Y. Zhan

发表

Increasing Efficiency of SVM by Adaptively Penalizing Outliers

Dinggang Shen, Yiqiang Zhan, D. Shen, 2005, EMMCVPR.

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

Yaozong Gao, Dinggang Shen, Yiqiang Zhan, 2014, IEEE Transactions on Medical Imaging.

Registering histological and MR images of prostate for image-based cancer detection.

D. Shen, C. Davatzikos, Y. Zhan, 2007, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Whole-Body PET/MR Imaging: Quantitative Evaluation of a Novel Model-Based MR Attenuation Correction Method Including Bone

G. Hermosillo, H. Quick, C. Geppert, 2015, The Journal of Nuclear Medicine.

Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain

G. Hermosillo, J. Babb, Y. Zhan, 2016, The Journal of Nuclear Medicine.

The Spectrum-Beamformer for Conventional B-Mode Ultrasound Imaging System: Principle, Validation, and Robustness.

Y. Zhan, Chen Jiang, Chengcheng Liu, 2022, Ultrasonic imaging.

Robust and Scalable Shape Prior Modeling via Sparse Representation and Dictionary Learning

Dimitris N. Metaxas, Y. Zhan, Shaoting Zhang, 2016 .

3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images

Y. Zhan, Yaozong Gao, Ying Wei, 2022, Frontiers in Oncology.

Computer-Assisted Medical Image Analysis Systems

Shu Liao, Gerardo Hermosillo, Marcos Salganicoff, 2015, Healthcare Data Analytics.

Automatic Lumbar Spondylolisthesis Measurement in CT Images

Shu Liao, Marcos Salganicoff, Yiqiang Zhan, 2016, IEEE Transactions on Medical Imaging.

Mining anatomical, physiological and pathological information from medical images

Gerardo Hermosillo, Yiqiang Zhan, Xiang Sean Zhou, 2012, SKDD.

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, PRCV.

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution pdf

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2022, IEEE Transactions on Medical Imaging.

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, MICCAI.

Targeted Prostate Biopsy Using Statistical Image Analysis

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2007, IEEE Transactions on Medical Imaging.

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI

Dinggang Shen, Yiqiang Zhan, Wenjun Shen, 2021, MLMI@MICCAI.

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction"

Lei Xiang, Qian Wang, Yiqiang Zhan, 2020, IEEE Trans. Biomed. Eng..

Visual detection of regional brain hypometabolism in cognitively impaired patients is independent of positron emission tomography-magnetic resonance attenuation correction method

Gerardo Hermosillo Valadez, J. Babb, Y. Zhan, 2018, World journal of nuclear medicine.

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Xuming He, Y. Zhan, Ni-zhuan Wang, 2022, ArXiv.

Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy

X. Zhou, Xiaohuan Cao, Y. Zhan, 2022, Nature Communications.

Patch-Based Techniques in Medical Imaging

Daniel Rueckert, Pierrick Coupé, Yiqiang Zhan, 2016, Lecture Notes in Computer Science.

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm

Y. Zhan, Shuhao Wang, Yuehua Li, 2022, European Radiology.

From point to surface: Hierarchical parsing of human anatomy in medical images using machine learning technologies

Shaoting Zhang, Y. Zhan, M. Dewan, 2016 .

Deformable segmentation via sparse representation and dictionary learning

Dimitris N. Metaxas, Shaoting Zhang, Yiqiang Zhan, 2012, Medical Image Anal..

3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models

Junzhou Huang, Dimitris N. Metaxas, Shaoting Zhang, 2012, MeshMed.

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

Yan Zhou, Dimitris N. Metaxas, Shaoting Zhang, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Towards robust and effective shape modeling: Sparse shape composition

Junzhou Huang, Dimitris N. Metaxas, Shaoting Zhang, 2012, Medical Image Anal..

Deformable Segmentation via Sparse Shape Representation

Junzhou Huang, Dimitris N. Metaxas, Shaoting Zhang, 2011, MICCAI.

Sparse shape composition: A new framework for shape prior modeling

Junzhou Huang, Dimitris N. Metaxas, Shaoting Zhang, 2011, CVPR 2011.

Modeling essential connections in obsessive–compulsive disorder patients using functional MRI

Yiqiang Zhan, Zhong Xue, Feng Shi, 2020, Brain and behavior.

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph

Dinggang Shen, Yiqiang Zhan, Qian Wang, 2019, IEEE Journal of Biomedical and Health Informatics.

Semantics and CBIR: a medical imaging perspective

Sonja Zillner, Manuel Möller, Michael Sintek, 2008, CIVR '08.

uRP: An integrated research platform for one-stop analysis of medical images

F. Shi, X. Zhou, Y. Zhan, 2023, Frontiers in Radiology.

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation

Qian Wang, Yiqiang Zhan, Lichi Zhang, 2019, MLMI@MICCAI.

Segmentation of CT Thoracic Organs by Multi-resolution VB-nets

Yaozong Gao, Xiang Zhou, Yiqiang Zhan, 2019, SegTHOR@ISBI.

Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method

Dinggang Shen, Yiqiang Zhan, D. Shen, 2006, IEEE Transactions on Medical Imaging.

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray

Qian Wang, Ying Zhou, Yiqiang Zhan, 2019, MICCAI.

Adaptive geodesic transform for segmentation of vertebrae on CT images

Shu Liao, Bilwaj Gaonkar, Gerardo Hermosillo, 2014, Medical Imaging.

Advanced nanoengineered—customized point-of-care tools for prostate-specific antigen

Y. Zhan, Mohammad Khalid, Arshid Numan, 2021, Microchimica Acta.

An adaptive error penalization method for training an efficient and generalized SVM

Dinggang Shen, Yiqiang Zhan, D. Shen, 2006, Pattern Recognit..

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2006, MICCAI.

Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection

Yaozong Gao, Yiqiang Zhan, Dijia Wu, 2019, MLMI@MICCAI.

Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection

Yiqiang Zhan, Maneesh Dewan, Arun Krishnan, 2011, IEEE Transactions on Medical Imaging.

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction

Yong Chen, Yiqiang Zhan, Weili Lin, 2019, IEEE Transactions on Biomedical Engineering.

Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation

Dimitris N. Metaxas, Kang Li, Liang Zhao, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Design efficient support vector machine for fast classification

Dinggang Shen, Yiqiang Zhan, D. Shen, 2005, Pattern Recognit..

Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model

Yiqiang Zhan, Maneesh Dewan, Martin Harder, 2012, MICCAI.

Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

Yiqiang Zhan, Arun Krishnan, Xiang Sean Zhou, 2008, MICCAI.

Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease

Yaozong Gao, Xiang Zhou, Yiqiang Zhan, 2019, Medical Imaging.

Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks

Liang Zhao, Yiqiang Zhan, Matthias Fenchel, 2016, Patch-MI@MICCAI.

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

Shaoting Zhang, Yiqiang Zhan, Bin Kong, 2016, MICCAI.

Segmentation of prostate boundaries from ultrasound images using statistical shape model

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2003, IEEE Transactions on Medical Imaging.

Cross-Modality Vertebrae Localization and Labeling Using Learning-Based Approaches

Yiqiang Zhan, Xiang Sean Zhou, Bing Jian, 2015 .

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

Shu Liao, Dimitris N. Metaxas, Shaoting Zhang, 2016, IEEE Transactions on Medical Imaging.

Bodypart Recognition Using Multi-stage Deep Learning

Shu Liao, Dimitris N. Metaxas, Yoshihisa Shinagawa, 2015, IPMI.

Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation

Qin Liu, Yiqiang Zhan, Dijia Wu, 2019, MICCAI.

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Prediction of MCI Progression

Yiqiang Zhan, Bin Xiao, Hao Wei, 2019, MICCAI.

Cross Modality Deformable Segmentation Using Hierarchical Clustering and Learning

Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou, 2009, MICCAI.

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning

Xiang Zhou, Yiqiang Zhan, Qian Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction

Xiaoping Zhou, Shu Liao, Y. Zhan, 2023, Cell reports. Medicine.

Ray theory-based compounded plane wave ultrasound imaging for aberration corrected transcranial imaging: Phantom experiments and simulations.

Y. Zhan, Kailiang Xu, Chen Jiang, 2023, Ultrasonics.

ADAPTIVE SHAPE PRIOR MODELING VIA ONLINE DICTIONARY LEARNING

Yan Zhou, Dimitris N. Metaxas, Yiqiang Zhan, 2014 .

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning

Y. Zhan, Jun Wang, Xin Wang, 2023, Comput. Biol. Medicine.

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information

Dinggang Shen, Yong Chen, Qian Wang, 2018, MICCAI.

Robust algorithms for anatomic plane primitive detection in MR

Yiqiang Zhan, Maneesh Dewan, Xiang Sean Zhou, 2009, Medical Imaging.

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

Ting Chen, Shaoting Zhang, Yiqiang Zhan, 2011, MICCAI.

Document Representation Learning for Patient History Visualization

Halid Ziya Yerebakan, Yoshihisa Shinagawa, Parmeet S. Bhatia, 2018, COLING.

Brain PET Attenuation Correction without CT: An Investigation

Gerardo Hermosillo, Yiqiang Zhan, Maneesh Dewan, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Shape Prior Modeling Using Sparse Representation and Online Dictionary Learning

Yan Zhou, Dimitris N. Metaxas, Shaoting Zhang, 2012, MICCAI.

A novel motion estimation technique: patch-matching

Yiqiang Zhan, Feihu Qi, Y. Zhan, 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

A Novel M otion Estimation Technique: Patch-M atching

Yiqiang Zhan, Feihu Qi, Tianming Liu, 2000 .

Patch-Based Techniques in Medical Imaging

Pierrick Coupé, Guorong Wu, Wenjia Bai, 2018, Lecture Notes in Computer Science.

Spatial and depth weighted neural network for diagnosis of Alzheimer’s disease

Feng Shi, Yiqiang Zhan, Xiang Sean Zhou, 2019, Medical Imaging.

Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks

Shu Liao, Yu Zhao, Tianming Liu, 2018, MICCAI.