, Article 101851

2021

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Thoracic Visceral Adipose Tissue Area and Pulmonary Hypertension in Lung Transplant Candidates. The Lung Transplant Body Composition Study

Annals of the American Thoracic Society, 2020-11, Vol.17 (11), p.1393-1400

2020

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Prediction of lymphoma response to CAR T cells by deep learning-based image analysis

PloS one, 2023-07, Vol.18 (7), p.e0282573-e0282573

2023

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Radiomics-guided therapy for bladder cancer: Using an optimal biomarker approach to determine extent of bladder cancer invasion from t2-weighted magnetic resonance images

Advances in radiation oncology, 2018-07, Vol.3 (3), p.331-338

2018

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Subject-specific models of the hindfoot reveal a relationship between morphology and passive mechanical properties

Journal of biomechanics, 2008-01, Vol.41 (6), p.1341-1349

2008

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SOMA: Subject‐, object‐, and modality‐adapted precision atlas approach for automatic anatomy recognition and delineation in medical images

Medical physics (Lancaster), 2021-12, Vol.48 (12), p.7806-7825

2021

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LinSEM: Linearizing segmentation evaluation metrics for medical images

Medical image analysis, 2020-02, Vol.60, p.101601-101601, Article 101601

2020

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AAR‐LN‐DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation

Medical physics (Lancaster), 2020-08, Vol.47 (8), p.3467-3484

2020

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GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition

Medical image analysis, 2024-01, Vol.91, p.102987-102987, Article 102987

2024

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Object recognition in medical images via anatomy-guided deep learning

Medical image analysis, 2022-10, Vol.81, p.102527-102527, Article 102527

2022

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ABCNet: A new efficient 3D dense‐structure network for segmentation and analysis of body tissue composition on body‐torso‐wide CT images

Medical physics (Lancaster), 2020-07, Vol.47 (7), p.2986-2999

2020

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PET/MR imaging: technical aspects and potential clinical applications

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: A novel approach

Chest Fat Quantification via CT Based on Standardized Anatomy Space in Adult Lung Transplant Candidates

MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome

GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration

Post-acquisition standardization of positron emission tomography images

MRI-Based Radiomics Analysis of Levator Ani Muscle for Predicting Urine Incontinence after Robot-Assisted Radical Prostatectomy

Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends

Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation

A Generic Approach to Pathological Lung Segmentation

DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images

Thoracic Visceral Adipose Tissue Area and Pulmonary Hypertension in Lung Transplant Candidates. The Lung Transplant Body Composition Study

Prediction of lymphoma response to CAR T cells by deep learning-based image analysis

Radiomics-guided therapy for bladder cancer: Using an optimal biomarker approach to determine extent of bladder cancer invasion from t2-weighted magnetic resonance images

Subject-specific models of the hindfoot reveal a relationship between morphology and passive mechanical properties

SOMA: Subject‐, object‐, and modality‐adapted precision atlas approach for automatic anatomy recognition and delineation in medical images

A Study of the Feasibility of FDG-PET/CT to Systematically Detect and Quantify Differential Metabolic Effects of Chronic Tobacco Use in Organs of the Whole Body—A Prospective Pilot Study

LinSEM: Linearizing segmentation evaluation metrics for medical images

AAR‐LN‐DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation

GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition

Object recognition in medical images via anatomy-guided deep learning

ABCNet: A new efficient 3D dense‐structure network for segmentation and analysis of body tissue composition on body‐torso‐wide CT images

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