Ronald M. Summers

According to our database1, Ronald M. Summers authored at least 295 papers between 1998 and 2020.

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Bibliography

2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.
CoRR, 2020

Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks.
CoRR, 2020

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature.
CoRR, 2020

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection.
CoRR, 2020

The Future of Digital Health with Federated Learning.
CoRR, 2020

Bone Suppression on Chest Radiographs With Adversarial Learning.
CoRR, 2020

Accurately identifying vertebral levels in large datasets.
CoRR, 2020

Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation.
CoRR, 2020

Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

One Click Lesion RECIST Measurement and Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

E<sup>2</sup>Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Small Bowel Segmentation with Cylindrical Topological Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Weakly Supervised Lesion Co-Segmentation on Ct Scans.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR, 2019

Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction.
CoRR, 2019

A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019

Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR, 2019

ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR, 2019

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep adversarial one-class learning for normal and abnormal chest radiograph classification.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Segmenting The Kidney On CT Scans Via Crowdsourcing.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A self-attention based deep learning method for lesion attribute detection from CT reports.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Tumor Growth Prediction Using Convolutional Networks.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.
IEEE Trans. Medical Imaging, 2018

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Medical Image Anal., 2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR, 2018

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

An analysis of robust cost functions for CNN in computer-aided diagnosis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Self-learning to detect and segment cysts in lung CT images without manual annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tracking diaphragm and chest wall movement on cine-MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Unsupervised body part regression via spatially self-ordering convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.
IEEE Trans. Medical Imaging, 2017

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.
IEEE J. Biomed. Health Informatics, 2017

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
IEEE Trans. Image Process., 2017

Medical Image Data and Datasets in the Era of Machine Learning - Whitepaper from the 2016 C-MIMI Meeting Dataset Session.
J. Digit. Imaging, 2017

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.
CoRR, 2017

Unsupervised body part regression using convolutional neural network with self-organization.
CoRR, 2017

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.
CoRR, 2017

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Personalized Pancreatic Tumor Growth Prediction via Group Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Pelvic artery calcification detection on CT scans using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Texture analysis of common renal masses in multiple MR sequences for prediction of pathology.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Text Mining Radiology Reports for Deep Learning Radiology Images.
Proceedings of the AMIA 2017, 2017

Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
IEEE Trans. Medical Imaging, 2016

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique.
IEEE Trans. Medical Imaging, 2016

Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016

Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection.
J. Digit. Imaging, 2016

Retrieval, visualization, and mining of large radiation dosage data.
Inf. Retr. J., 2016

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016

A multi-center milestone study of clinical vertebral CT segmentation.
Comput. Medical Imaging Graph., 2016

Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach.
Int. J. Comput. Assist. Radiol. Surg., 2016

Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Active appearance model and deep learning for more accurate prostate segmentation on MRI.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

CT thermometry for cone-beam CT guided ablation.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Soft Multi-organ Shape Models via Generalized PCA: A General Framework.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Improving vertebra segmentation through joint vertebra-rib atlases.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Deep convolutional networks for automated detection of posterior-element fractures on spine CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Colitis detection on abdominal CT scans by rich feature hierarchies.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Osteoporotic and neoplastic compression fracture classification on longitudinal CT.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Colitis detection on computed tomography using regional convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Segmentation label propagation using deep convolutional neural networks and dense conditional random field.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Optimizing area under the ROC curve using semi-supervised learning.
Pattern Recognit., 2015

Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.
Medical Image Anal., 2015

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.
Medical Image Anal., 2015

Computer-aided detection of exophytic renal lesions on non-contrast CT images.
Medical Image Anal., 2015

Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
Medical Image Anal., 2015

Automatic multi-resolution shape modeling of multi-organ structures.
Medical Image Anal., 2015

Deep convolutional networks for pancreas segmentation in CT imaging.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Dynamic cortex stripping for vertebra evaluation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Anatomy-specific classification of medical images using deep convolutional nets.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.
Proceedings of the Information Processing in Medical Imaging, 2015

Interleaved text/image Deep Mining on a large-scale radiology database.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT.
Medical Image Anal., 2014

Patient specific tumor growth prediction using multimodal images.
Medical Image Anal., 2014

Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications.
CoRR, 2014

Cortical shell unwrapping for vertebral body abnormality detection on computed tomography.
Comput. Medical Imaging Graph., 2014

Computer aided detection of epidural masses on computed tomography scans.
Comput. Medical Imaging Graph., 2014

Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Robust automated lymph node segmentation with random forests.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Reducing false positives of small bowel segmentation on CT scans by localizing colon regions.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Vertebral degenerative disc disease severity evaluation using random forest classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Multilevel image recognition using discriminative patches and kernel covariance descriptor.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Abdominal lymphadenopathy detection using random forest.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT.
IEEE Trans. Medical Imaging, 2013

Automatic Segmentation and Measurement of Pleural Effusions on CT.
IEEE Trans. Biomed. Eng., 2013

Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model.
IEEE Trans. Biomed. Eng., 2013

Build 4-dimensional myocardial model for dynamic CT images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Visual Phrase Learning and Its Application in Computed Tomographic Colonography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Multimodal Image Driven Patient Specific Tumor Growth Modeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Computer assisted measurement of femoral cortex thickening on radiographs.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Detection of vertebral degenerative disc disease based on cortical shell unwrapping.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Computer-aided detection of colitis on computed tomography using a visual codebook.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Tumor growth modeling based on dual phase CT and FDG-PET.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning.
IEEE Trans. Medical Imaging, 2012

Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation.
IEEE Trans. Medical Imaging, 2012

Matching 3-D Prone and Supine CT Colonography Scans Using Graphs.
IEEE Trans. Inf. Technol. Biomed., 2012

A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images.
IEEE Trans. Inf. Technol. Biomed., 2012

Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path.
IEEE Trans. Biomed. Eng., 2012

Machine learning and radiology.
Medical Image Anal., 2012

Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence.
Medical Image Anal., 2012

Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT.
Medical Image Anal., 2012

A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

Quantitative vertebral compression fracture evaluation using a height compass.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Computer-aided marginal artery detection on computed tomographic colonography.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Computer vision approach to detect colonic polyps in computed tomographic colonography.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Sclerotic rib metastases detection on routine CT images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Supine and prone CT colonography registration by matching graphs of teniae coli.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

ROC-like optimization by sample ranking: Application to CT colonography.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Automated detection of pelvic fractures from volumetric CT images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Multi-organ segmentation in abdominal CT images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Point-guided modeling and segmentation of myocardium for low dose cardiac CT images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A cross-platform and distributive database system for cumulative tumor measurement.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor.
IEEE Trans. Biomed. Eng., 2011

Automatic 3D kidney segmentation based on shape constrained GC-OAAM.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Analyses of Missing Organs in Abdominal Multi-Organ Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

Computer-Aided Polyp Detection for Laxative-Free CT Colonography.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011

Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Computer-aided teniae coli detection using height maps from computed tomographic colonography images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

3D supine and prone colon registration for computed tomographic colonography scans based on graph matching.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Computer-aided abdominal lymph node detection using contrast-enhanced CT images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Automatic colonic polyp shape determination using content-based image retrieval.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Improved 3D automatic segmentation and measurement of pleural effusions.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Detection of pelvic fractures using graph cuts and curvatures.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

2010
Reversible Projection Technique for Colon Unfolding.
IEEE Trans. Biomed. Eng., 2010

Improving polyp detection algorithms for CT colonography: Pareto front approach.
Pattern Recognit. Lett., 2010

Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets.
Pattern Recognit. Lett., 2010

Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning.
Int. J. Comput. Intell. Appl., 2010

Automated fat measurement and segmentation with intensity inhomogeneity correction.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Realistic colon simulation in CT colonography using mesh skinning.
Proceedings of the Medical Imaging 2010: Visualization, 2010

Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010

Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010

Matching colonic polyps using correlation optimized warping.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Computer-aided lymph node detection in abdominal CT images.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Prediction of polyp histology on CT colonography using content-based image retrieval.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

FEM Based 3D Tumor Growth Prediction for Kidney Tumor.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Automated measurement and segmentation of abdominal adipose tissue in MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Current concepts in computer-aided detection for CT colonography.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Graph matching based on mean field theory.
Proceedings of the International Conference on Image Processing, 2010

Automated detection of blob structures by Hessian analysis and object scale.
Proceedings of the International Conference on Image Processing, 2010

Improved method for predicting polyp location from CT colonography for optical colonoscopy.
Proceedings of the International Conference on Image Processing, 2010

2009
Employing topographical height map in colonic polyp measurement and false positive reduction.
Pattern Recognit., 2009

Renal tumor quantification and classification in contrast-enhanced abdominal CT.
Pattern Recognit., 2009

Employing anatomical knowledge in vertebral column labeling.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Statistical Location Model for Abdominal Organ Localization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Computer Aided Evaluation of Pleural Effusion Using Chest CT Images.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Centerline Registration of Prone and Supine CT Colonography Scans Based on Correlation Optimized Warping and Anatomical Landmarks.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Anatomical Variability of Organs Via Principal Factor Analysis from the Construction of an Abdominal Probabilistic Atlas.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Renal Tumor Quantification and Classification in Triple-Phase Contrast-Enhanced Abdominal CT.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT.
IEEE Trans. Medical Imaging, 2008

Vertebral surface registration using ridgelines/crestlines.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation.
Proceedings of the Medical Imaging 2008: Visualization, 2008

DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Automated matching of supine and prone colonic polyps based on PCA and SVMs.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Multi-organ automatic segmentation in 4D contrast-enhanced abdominal CT.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Detection of anatomical landmarks in human colon from computed tomographic colonography images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Automatic Correction of Level Set Based Subvoxel Precise Centerlines for Virtual Colonoscopy Using the Colon Outer Wall.
IEEE Trans. Medical Imaging, 2007

Level sets on non-planar manifolds for ridge detection on isosurfaces.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Collaborative classifiers in CT colonography CAD.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Intra-patient colon surface registration based on tæniæ coli.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Using Pareto fronts to evaluate polyp detection algorithms for CT colonography.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Detection and Segmentation of Colonic Polyps on Haustral Folds.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Computer-Aided Detection of Colonic Diverticular Disease.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

3D Multi-Scale Level Set Segmentation of Vertebrae.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

CT Colonography Computer-Aided Polyp Detection using Topographical Height Map.
Proceedings of the International Conference on Image Processing, 2007

2006
Hybrid segmentation of colon filled with air and opacified fluid for CT colonography.
IEEE Trans. Medical Imaging, 2006

Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines.
Int. J. Biomed. Imaging, 2006

An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection.
Int. J. Artif. Intell. Tools, 2006

Computer aided lytic bone metastasis detection using regular CT images.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Hybrid committee classifier for a computerized colonic polyp detection system.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automatic colonic polyp detection using multi-objective evolutionary techniques.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Automated spinal column extraction and partitioning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Automatic correction of level set based subvoxel accurate centerlines for virtual colonoscopy.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Computer aided evaluation of ankylosing spondylitis.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Wavelet method for CT colonography computer-aided polyp detection.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Asymmetric Affinity in Fuzzy Connectedness Segmentation for Oral Contrast-Enhances CT Colonography.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Teniae Coli Guided Navigation and Registration for Virtual Colonoscopy.
Proceedings of the 16th IEEE Visualization Conference, 2005

An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models.
IEEE Trans. Medical Imaging, 2004

Introduction to the special section on virtual endoscopy.
IEEE Trans. Medical Imaging, 2004

Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamics.
IEEE Trans. Medical Imaging, 2004

Analysis of kernel method for surface curvature estimation.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Computer aided polyp detection in CT colonography using an ensemble of support vector machines.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003

2002
Multi network classification scheme for detection of colonic polyps in CT colonography data sets.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Confocal volume rendering of the thorax.
Proceedings of the 2001 International Conference on Image Processing, 2001

Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions.
Proceedings of the 2001 International Conference on Image Processing, 2001

An integrated system for computer-aided diagnosis in CT colonography: work in progress.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001

2000
Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography.
IEEE Trans. Medical Imaging, 2000

1998
Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods.
Proceedings of the Medical Imaging 1998: Image Processing, 1998


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