Drew A. Torigian

Orcid: 0000-0001-8999-9735

According to our database1, Drew A. Torigian authored at least 85 papers between 2006 and 2024.

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Bibliography

2024
GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition.
Medical Image Anal., January, 2024

2023
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.
CoRR, 2023

Auto-segmentation of thoracic brachial plexuses for radiation therapy planning.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Estimating normal metabolic activity for disease quantification via PET/CT images.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

A deep-learning-based geographic attention model for body composition tissue segmentation.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

Object Localization Using Non-Euclidean Metrics.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

2022
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI.
J. Signal Process. Syst., 2022

A Minimally Interactive Method for Labeling Respiratory Phases in Free-Breathing Thoracic Dynamic MRI for Constructing 4D Images.
IEEE Trans. Biomed. Eng., 2022

Object recognition in medical images via anatomy-guided deep learning.
Medical Image Anal., 2022

Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review.
Int. J. Multim. Inf. Retr., 2022

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes.
CoRR, 2022

Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networks.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

An anatomy-based iteratively searching convolutional neural network for organ localization in CT images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Anatomy-guided deep learning for object localization in medical images.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

QdMRI: a system for a comprehensive analysis of thoracic dynamics via dynamic MRI.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Bone and bone marrow segmentation from hip 3T magnetic resonance imaging by using local salient anatomy structure to guide deep learning-based object localization and delineation.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans.
Medical Image Anal., 2021

OFx: A method of 4D image construction from free-breathing non-gated MRI slice acquisitions of the thorax via optical flux.
Medical Image Anal., 2021

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank.
J. Am. Medical Informatics Assoc., 2021

DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images.
Comput. Medical Imaging Graph., 2021

Anatomy recognition in CT images of head and neck region via precision atlases.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Lung parenchymal characterization via thoracic dynamic MRI in normal children and pediatric patients with TIS.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
LinSEM: Linearizing segmentation evaluation metrics for medical images.
Medical Image Anal., 2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020

Anatomy segmentation evaluation with sparse ground truth data.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Obtaining the potential number of object models/atlases needed in medical image analysis.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A post-acquisition standardization method for positron emission tomography images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Segmentation of 4D images via space-time neural networks.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases.
Medical Image Anal., 2019

Disease quantification on PET/CT images without explicit object delineation.
Medical Image Anal., 2019

How many models/atlases are needed as priors for capturing anatomic population variations?
Medical Image Anal., 2019

Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses.
CoRR, 2019

Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Weakly Supervised Segmentation by a Deep Geodesic Prior.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Deep Learning for Musculoskeletal Image Analysis.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Image quality and segmentation.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Virtual landmarks.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Automatic thoracic body region localization.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Interactive iterative relative fuzzy connectedness lung segmentation on thoracic 4D dynamic MR images.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Disease quantification on PET/CT images without object delineation.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Quantitative normal thoracic anatomy at CT.
Comput. Medical Imaging Graph., 2016

Fat segmentation on chest CT images via fuzzy models.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Optimal atlas construction through hierarchical image registration.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

A general approach to liver lesion segmentation in CT images.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Lymph node detection in IASLC-defined zones on PET/CT images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Automatic anatomy recognition on CT images with pathology.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Fat quantification and analysis of lung transplant patients on unenhanced chest CT images based on standardized anatomic space.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Definition and automatic anatomy recognition of lymph node zones in the pelvis on CT images.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Automatic anatomy recognition of sparse objects.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Body-wide anatomy recognition in PET/CT images.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

Interactive non-uniformity correction and intensity standardization of MR images.
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

MR image analytics to characterize upper airway architecture in children with OSAS.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

2014
Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images.
Medical Image Anal., 2014

Standardized anatomic space for abdominal fat quantification.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation.
Comput. Vis. Image Underst., 2013

Fuzzy model-based body-wide anatomy recognition in medical images.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

2012
Automatic anatomy recognition via fuzzy object models.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

2011

2010
3D automatic anatomy recognition based on iterative graph-cut-ASM.
Proceedings of the Medical Imaging 2010: Visualization, 2010

Pathology detection on medical images based in oriented active appearance models.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2009
Automatic anatomy recognition via multi-object-oriented active shape models.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

GC-ASM: synergistic integration of active shape modeling and graph-cut methods.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Computational Analysis of HRCT Images for Characterization and Differentiation of ILD and COPD.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2006
A new general method of 3D model generation for active shape image segmentation.
Proceedings of the Medical Imaging 2006: Image Processing, 2006


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