Yefeng Zheng

Orcid: 0000-0003-2195-2847

Affiliations:
  • Tencent, Jarvis Lab, Shenzhen, China
  • Siemens Corporate Research, Princeton, NJ, USA (2006 - 2017)
  • University of Maryland, College Park, MD, USA (PhD 2005)


According to our database1, Yefeng Zheng authored at least 382 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Distributional Fairness-aware Recommendation.
ACM Trans. Inf. Syst., September, 2024

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Adversarial Medical Image With Hierarchical Feature Hiding.
IEEE Trans. Medical Imaging, April, 2024

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Anomaly detection via gating highway connection for retinal fundus images.
Pattern Recognit., April, 2024

Attention Cycle-consistent universal network for More Universal Domain Adaptation.
Pattern Recognit., March, 2024

Cross-modality Neuroimage Synthesis: A Survey.
ACM Comput. Surv., March, 2024

Prototypical Graph Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning.
IEEE J. Biomed. Health Informatics, February, 2024

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.
IEEE Trans. Medical Imaging, January, 2024

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning.
IEEE Trans. Medical Imaging, January, 2024

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
Medical Image Anal., January, 2024

Self-supervised learning for medical image data with anatomy-oriented imaging planes.
Medical Image Anal., 2024

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.
Medical Image Anal., 2024

Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction.
Medical Image Anal., 2024

Improving vision transformer for medical image classification via token-wise perturbation.
J. Vis. Commun. Image Represent., 2024

Wearable-based behaviour interpolation for semi-supervised human activity recognition.
Inf. Sci., 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.
CoRR, 2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR, 2024

AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.
CoRR, 2024

Learning Long-form Video Prior via Generative Pre-Training.
CoRR, 2024

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.
CoRR, 2024

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.
CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.
CoRR, 2024

ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields.
CoRR, 2024

CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video.
CoRR, 2024

A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram.
Biomed. Signal Process. Control., 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.
Artif. Intell. Medicine, 2024

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph.
Proceedings of the ACM on Web Conference 2024, 2024

Causally Debiased Time-aware Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Knowledge-aware Attention Network for Medication Effectiveness Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Biomedical Entity Linking as Multiple Choice Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Learning via Input-Output Collaborative Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.
IEEE Trans. Medical Imaging, December, 2023

A deep weakly semi-supervised framework for endoscopic lesion segmentation.
Medical Image Anal., December, 2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.
J. Vis. Commun. Image Represent., December, 2023

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
IEEE Trans. Medical Imaging, October, 2023

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal., October, 2023

S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.
IEEE Trans. Medical Imaging, September, 2023

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal., August, 2023

Learning from multiple annotators for medical image segmentation.
Pattern Recognit., June, 2023

Probing the Impacts of Visual Context in Multimodal Entity Alignment.
Data Sci. Eng., June, 2023

InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images.
Medical Image Anal., April, 2023

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.
IEEE J. Biomed. Health Informatics, March, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
IEEE Trans. Medical Imaging, 2023

A medical multimodal large language model for future pandemics.
npj Digit. Medicine, 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.
Nat. Comput. Sci., 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Medical Image Anal., 2023

Editorial for the MEDIA MICCAI special issue 2021.
Medical Image Anal., 2023

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis.
Neurocomputing, 2023

Large Language Models for Generative Information Extraction: A Survey.
CoRR, 2023

Improving Biomedical Entity Linking with Retrieval-enhanced Learning.
CoRR, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR, 2023

UniHead: Unifying Multi-Perception for Detection Heads.
CoRR, 2023

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR, 2023

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning.
CoRR, 2023

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG.
CoRR, 2023

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment.
CoRR, 2023

Dynamically Masked Discriminator for Generative Adversarial Networks.
CoRR, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.
CoRR, 2023

VisorGPT: Learning Visual Prior via Generative Pre-Training.
CoRR, 2023

Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model.
CoRR, 2023

Improving GAN Training via Feature Space Shrinkage.
CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
CoRR, 2023

Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan.
CoRR, 2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
CoRR, 2023

A New Perspective to Boost Vision Transformer for Medical Image Classification.
CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.
Proceedings of the ACM Web Conference 2023, 2023

Distributionally Robust Sequential Recommnedation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Dynamically Masked Discriminator for GANs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Visual Prior via Generative Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Cross-Modal Contrastive Learning for Event Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

Interactive Segmentation as Gaussian Process Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Identify Event Causality with Knowledge and Analogy.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Combating Mode Collapse via Offline Manifold Entropy Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging, 2022

Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
IEEE Trans. Medical Imaging, 2022

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.
IEEE Trans. Medical Imaging, 2022

Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Understanding Patient Query With Weak Supervision From Doctor Response.
IEEE J. Biomed. Health Informatics, 2022

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.
IEEE J. Biomed. Health Informatics, 2022

TW-GAN: Topology and width aware GAN for retinal artery/vein classification.
Medical Image Anal., 2022

Cross-Domain Gated Learning for Domain Generalization.
Int. J. Comput. Vis., 2022

Knowing the Past to Predict the Future: Reinforcement Virtual Learning.
CoRR, 2022

Decoupled Mixup for Generalized Visual Recognition.
CoRR, 2022

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.
CoRR, 2022

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression.
CoRR, 2022

Combating Mode Collapse in GANs via Manifold Entropy Estimation.
CoRR, 2022

Robust Representation via Dynamic Feature Aggregation.
CoRR, 2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.
CoRR, 2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR, 2022

A Survey of Cross-Modality Brain Image Synthesis.
CoRR, 2022

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss.
CoRR, 2022

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis.
CoRR, 2022

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains.
Bioinform., 2022

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

An Inclusive Task-Aware Framework for Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Lesion Guided Explainable Few Weak-Shot Medical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CLINER: Clinical Interrogation Named Entity Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PAC-Bayes Information Bottleneck.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2022

Contractible Regularization for Federated Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Data Mining, 2022

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Decoupled Mixup for Out-of-Distribution Visual Recognition.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-modal Contrastive Representation Learning for Entity Alignment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Finding Influential Instances for Distantly Supervised Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Probing the Impacts of Visual Context in Multimodal Entity Alignment.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
IEEE Trans. Medical Imaging, 2021

A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.
IEEE Trans. Medical Imaging, 2021

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation.
Pattern Recognit., 2021

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Medical Image Anal., 2021

Pairwise learning for medical image segmentation.
Medical Image Anal., 2021

S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.
Medical Image Anal., 2021

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description.
Medical Image Anal., 2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.
CoRR, 2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images.
CoRR, 2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.
CoRR, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
CoRR, 2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.
CoRR, 2021

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint.
CoRR, 2021

Residual Moment Loss for Medical Image Segmentation.
CoRR, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
CoRR, 2021

Prototypical Graph Contrastive Learning.
CoRR, 2021

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction.
CoRR, 2021

The Medical Segmentation Decathlon.
CoRR, 2021

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures.
CoRR, 2021

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Lifelong Learning Based Disease Diagnosis on Clinical Notes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views.
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.
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.
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.
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.
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.
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.
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.
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation.
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation.
Proceedings of the Information Processing in Medical Imaging, 2021

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework.
Proceedings of the Information Processing in Medical Imaging, 2021

Feature Library: A Benchmark for Cervical Lesion Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Stabilized Medical Image Attacks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

From Rain Generation to Rain Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Calibrated RGB-D Salient Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
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.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction.
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.
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.
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.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.
IEEE Trans. Medical Imaging, 2020

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.
IEEE Trans. Medical Imaging, 2020

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.
IEEE J. Biomed. Health Informatics, 2020

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.
Medical Image Anal., 2020

Uncertainty-aware domain alignment for anatomical structure segmentation.
Medical Image Anal., 2020

RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System.
CoRR, 2020

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks.
CoRR, 2020

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.
CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation.
CoRR, 2020

Quality Control of Neuron Reconstruction Based on Deep Learning.
CoRR, 2020

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Instance-Aware Self-supervised Learning for Nuclei Segmentation.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning and Exploiting Interclass Visual Correlations for Medical Image Classification.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ensembled ResUnet for Anatomical Brain Barriers Segmentation.
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.
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.
Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Learning Crisp Edge Detector Using Logical Refinement Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Superpixel-Guided Label Softening for Medical Image Segmentation.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications.
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.
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.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.
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.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Multi-Task Self-Supervised Learning Framework for Scopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Image Clustering with Category-Style Representation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Adversarial Network for Deep Active Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Industry Evaluation of Embedding-based Entity Alignment.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Generative Adversarial Networks for Video-to-Video Domain Adaptation.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019

Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks.
CoRR, 2019

Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.
CoRR, 2019

Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence.
CoRR, 2019

A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage.
CoRR, 2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
CoRR, 2019

TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos.
CoRR, 2019

Med3D: Transfer Learning for 3D Medical Image Analysis.
CoRR, 2019

Combo loss: Handling input and output imbalance in multi-organ segmentation.
Comput. Medical Imaging Graph., 2019

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Select, Attend, and Transfer: Light, Learnable Skip Connections.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Seg4Reg Networks for Automated Spinal Curvature Estimation.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.
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.
CoRR, 2018

Select, Attend, and Transfer: Light, Learnable Skip Connections.
CoRR, 2018

Deep similarity learning for multimodal medical images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes.
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.
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.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Face Completion with Semantic Knowledge and Collaborative Adversarial Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.
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.
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.
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.
CoRR, 2017

Self supervised deep representation learning for fine-grained body part recognition.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.
IEEE Trans. Medical Imaging, 2016

Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Real-time 2D/3D registration via CNN regression.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging, 2015

Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets.
IEEE Trans. Medical Imaging, 2015

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data.
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.
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.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Component-composition based heart isolation for 3D volume visualization of coronary arteries.
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.
IEEE Trans. Medical Imaging, 2014

Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Precise Lumen Segmentation in Coronary Computed Tomography Angiography.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors.
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.
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
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.
IEEE Trans. Medical Imaging, 2013

Spine detection in CT and MR using iterated marginal space learning.
Medical Image Anal., 2013

Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI).
Comput. Medical Imaging Graph., 2013

Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation.
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.
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.
IEEE Trans. Medical Imaging, 2012

Robust pigtail catheter tip detection in fluoroscopy.
Proceedings of the Medical Imaging 2012: Image-Guided Procedures, 2012

Automatic Heart Isolation in 3D CT Images.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries.
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.
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.
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.
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.
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.
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.
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.
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.
IEEE Trans. Medical Imaging, 2011

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes.
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.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.
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.
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.
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).
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?
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.
Proceedings of the Medical Imaging 2010: Visualization, 2010

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management.
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.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Signature Detection and Matching for Document Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Automatic left ventricle detection in MRI images using marginal space learning and component-based voting.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Fast and Robust 3-D MRI Brain Structure Segmentation.
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.
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.
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.
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.
IEEE Trans. Medical Imaging, 2008

Script-Independent Text Line Segmentation in Freestyle Handwritten Documents.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

A fast and accurate tracking algorithm of left ventricles in 3D echocardiography.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

AutoMPR: Automatic detection of standard planes in 3D echocardiography.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Signature-Based Document Image Retrieval.
Proceedings of the Computer Vision, 2008

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Hierarchical, learning-based automatic liver segmentation.
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.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Multi-scale Structural Saliency for Signature Detection.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Classification-Based Spatial Error Concealment for Visual Communications.
EURASIP J. Adv. Signal Process., 2006

Detecting Text Lines in Handwritten Documents.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Example Based Non-rigid Shape Detection.
Proceedings of the Computer Vision, 2006

2005
Handwriting identification, matching, and indexing in noisy document images.
PhD thesis, 2005

A Parallel-Line Detection Algorithm Based on HMM Decoding.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Handwriting Matching and Its Application to Handwriting Synthesis.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Robust Point Matching for Two-Dimensional Nonrigid Shapes.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Machine Printed Text and Handwriting Identification in Noisy Document Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

2003
Classification-based spatial error concealment for images.
Proceedings of the 2003 International Conference on Image Processing, 2003

Text Identification in Noisy Document Images Using Markov Random Field.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

A Model-based Line Detection Algorithm in Documents.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Background Line Detection with A Stochastic Model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
Single-character type identification.
Proceedings of the Document Recognition and Retrieval IX, 2002

The Segmentation and Identification of Handwriting in Noisy Document Images.
Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

2001
Form Frame Line Detection with Directional Single-Connected Chain.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001


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