Shaoting Zhang

Orcid: 0000-0002-8719-448X

Affiliations:
  • Shanghai Artificial Intelligence Laboratory, China
  • SenseTime Research, Shanghai, China (former)
  • University of North Carolina at Charlotte, NC, USA (2013- 2019)
  • Rutgers University, New Brunswick, NJ, USA (PhD 2012)
  • Shanghai Jiaotong University, School of Software, China (2005 - 2008)


According to our database1, Shaoting Zhang authored at least 280 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Pattern-Aware Transformer: Hierarchical Pattern Propagation in Sequential Medical Images.
IEEE Trans. Medical Imaging, January, 2024

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets.
IEEE Trans. Medical Imaging, January, 2024

One-Shot Weakly-Supervised Segmentation in 3D Medical Images.
IEEE Trans. Medical Imaging, January, 2024

On the challenges and perspectives of foundation models for medical image analysis.
Medical Image Anal., January, 2024

AVDNet: Joint coronary artery and vein segmentation with topological consistency.
Medical Image Anal., January, 2024

PathoTune: Adapting Visual Foundation Model to Pathological Specialists.
CoRR, 2024

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification.
CoRR, 2024

Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation.
CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR, 2024

Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA.
CoRR, 2024

Data-Centric Foundation Models in Computational Healthcare: A Survey.
CoRR, 2024

2023
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023

Predicting cancer outcomes from whole slide images via hybrid supervision learning.
Neurocomputing, November, 2023

HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.
IEEE Trans. Medical Imaging, October, 2023

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
IEEE Trans. Medical Imaging, September, 2023

A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation.
Medical Image Anal., August, 2023

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.
Neurocomputing, August, 2023

Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal., April, 2023

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
Comput. Methods Programs Biomed., April, 2023

Deep generative modeling and clustering of single cell Hi-C data.
Briefings Bioinform., January, 2023

SAM-DTA: a sequence-agnostic model for drug-target binding affinity prediction.
Briefings Bioinform., January, 2023

PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation.
IEEE Trans. Medical Imaging, 2023

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing.
Medical Image Anal., 2023

Self-supervised anomaly detection, staging and segmentation for retinal images.
Medical Image Anal., 2023

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting.
CoRR, 2023

ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability.
CoRR, 2023

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.
CoRR, 2023

Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation.
CoRR, 2023

SAM-Med3D.
CoRR, 2023

Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts.
CoRR, 2023

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
CoRR, 2023

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation.
CoRR, 2023

SAM-Med2D.
CoRR, 2023

LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation.
CoRR, 2023

Classification of lung cancer subtypes on CT images with synthetic pathological priors.
CoRR, 2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.
CoRR, 2023

MedLSAM: Localize and Segment Anything Model for 3D Medical Images.
CoRR, 2023

Exploring Data Redundancy in Real-world Image Classification through Data Selection.
CoRR, 2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.
CoRR, 2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.
CoRR, 2023

Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics.
CoRR, 2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models.
CoRR, 2023

MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine.
CoRR, 2023

Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network.
CoRR, 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes.
CoRR, 2023

STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training.
CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.
CoRR, 2023

Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Text-Guided Foundation Model Adaptation for Pathological Image Classification.
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.
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction.
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.
Proceedings of the Information Processing in Medical Imaging, 2023

Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation.
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.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MidMed: Towards Mixed-Type Dialogues for Medical Consultation.
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.
Nat. Mac. Intell., November, 2022

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.
IEEE Trans. Medical Imaging, 2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training.
IEEE J. Biomed. Health Informatics, 2022

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022

SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Medical Image Anal., 2022

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
Medical Image Anal., 2022

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.
Medical Image Anal., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.
Medical Image Anal., 2022

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation.
CoRR, 2022

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications.
CoRR, 2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.
CoRR, 2022

Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images.
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.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Self-Supervised and Weight-preserving Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Efficient Federated Tumor Segmentation via Parameter Distance Weighted Aggregation and Client Pruning.
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.
IEEE Trans. Medical Imaging, 2021

Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning.
IEEE Trans. Medical Imaging, 2021

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal., 2021

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021

Guest editorial: Deep learning for medical image analysis.
Neurocomputing, 2021

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021

One-shot Weakly-Supervised Segmentation in Medical Images.
CoRR, 2021

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region.
CoRR, 2021

Mixed Supervision Learning for Whole Slide Image Classification.
CoRR, 2021

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation.
CoRR, 2021

MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers.
BMC Medical Imaging, 2021

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
IEEE Trans. Medical Imaging, 2020

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.
IEEE Trans. Medical Imaging, 2020

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks.
Medical Image Anal., 2020

Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation.
Neurocomputing, 2020

Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.
CoRR, 2020

One-Shot Object Localization in Medical Images based on Relative Position Regression.
CoRR, 2020

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.
CoRR, 2020

Learning Euler's Elastica Model for Medical Image Segmentation.
CoRR, 2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency.
CoRR, 2020

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization.
CoRR, 2020

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation.
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.
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.
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.
IEEE Trans. Hum. Mach. Syst., 2019

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.
CoRR, 2019

Computational modeling of cellular structures using conditional deep generative networks.
Bioinform., 2019

High- and Low-Level Feature Enhancement for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Automated Segmentation of Skin Lesion Based on Pyramid Attention Network.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation.
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.
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.
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.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Residual Attention Based Network for Hand Bone Age Assessment.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction.
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.
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.
Neuroinformatics, 2018

Large-scale retrieval for medical image analytics: A comprehensive review.
Medical Image Anal., 2018

Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild.
Int. J. Comput. Vis., 2018

Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep feature representation for the computational analytics of 3D neuronal morphology.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

CR-GAN: Learning Complete Representations for Multi-view Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
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.
IEEE Trans. Cybern., 2017

Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization.
IEEE Trans. Circuits Syst. Video Technol., 2017

Indexing and mining large-scale neuron databases using maximum inner product search.
Pattern Recognit., 2017

Guest Editorial: Special issue on advances in computing techniques for big medical image data.
Neurocomputing, 2017

Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks.
Neurocomputing, 2017

Interactive Reinforcement Learning for Object Grounding via Self-Talking.
CoRR, 2017

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration.
Proceedings of the Information Processing in Medical Imaging, 2017

Cancer Metastasis Detection via Spatially Structured Deep Network.
Proceedings of the Information Processing in Medical Imaging, 2017

Multi-Instance Multi-Stage Deep Learning for Medical Image Recognition.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition.
IEEE Trans. Medical Imaging, 2016

Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis.
IEEE J. Biomed. Health Informatics, 2016

Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases.
Neuroinformatics, 2016

Large-Scale medical image analytics: Recent methodologies, applications and Future directions.
Medical Image Anal., 2016

Scalable histopathological image analysis via supervised hashing with multiple features.
Medical Image Anal., 2016

A detection-driven and sparsity-constrained deformable model for fascia lata labeling and thigh inter-muscular adipose quantification.
Comput. Vis. Image Underst., 2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks.
CoRR, 2016

Visual Tracking via Reliable Memories.
CoRR, 2016

Multimodal Deep Learning for Cervical Dysplasia Diagnosis.
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors.
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.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonlinear Hierarchical Part-Based Regression for Unconstrained Face Alignment.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Visual Tracking with Reliable Memories.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Embedding Label Structures for Fine-Grained Feature Representation.
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.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multispectral Deep Neural Networks for Pedestrian Detection.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval.
IEEE Trans. Medical Imaging, 2015

Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization.
IEEE Trans. Medical Imaging, 2015

Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues.
IEEE Trans. Cybern., 2015

Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval.
IEEE Trans. Biomed. Eng., 2015

Query Specific Rank Fusion for Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

High-throughput histopathological image analysis via robust cell segmentation and hashing.
Medical Image Anal., 2015

A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.
Medical Image Anal., 2015

Multi-Pose and Occluded Facial Landmark Localization Via Sparse Shape Representation.
Int. J. Artif. Intell. Tools, 2015

From circle to 3-sphere: Head pose estimation by instance parameterization.
Comput. Vis. Image Underst., 2015

Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials.
Comput. Medical Imaging Graph., 2015

Sparsity techniques in medical imaging.
Comput. Medical Imaging Graph., 2015

Toward consistent cell segmentation: quality assessment of cell segments via appearance and geometry features.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation.
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.
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).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis.
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.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automated anatomical landmark detection ondistal femur surface using convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Leveraging coupled multi-index for scalable retrieval of mammographic masses.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Weighted Hashing with Multiple Cues for Cell-Level Analysis of Histopathological Images.
Proceedings of the Information Processing in Medical Imaging, 2015

Learning Binary Codes for Maximum Inner Product Search.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

PIEFA: Personalized Incremental and Ensemble Face Alignment.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Three-dimensional head pose estimation in-the-wild.
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.
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.
IEEE Trans. Multim., 2014

Feature Matching with Affine-Function Transformation Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Deformable models with sparsity constraints for cardiac motion analysis.
Medical Image Anal., 2014

Blue noise sampling method based on mixture distance.
J. Electronic Imaging, 2014

Non-manual grammatical marker recognition based on multi-scale, spatio-temporal analysis of head pose and facial expressions.
Image Vis. Comput., 2014

Mining Histopathological Images via Composite Hashing and Online Learning.
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).
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Detection of Mammographic Masses by Content-Based Image Retrieval.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Scalable Histopathological Image Analysis via Active Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Robust shape prior modeling based on Gaussian-Bernoulli restricted Boltzmann Machine.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Mining histopathological images via hashing-based scalable image retrieval.
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.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Scalable sparse shape composition and its application to liver surgical planning.
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.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Scalable mammogram retrieval using Anchor Graph Hashing.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Morphological analysis of the papillary muscles and the trabeculae.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Head Pose Estimation by Instance Parameterization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
A review of motion analysis methods for human Nonverbal Communication Computing.
Image Vis. Comput., 2013

3D anatomical shape atlas construction using mesh quality preserved deformable models.
Comput. Vis. Image Underst., 2013

Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models.
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.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction.
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.
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.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Practical patient-specific cardiac blood flow simulations using SPH.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

High resolution cardiac shape registration using Ricci flow.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Sparse Deformable Models with Application to Cardiac Motion Analysis.
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.
Proceedings of the Information Processing in Medical Imaging, 2013

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Automated analysis of interactional synchrony using robust facial tracking and expression recognition.
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.
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.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Automatic Image Annotation and Retrieval Using Group Sparsity.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Deformable segmentation via sparse representation and dictionary learning.
Medical Image Anal., 2012

Towards robust and effective shape modeling: Sparse shape composition.
Medical Image Anal., 2012

Temporal Spectral Residual for fast salient motion detection.
Neurocomputing, 2012

Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Simplified Labeling Process for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Left endocardium tracking via collaborative trackers and shape prior.
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.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Segmentation of myocardium using deformable regions and graph cuts.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Left endocardium segmentation using spatio-temporal Metamorphs.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Query Specific Fusion for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2012, 2012

Background Subtraction Using Low Rank and Group Sparsity Constraints.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Efficient MR image reconstruction for compressed MR imaging.
Medical Image Anal., 2011

Composite splitting algorithms for convex optimization.
Comput. Vis. Image Underst., 2011

Robust mesh editing using Laplacian coordinates.
Graph. Model., 2011

Deformable Segmentation via Sparse Shape Representation.
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.
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.
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.
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.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Group sparsity based classification for cervigram segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A 3D Laplacian-driven parametric deformable model.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Optimal object matching via convexification and composition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

4D Cardiac Reconstruction Using High Resolution CT Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Sparse shape composition: A new framework for shape prior modeling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Cervigram image segmentation based on reconstructive sparse representations.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Discriminative sparse representations for cervigram image segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Skeleton Based As-Rigid-As-Possible Volume Modeling.
Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010

Hybrid Mesh Editing.
Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010

Fast Optimization for Mixture Prior Models.
Proceedings of the Computer Vision, 2010

Automatic image annotation using group sparsity.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Image retrieval via probabilistic hypergraph ranking.
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.
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.
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.
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.
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.
Proceedings of the Biomedical Simulation, Third International Symposium, 2006

Real-Time Simulation for Global Deformation of Soft Tissue Using Deformable Centerline and Medial Representation.
Proceedings of the Biomedical Simulation, Third International Symposium, 2006

Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash.
Proceedings of the Advances in Artificial Reality and Tele-Existence, 2006

A Visual Validation Method Based on Point Mappings for Medical Image Segmentation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005


  Loading...