Ronald M. Summers
Orcid: 0000-0001-8081-7376
According to our database1,
Ronald M. Summers
authored at least 361 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
Medical Image Anal., January, 2024
Int. J. Comput. Assist. Radiol. Surg., January, 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification.
CoRR, 2024
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation.
CoRR, 2024
Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study.
CoRR, 2024
CoRR, 2024
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.
CoRR, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.
CoRR, 2024
Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study.
CoRR, 2024
2023
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision.
Comput. Medical Imaging Graph., September, 2023
Int. J. Comput. Assist. Radiol. Surg., February, 2023
Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography.
CoRR, 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
CoRR, 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning.
CoRR, 2023
Radiology data warehouses: data preparation and dissemination (Conference Presentation).
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
A Dual-Branch Network with Mixed and Self-Supervision for Medical Image Segmentation: An Application to Segment Edematous Adipose Tissue.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Correcting class imbalances with self-training for improved universal lesion detection and tagging.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Improved ascites segmentation with bladder identification using anatomical location residual U-Net.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Automated classification of intravenous contrast enhancement phase of CT scans using residual networks.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Pattern Recognit., 2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.
Medical Image Anal., 2022
CoRR, 2022
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the Applications of Medical Artificial Intelligence, 2022
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.
IEEE Trans. Medical Imaging, 2021
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.
IEEE Trans. Big Data, 2021
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Medical Image Anal., 2021
Medical Image Anal., 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine, 2020
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 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
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
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
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
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
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
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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
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
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
Inf. Retr. J., 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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
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
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
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
Medical Image Anal., 2015
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
Medical Image Anal., 2015
Medical Image Anal., 2015
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
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
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
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
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
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
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
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
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
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
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Biomed. Eng., 2013
Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model.
IEEE Trans. Biomed. Eng., 2013
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
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
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
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
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
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
Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence.
Medical Image Anal., 2012
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
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
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
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
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
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
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Biomed. Eng., 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2011
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
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
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
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
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
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
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
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
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
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
Proceedings of the International Conference on Image Processing, 2010
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
Pattern Recognit., 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
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
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
IEEE Trans. Medical Imaging, 2008
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
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
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
Proceedings of the Medical Imaging 2007: Image Processing, 2007
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
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
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
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
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
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
Int. J. Artif. Intell. Tools, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
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
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Detection of Colon Wall Outer Boundary and Segmentation of the Colon Wall Based on Level Set Methods.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Proceedings of the 16th IEEE Visualization Conference, 2005
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
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
Proceedings of the 2001 International Conference on Image Processing, 2001
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
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