Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Reinforcement Exemplar Learning for Annotation Refinement.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

Feature Library: A Benchmark for Cervical Lesion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Stabilized Medical Image Attacks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

From Rain Generation to Rain Removal.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Calibrated RGB-D Salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Uncertainty-aware domain alignment for anatomical structure segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System.

[BibT_eX]

[DOI]

CoRR, 2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.

[BibT_eX]

[DOI]

CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Quality Control of Neuron Reconstruction Based on Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Instance-Aware Self-supervised Learning for Nuclei Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MI<sup>2</sup>GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Learning Crisp Edge Detector Using Logical Refinement Network.

[BibT_eX]

[DOI]

Luyan Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Superpixel-Guided Label Softening for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.

[BibT_eX]

[DOI]

Lijun Gong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Multi-Task Self-Supervised Learning Framework for Scopy Images.

[BibT_eX]

[DOI]

Yuexiang Li

Jiawei Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Image Clustering with Category-Style Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Adversarial Network for Deep Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Industry Evaluation of Embedding-based Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Generative Adversarial Networks for Video-to-Video Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence.

[BibT_eX]

[DOI]

CoRR, 2019

A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage.

[BibT_eX]

[DOI]

Yifan Hu

CoRR, 2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.

[BibT_eX]

[DOI]

CoRR, 2019

TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos.

[BibT_eX]

[DOI]

Sihong Chen

CoRR, 2019

Med3D: Transfer Learning for 3D Medical Image Analysis.

[BibT_eX]

[DOI]

Sihong Chen

CoRR, 2019

Combo loss: Handling input and output imbalance in multi-organ segmentation.

[BibT_eX]

[DOI]

Saeid Asgari Taghanaki

Comput. Medical Imaging Graph., 2019

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Select, Attend, and Transfer: Light, Learnable Skip Connections.

[BibT_eX]

[DOI]

Saeid Asgari Taghanaki

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Seg4Reg Networks for Automated Spinal Curvature Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.

[BibT_eX]

[DOI]

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets.

[BibT_eX]

[DOI]

CoRR, 2018

Select, Attend, and Transfer: Light, Learnable Skip Connections.

[BibT_eX]

[DOI]

Saeid Asgari Taghanaki

CoRR, 2018

Deep similarity learning for multimodal medical images.

[BibT_eX]

[DOI]

Xi Cheng

Li Zhang

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes.

[BibT_eX]

[DOI]

Pengyue Zhang

Fusheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.

[BibT_eX]

[DOI]

Zizhao Zhang

Lin Yang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Face Completion with Semantic Knowledge and Collaborative Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.

[BibT_eX]

[DOI]

CoRR, 2017

Self supervised deep representation learning for fine-grained body part recognition.

[BibT_eX]

[DOI]

Pengyue Zhang

Fusheng Wang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Real-time 2D/3D registration via CNN regression.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.

[BibT_eX]

[DOI]

Qian Wang

Le Lu

Dijia Wu

Noha Youssry El-Zehiry

Dinggang Shen

IEEE Trans. Medical Imaging, 2015

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Cross-modality medical image detection and segmentation by transfer learning of shapel priors.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Component-composition based heart isolation for 3D volume visualization of coronary arteries.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2014: Image Processing, 2014

Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Precise Lumen Segmentation in Coronary Computed Tomography Angiography.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection.

[BibT_eX]

[DOI]

Alexander G. Schwing

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical Structures

[BibT_eX]

[DOI]

Springer, ISBN: 978-1-4939-0600-0, 2014

2013

Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2013

Spine detection in CT and MR using iterated marginal space learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2013

Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI).

[BibT_eX]

[DOI]

Rui Liao

Shun Miao

Comput. Medical Imaging Graph., 2013

Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT.

[BibT_eX]

[DOI]

Dong Yang

Matthias John

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches.

[BibT_eX]

[DOI]

Hüseyin Tek

Gareth Funka-Lea

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

Robust pigtail catheter tip detection in fluoroscopy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Automatic Heart Isolation in 3D CT Images.

[BibT_eX]

[DOI]

Hua Zhong

Gareth Funka-Lea

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries.

[BibT_eX]

[DOI]

Hua Zhong

Gareth Funka-Lea

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011

Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.

[BibT_eX]

[DOI]

Peter Meer

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI).

[BibT_eX]

[DOI]

Shun Miao

Rui Liao

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Adaptive random forest - How many "experts" to ask before making a decision?

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Visualization, 2010

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.

[BibT_eX]

[DOI]

Sushil Mittal

Bogdan Georgescu

Peter Meer

Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4D CT.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Signature Detection and Matching for Document Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Automatic left ventricle detection in MRI images using marginal space learning and component-based voting.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface.

[BibT_eX]

[DOI]

Bogdan Georgescu

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Fast and Robust 3-D MRI Brain Structure Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images.

[BibT_eX]

[DOI]

Bogdan Georgescu

Proceedings of the Information Processing in Medical Imaging, 2009

Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Constrained marginal space learning for efficient 3D anatomical structure detection in medical images.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2008

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Image Processing, 2008

A fast and accurate tracking algorithm of left ventricles in 3D echocardiography.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

AutoMPR: Automatic detection of standard planes in 3D echocardiography.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Signature-Based Document Image Retrieval.

[BibT_eX]

[DOI]

Guangyu Zhu

Proceedings of the Computer Vision, 2008

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Hierarchical, learning-based automatic liver segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Multi-scale Structural Saliency for Signature Detection.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Classification-Based Spatial Error Concealment for Visual Communications.

[BibT_eX]

[DOI]

Meng Chen

Min Wu

EURASIP J. Adv. Signal Process., 2006

Detecting Text Lines in Handwritten Documents.

[BibT_eX]

[DOI]

Yi Li

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Example Based Non-rigid Shape Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2006

2005

Handwriting identification, matching, and indexing in noisy document images.

[BibT_eX]

[DOI]

PhD thesis, 2005

A Parallel-Line Detection Algorithm Based on HMM Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Handwriting Matching and Its Application to Handwriting Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Robust Point Matching for Two-Dimensional Nonrigid Shapes.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Machine Printed Text and Handwriting Identification in Noisy Document Images.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2004

2003

Classification-based spatial error concealment for images.

[BibT_eX]

[DOI]

Meng Chen

Min Wu

Proceedings of the 2003 International Conference on Image Processing, 2003

Text Identification in Noisy Document Images Using Markov Random Field.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

A Model-based Line Detection Algorithm in Documents.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Background Line Detection with A Stochastic Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002

Single-character type identification.

[BibT_eX]

[DOI]

Changsong Liu

Xiaoqing Ding

Proceedings of the Document Recognition and Retrieval IX, 2002

The Segmentation and Identification of Handwriting in Noisy Document Images.

[BibT_eX]

[DOI]