Drew A. Torigian
Orcid: 0000-0001-8999-9735
According to our database1,
Drew A. Torigian
authored at least 88 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
VSmTrans: A hybrid paradigm integrating self-attention and convolution for 3D medical image segmentation.
Medical Image Anal., 2024
XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
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
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
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023
2022
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
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
Proceedings of the Medical Imaging 2022: Image Processing, 2022
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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
Medical Image Anal., 2019
How many models/atlases are needed as priors for capturing anatomic population variations?
Medical Image Anal., 2019
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
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
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
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
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
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017
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
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 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
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015
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
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, San Diego, 2014
2013
GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation.
Comput. Vis. Image Underst., 2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
2012
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012
2011
2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
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
Proceedings of the Medical Imaging 2006: Image Processing, 2006