Shaoting Zhang

Guotai Wang

Comput. Medical Imaging Graph., 2024

DeReStainer: H&E to IHC Pathological Image Translation via Decoupled Staining Channels.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dual-Perspective Label Smoothing for Accurate Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Modality-Aware and Shift Mixer for Multi-Modal Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GECSum: Generative Evaluation-Driven Sequence Level Contrastive Learning for Abstractive Summarization.

[BibT_eX]

[DOI]

Jiawen Xie

Xiaofan Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, December, 2023

Predicting cancer outcomes from whole slide images via hybrid supervision learning.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, October, 2023

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., October, 2023

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, September, 2023

A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., August, 2023

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.

[BibT_eX]

[DOI]

Neurocomputing, August, 2023

Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.

[BibT_eX]

[DOI]

Medical Image Anal., April, 2023

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., April, 2023

Deep generative modeling and clustering of single cell Hi-C data.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

SAM-DTA: a sequence-agnostic model for drug-target binding affinity prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2023

PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

Self-supervised anomaly detection, staging and segmentation for retinal images.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

[BibT_eX]

[DOI]

CoRR, 2023

ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability.

[BibT_eX]

[DOI]

CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

[BibT_eX]

[DOI]

CoRR, 2023

Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med3D.

[BibT_eX]

[DOI]

CoRR, 2023

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

SAM-Med2D.

[BibT_eX]

[DOI]

CoRR, 2023

LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation.

[BibT_eX]

[DOI]

CoRR, 2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

MedLSAM: Localize and Segment Anything Model for 3D Medical Images.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Data Redundancy in Real-world Image Classification through Data Selection.

[BibT_eX]

[DOI]

Zhenyu Tang

Xiaosong Wang

CoRR, 2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics.

[BibT_eX]

[DOI]

CoRR, 2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine.

[BibT_eX]

[DOI]

CoRR, 2023

Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes.

[BibT_eX]

[DOI]

CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2023

Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Text-Guided Foundation Model Adaptation for Pathological Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2023

Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

KiUT: Knowledge-injected U-Transformer for Radiology Report Generation.

[BibT_eX]

[DOI]

Zhongzhen Huang

Xiaofan Zhang

Raja Muhammad Saad Bashir

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Alleviating Exposure Bias via Multi-level Contrastive Learning and Deviation Simulation in Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MidMed: Towards Mixed-Type Dialogues for Medical Consultation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Predicting unseen antibodies' neutralizability via adaptive graph neural networks.

[BibT_eX]

[DOI]

Nat. Mac. Intell., November, 2022

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

[BibT_eX]

[DOI]

Ganapathy Krishnamurthi

Medical Image Anal., 2022

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Self-Supervised and Weight-preserving Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Guest editorial: Deep learning for medical image analysis.

[BibT_eX]

[DOI]

Hongsheng Li

Neurocomputing, 2021

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.

[BibT_eX]

[DOI]

Neurocomputing, 2021

One-shot Weakly-Supervised Segmentation in Medical Images.

[BibT_eX]

[DOI]

CoRR, 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.

[BibT_eX]

[DOI]

CoRR, 2021

Mixed Supervision Learning for Whole Slide Image Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2021

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation.

[BibT_eX]

[DOI]

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

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.

[BibT_eX]

[DOI]

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

A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction.

[BibT_eX]

[DOI]

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

Hybrid Supervision Learning for Pathology Whole Slide Image Classification.

[BibT_eX]

[DOI]

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

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.

[BibT_eX]

[DOI]

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

Multi-compound Transformer for Accurate Biomedical Image Segmentation.

[BibT_eX]

[DOI]

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

Fully Test-Time Adaptation for Image Segmentation.

[BibT_eX]

[DOI]

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

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction.

[BibT_eX]

[DOI]

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

A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

[BibT_eX]

[DOI]

Gregory M. Riedlinger

Subhajyoti De

IEEE Trans. Medical Imaging, 2020

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.

[BibT_eX]

[DOI]

CoRR, 2020

One-Shot Object Localization in Medical Images based on Relative Position Regression.

[BibT_eX]

[DOI]

CoRR, 2020

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Euler's Elastica Model for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization.

[BibT_eX]

[DOI]

CoRR, 2020

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices.

[BibT_eX]

[DOI]

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

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans.

[BibT_eX]

[DOI]

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

NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification.

[BibT_eX]

[DOI]

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

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets.

[BibT_eX]

[DOI]

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

Feature-Enhanced Graph Networks for Genetic Mutational Prediction Using Histopathological Images in Colon Cancer.

[BibT_eX]

[DOI]

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

2019

Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2019

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.

[BibT_eX]

[DOI]

CoRR, 2019

Computational modeling of cellular structures using conditional deep generative networks.

[BibT_eX]

[DOI]

Bioinform., 2019

High- and Low-Level Feature Enhancement for Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Automated Segmentation of Skin Lesion Based on Pyramid Attention Network.

[BibT_eX]

[DOI]

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

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.

[BibT_eX]

[DOI]

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

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation.

[BibT_eX]

[DOI]

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

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation.

[BibT_eX]

[DOI]

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

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.

[BibT_eX]

[DOI]

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

ImWeb: cross-platform immersive web browsing for online 3D neuron database exploration.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Residual Attention Based Network for Hand Bone Age Assessment.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.

[BibT_eX]

[DOI]

Neuroinformatics, 2018

Large-scale retrieval for medical image analytics: A comprehensive review.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.

[BibT_eX]

[DOI]

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

Deep feature representation for the computational analytics of 3D neuronal morphology.

[BibT_eX]

[DOI]

Zhongyu Li

Chaowei Fang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

CR-GAN: Learning Complete Representations for Multi-view Generation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.

[BibT_eX]

[DOI]

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

Latent Max-Margin Multitask Learning With Skelets for 3-D Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Indexing and mining large-scale neuron databases using maximum inner product search.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Guest Editorial: Special issue on advances in computing techniques for big medical image data.

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[DOI]

Neurocomputing, 2017

Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Interactive Reinforcement Learning for Object Grounding via Self-Talking.

[BibT_eX]

[DOI]

Yan Zhu

CoRR, 2017

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

Cancer Metastasis Detection via Spatially Structured Deep Network.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2017

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2016

Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases.

[BibT_eX]

[DOI]

Sailesh Conjeti

Sepideh Mesbah

Mohammadreza Negahdar

Philipp L. Rautenberg

Nassir Navab

Amin Katouzian

Neuroinformatics, 2016

Large-Scale medical image analytics: Recent methodologies, applications and Future directions.

[BibT_eX]

[DOI]

Medical Image Anal., 2016

Scalable histopathological image analysis via supervised hashing with multiple features.

[BibT_eX]

[DOI]

Medical Image Anal., 2016

A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Visual Tracking via Reliable Memories.

[BibT_eX]

[DOI]

CoRR, 2016

Multimodal Deep Learning for Cervical Dysplasia Diagnosis.

[BibT_eX]

[DOI]

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

Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network.

[BibT_eX]

[DOI]

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

Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors.

[BibT_eX]

[DOI]

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

Maximum inner product search for morphological retrieval of large-scale neuron data.

[BibT_eX]

[DOI]

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

Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Visual Tracking with Reliable Memories.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Embedding Label Structures for Fine-Grained Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multispectral Deep Neural Networks for Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2015

Query Specific Rank Fusion for Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

High-throughput histopathological image analysis via robust cell segmentation and hashing.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.

[BibT_eX]

[DOI]

Medical Image Anal., 2015

Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2015

From circle to 3-sphere: Head pose estimation by instance parameterization.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2015

Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2015

Sparsity techniques in medical imaging.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2015

Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015).

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[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction.

[BibT_eX]

[DOI]

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

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions.

[BibT_eX]

[DOI]

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

Automated anatomical landmark detection ondistal femur surface using convolutional neural network.

[BibT_eX]

[DOI]

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

Leveraging coupled multi-index for scalable retrieval of mammographic masses.

[BibT_eX]

[DOI]

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

Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2015

Learning Binary Codes for Maximum Inner Product Search.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

PIEFA: Personalized Incremental and Ensemble Face Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Three-dimensional head pose estimation in-the-wild.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Solving a Special Type of Jigsaw Puzzles: Banknote Reconstruction From a Large Number of Fragments.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2014

Feature Matching with Affine-Function Transformation Models.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deformable models with sparsity constraints for cardiac motion analysis.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

Blue noise sampling method based on mixture distance.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2014

Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions.

[BibT_eX]

[DOI]

Image Vis. Comput., 2014

Mining Histopathological Images via Composite Hashing and Online Learning.

[BibT_eX]

[DOI]

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

Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014).

[BibT_eX]

[DOI]

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

Detection of Mammographic Masses by Content-Based Image Retrieval.

[BibT_eX]

[DOI]

Menglin Jiang

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion.

[BibT_eX]

[DOI]

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

Scalable Histopathological Image Analysis via Active Learning.

[BibT_eX]

[DOI]

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

Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine.

[BibT_eX]

[DOI]

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

Mining histopathological images via hashing-based scalable image retrieval.

[BibT_eX]

[DOI]

Xiaofan Zhang

Wei Liu

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

Robust and efficient 3D registration via depth map-based feature point matching in image-guided neurosurgery.

[BibT_eX]

[DOI]

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

Scalable sparse shape composition and its application to liver surgical planning.

[BibT_eX]

[DOI]

Guotai Wang

Lixu Gu

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

Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model.

[BibT_eX]

[DOI]

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

Scalable mammogram retrieval using Anchor Graph Hashing.

[BibT_eX]

[DOI]

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

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval.

[BibT_eX]

[DOI]

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

Morphological analysis of the papillary muscles and the trabeculae.

[BibT_eX]

[DOI]

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

Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Head Pose Estimation by Instance Parameterization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

A review of motion analysis methods for human Nonverbal Communication Computing.

[BibT_eX]

[DOI]

Image Vis. Comput., 2013

3D anatomical shape atlas construction using mesh quality preserved deformable models.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.

[BibT_eX]

[DOI]

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

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models.

[BibT_eX]

[DOI]

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

Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Mouse LV 3D motion and strain analysis using tagged MRI.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Practical patient-specific cardiac blood flow simulations using SPH.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

High resolution cardiac shape registration using Ricci flow.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Sparse Deformable Models with Application to Cardiac Motion Analysis.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2013

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Automated analysis of interactional synchrony using robust facial tracking and expression recognition.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Recognizing eyebrow and periodic head gestures using CRFs for non-manual grammatical marker detection in ASL.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Large Scale Medical Image Search via Unsupervised PCA Hashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Automatic Image Annotation and Retrieval Using Group Sparsity.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

Deformable segmentation via sparse representation and dictionary learning.

[BibT_eX]

[DOI]

Yiqiang Zhan

Medical Image Anal., 2012

Towards robust and effective shape modeling: Sparse shape composition.

[BibT_eX]

[DOI]

Medical Image Anal., 2012

Temporal Spectral Residual for fast salient motion detection.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning.

[BibT_eX]

[DOI]

Yiqiang Zhan

Yan Zhou

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

Simplified Labeling Process for Medical Image Segmentation.

[BibT_eX]

[DOI]

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

Left endocardium tracking via collaborative trackers and shape prior.

[BibT_eX]

[DOI]

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

Efficient sparse shape composition with its applications in biomedical image analysis: An overview.

[BibT_eX]

[DOI]

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

Segmentation of myocardium using deformable regions and graph cuts.

[BibT_eX]

[DOI]

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

Left endocardium segmentation using spatio-temporal Metamorphs.

[BibT_eX]

[DOI]

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

Query Specific Fusion for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Background Subtraction Using Low Rank and Group Sparsity Constraints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Efficient MR image reconstruction for compressed MR imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2011

Composite splitting algorithms for convex optimization.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2011

Robust mesh editing using Laplacian coordinates.

[BibT_eX]

[DOI]

Graph. Model., 2011

Deformable Segmentation via Sparse Shape Representation.

[BibT_eX]

[DOI]

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

3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models.

[BibT_eX]

[DOI]

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

Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow.

[BibT_eX]

[DOI]

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

Automatic Alignment of Brain MR Scout Scans Using Data-adaptive Multi-structural Model.

[BibT_eX]

[DOI]

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

3D segmentation of rodent brain structures using Active Volume Model with shape priors.

[BibT_eX]

[DOI]

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

Group sparsity based classification for cervigram segmentation.

[BibT_eX]

[DOI]

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

A 3D Laplacian-driven parametric deformable model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Optimal object matching via convexification and composition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.

[BibT_eX]

[DOI]

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

4D Cardiac Reconstruction Using High Resolution CT Images.

[BibT_eX]

[DOI]

Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Sparse shape composition: A new framework for shape prior modeling.

[BibT_eX]

[DOI]

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

2010

Cervigram image segmentation based on reconstructive sparse representations.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2010: Image Processing, 2010

Discriminative sparse representations for cervigram image segmentation.

[BibT_eX]

[DOI]

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

Skeleton Based As-Rigid-As-Possible Volume Modeling.

[BibT_eX]

[DOI]

Andrew Nealen

Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010

Hybrid Mesh Editing.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010

Fast Optimization for Mixture Prior Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2010

Automatic image annotation using group sparsity.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Image retrieval via probabilistic hypergraph ranking.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Segmentation of Rodent Brains from MRI Based on a Novel Statistical Structure Prediction Method.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

LV Surface Reconstruction from Sparse TMRI Using Laplacian Surface Deformation and Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

3D segmentation of rodent brains using deformable models and variational methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2006

The Framework for Real-Time Simulation of Deformable Soft-Tissue Using a Hybrid Elastic Model.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Simulation, Third International Symposium, 2006

Real-Time Simulation for Global Deformation of Soft Tissue Using Deformable Centerline and Medial Representation.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Simulation, Third International Symposium, 2006

Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Reality and Tele-Existence, 2006

A Visual Validation Method Based on Point Mappings for Medical Image Segmentation.

[BibT_eX]

[DOI]

Feng Qian

Lixu Gu