Yiqiang Zhan

Orcid: 0000-0001-8391-2555

According to our database1, Yiqiang Zhan authored at least 98 papers between 2000 and 2023.

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Bibliography

2023
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.
IEEE Trans. Medical Imaging, November, 2023

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.
Comput. Biol. Medicine, June, 2023

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.
IEEE Trans. Medical Imaging, February, 2023

An Energy-Efficient Flexible Multi-Modal Wireless Sweat Sensing System Based on Laser Induced Graphene.
Sensors, 2023

Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.
CoRR, 2022

Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction".
IEEE Trans. Biomed. Eng., 2020

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.
IEEE Trans. Biomed. Eng., 2019

Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Spatial and depth weighted neural network for diagnosis of Alzheimer's disease.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets.
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Universal and Convenient Optimization Strategies for Three-Terminal Memristors.
IEEE Access, 2018

Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network.
IEEE Access, 2018

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A deep-learning based automatic pulmonary nodule detection system.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Document Representation Learning for Patient History Visualization.
Proceedings of the COLING 2018, 2018

2017
Real time coarse orientation detection in MR scans using multi-planar deep convolutional neural networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Automatic lumbar spine measurement in CT images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 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

Automatic Lumbar Spondylolisthesis Measurement in CT Images.
IEEE Trans. Medical Imaging, 2016

Hierarchical Latent Word Clustering.
CoRR, 2016

Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks.
Proceedings of the Patch-Based Techniques in Medical Imaging, 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

2015
A Steering Engine: Learning 3-D Anatomy Orientation Using Regression Forests.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Bodypart Recognition Using Multi-stage Deep Learning.
Proceedings of the Information Processing in Medical Imaging, 2015

Computer-Assisted Medical Image Analysis Systems.
Proceedings of the Healthcare Data Analytics., 2015

2014
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy.
IEEE Trans. Medical Imaging, 2014

Sparse appearance model-based algorithm for automatic segmentation and identification of articulated hand bones.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Multi-view learning based robust collimation detection in digital radiographs.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Adaptive geodesic transform for segmentation of vertebrae on CT images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

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

Brain PET Attenuation Correction without CT: An Investigation.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

MR prostate segmentation via distributed discriminative dictionary (DDD) learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Mining anatomical, physiological and pathological information from medical images.
SIGKDD Explor., 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

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

Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Information Forests.
Proceedings of the 2012 Information Theory and Applications Workshop, 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

2011
Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection.
IEEE Trans. Medical Imaging, 2011

Deformable Segmentation via Sparse Shape Representation.
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

Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection.
Proceedings of the Information Processing in Medical Imaging, 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
Redundancy, redundancy, redundancy: the three keys to highly robust anatomical parsing in medical images.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
A comparison study of atlas-based image segmentation: the advantage of multi-atlas based on shape clustering.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Robust anatomy detection from CT topograms.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Robust algorithms for anatomic plane primitive detection in MR.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Non-doped red emission: A solution for bias-independent red emission.
Displays, 2008

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

An information theoretic view of the scheduling problem in whole-body CAD.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Joint detection and localization of multiple anatomical landmarks through learning.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Semantics and CBIR: a medical imaging perspective.
Proceedings of the 7th ACM International Conference on Image and Video Retrieval, 2008

2007
Targeted Prostate Biopsy Using Statistical Image Analysis.
IEEE Trans. Medical Imaging, 2007

2006
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.
IEEE Trans. Medical Imaging, 2006

An adaptive error penalization method for training an efficient and generalized SVM.
Pattern Recognit., 2006

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2005
Design efficient support vector machine for fast classification.
Pattern Recognit., 2005

Increasing Efficiency of SVM by Adaptively Penalizing Outliers.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
An Efficient Method for Deformable Segmentation of 3D US Prostate Images.
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004

Deformable Registration of Male Pelvises in CT Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface.
Proceedings of the Computational and Information Science, First International Symposium, 2004

2003
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model.
IEEE Trans. Medical Imaging, 2003

Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2001
Rapid Object Tracking on Compressed Video.
Proceedings of the Advances in Multimedia Information Processing, 2001

2000
Novel approach of combining temporal segmentation results to the region-binding process for separating moving objects from still background.
Proceedings of the Visual Communications and Image Processing 2000, 2000


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