Dong Ni

Orcid: 0000-0002-9146-6003

Affiliations:
  • Shenzhen University, School of Biomedical Engineering, China
  • Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
  • Chinese University of Hong Kong, Hong Kong (PhD 2009)


According to our database1, Dong Ni authored at least 193 papers between 2008 and 2025.

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Bibliography

2025
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.
Medical Image Anal., 2025

2024
Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration.
IEEE Trans. Medical Imaging, June, 2024

Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data.
Sensors, June, 2024

Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation.
Expert Syst. Appl., March, 2024

Segment anything model for medical images?
Medical Image Anal., February, 2024

FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound.
Medical Image Anal., January, 2024

A modified U-net with graph representation for dose prediction in esophageal cancer radiotherapy plans.
Comput. Medical Imaging Graph., January, 2024

Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound.
Medical Image Anal., 2024

Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation.
Expert Syst. Appl., 2024

FiRework: Field Refinement Framework for Efficient Enhancement of Deformable Registration.
CoRR, 2024

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification.
CoRR, 2024

A Review of Image Processing Methods in Prostate Ultrasound.
CoRR, 2024

UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation.
CoRR, 2024

ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration.
CoRR, 2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
CoRR, 2024

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning.
CoRR, 2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.
Comput. Biol. Medicine, 2024

An efficient framework for lesion segmentation in ultrasound images using global adversarial learning and region-invariant loss.
Comput. Biol. Medicine, 2024

Multi-purposed diagnostic system for ovarian endometrioma using CNN and transformer networks in ultrasound.
Biomed. Signal Process. Control., 2024

Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Mitral Regurgitation Recogniton Based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Robust Box Prompt Based SAM for Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Fine-Grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Is Two-Shot All You Need? A Label-Efficient Approach for Video Segmentation in Breast Ultrasound.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Triaug: Out-Of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Foundation Model for General Moving Object Segmentation in Medical Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences.
IEEE Trans. Medical Imaging, December, 2023

Test-time bi-directional adaptation between image and model for robust segmentation.
Comput. Methods Programs Biomed., May, 2023

Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences.
Medical Image Anal., 2023

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction.
Medical Image Anal., 2023

FetusMapV2: Enhanced Fetal Pose Estimation in 3D Ultrasound.
CoRR, 2023

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis.
CoRR, 2023

Segment Anything Model for Medical Images?
CoRR, 2023

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fourier Test-Time Adaptation with Multi-level Consistency for Robust Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Hierarchical Agent-Based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention.
IEEE J. Biomed. Health Informatics, 2022

Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip.
IEEE J. Biomed. Health Informatics, 2022

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.
Medical Image Anal., 2022

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns.
Medical Image Anal., 2022

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis.
Medical Image Anal., 2022

Extracting keyframes of breast ultrasound video using deep reinforcement learning.
Medical Image Anal., 2022

Boundary-rendering network for breast lesion segmentation in ultrasound images.
Medical Image Anal., 2022

HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images.
Expert Syst. Appl., 2022

Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Motion Network for Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Masked Video Modeling with Correlation-Aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature Decoupling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Online Reflective Learning for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fine-Grained Correlation Loss for Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound.
IEEE Trans. Medical Imaging, 2021

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
IEEE Trans. Medical Imaging, 2021

Learn Fine-Grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images.
IEEE J. Biomed. Health Informatics, 2021

Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
IEEE Trans. Cybern., 2021

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.
Medical Image Anal., 2021

Searching collaborative agents for multi-plane localization in 3D ultrasound.
Medical Image Anal., 2021

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

AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.
Medical Image Anal., 2021

<i>BrcaSeg</i>: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.
Genom. Proteom. Bioinform., 2021

Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework.
CoRR, 2021

Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences.
CoRR, 2021

Reciprocal Learning for Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Style Curriculum Learning for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Flip Learning: Erase to Segment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Generalize Ultrasound Image Segmentation Via Instant And Plug & Play Style Transfer.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
IEEE Trans. Medical Imaging, 2020

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2020

Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy.
IEEE Trans. Image Process., 2020

Hybrid descriptor for placental maturity grading.
Multim. Tools Appl., 2020

AutoPath: Image-Specific Inference for 3D Segmentation.
Frontiers Neurorobotics, 2020

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

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.
Comput. Methods Programs Biomed., 2020

Left ventricle quantification with sample-level confidence estimation via Bayesian neural network.
Comput. Medical Imaging Graph., 2020

Convolutional descriptors aggregation via cross-net for skin lesion recognition.
Appl. Soft Comput., 2020

Bridge Segmentation Performance Gap Via Evolving Shape Prior.
IEEE Access, 2020

Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Contrastive Rendering for Ultrasound Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Style-Invariant Cardiac Image Segmentation with Test-Time Augmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.
IEEE Trans. Medical Imaging, 2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.
IEEE Trans. Medical Imaging, 2019

Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning.
IEEE Trans. Medical Imaging, 2019

Dense Deconvolutional Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics, 2019

Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2019

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features.
IEEE Trans. Biomed. Eng., 2019

Multipurpose watermarking scheme via intelligent method and chaotic map.
Multim. Tools Appl., 2019

Multi-task learning for quality assessment of fetal head ultrasound images.
Medical Image Anal., 2019

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019

Segmentation of Multimodal Myocardial Images Using Shape-Transfer GAN.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Arterial Spin Labeling Images Synthesis via Locally-Constrained WGAN-GP Ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

FetusMap: Fetal Pose Estimation in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Left Ventricle Segmentation and Quantification with Attention-Enhanced Segmentation and Shape Correction.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Cardiac Motion Scoring Based on CNN with Attention Mechanism.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.
IEEE J. Biomed. Health Informatics, 2018

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
IEEE J. Biomed. Health Informatics, 2018

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Generalizing Deep Models for Ultrasound Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Attentional Features for Prostate Segmentation in Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Placental maturity grading via hybrid descriptors based on fisher vector.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images.
IEEE Trans. Medical Imaging, 2017

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images.
IEEE Trans. Medical Imaging, 2017

Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis.
IEEE J. Biomed. Health Informatics, 2017

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks.
IEEE Trans. Cybern., 2017

Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Cybern., 2017

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.
IEEE Trans. Cybern., 2017

Automatic cystocele severity grading in transperineal ultrasound by random forest regression.
Pattern Recognit., 2017

Multi-modal and multi-layout discriminative learning for placental maturity staging.
Pattern Recognit., 2017

Automatic placental maturity grading via hybrid learning.
Neurocomputing, 2017

Towards Automatic Semantic Segmentation in Volumetric Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

3D Convolutional Networks for Fully Automatic Fine-Grained Whole Heart Partition.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Class-Balanced Deep Neural Network for Automatic Ventricular Structure Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularization.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration.
IEEE Trans. Medical Imaging, 2016

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Adaptive ensemble manifold learning for neuroimaging retrieval.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Segmenting overlapping cervical cell in Pap smear images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Placental maturity evaluation via feature fusion and discriminative learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fetal facial standard plane recognition via very deep convolutional networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.
IEEE J. Biomed. Health Informatics, 2015

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning.
IEEE Trans. Biomed. Eng., 2015

Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform.
Signal Process., 2015

Saliency-driven image classification method based on histogram mining and image score.
Pattern Recognit., 2015

Building dynamic population graph for accurate correspondence detection.
Medical Image Anal., 2015

Multispectral Image Alignment With Nonlinear Scale-Invariant Keypoint and Enhanced Local Feature Matrix.
IEEE Geosci. Remote. Sens. Lett., 2015

Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multipurpose and intelligent watermarking scheme for medical data.
Proceedings of the 10th International Conference on Information, 2015

Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector.
Proceedings of the 10th International Conference on Information, 2015

2014
Reversible watermarking scheme for medical image based on differential evolution.
Expert Syst. Appl., 2014

Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration.
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014

Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014

Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Standard plane localization in ultrasound by radial component.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic recognition of fetal standard plane in ultrasound image.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Automatic grading of placental maturity based on LIOP and fisher vector.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Object recognition based on adapative bag of feature and discriminative learning.
Proceedings of the IEEE International Conference on Image Processing, 2013

Robust watermarking scheme for medical image using optimization method.
Proceedings of the 9th International Conference on Information, 2013

2012
A statistical approach for muscle fascicle orientation estimation in ultrasound images.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
A Virtual Reality Simulator for Ultrasound-Guided Biopsy Training.
IEEE Computer Graphics and Applications, 2011

2010
Learning Ultrasound-Guided Needle Insertion Skills through an Edutainment Game.
Trans. Edutainment, 2010

Particle-based simulation of blood flow and vessel wall interactions in virtual surgery.
Proceedings of the 2010 Symposium on Information and Communication Technology, 2010

2009
Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT.
Comput. Medical Imaging Graph., 2009

2008
Volumetric Ultrasound Panorama Based on 3D SIFT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008


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