Honghai Zhang

发表

A real-time 3-dimensional digital Doppler method for measurement of flow rate and volume through mitral valve in children: a validation study compared with magnetic resonance imaging.

M. Sonka, E. Schelbert, Xiaokui Li, 2005, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Increased contrast enhancement of the parent vessel of unruptured intracranial aneurysms in 7T MR imaging

V. Magnotta, M. Sonka, C. Derdeyn, 2020, Journal of NeuroInterventional Surgery.

Heart rate and early progression of cardiac allograft vasculopathy: A prospective study using highly automated 3‐D optical coherence tomography analysis

A. Wahle, M. Sonka, J. Kautzner, 2019, Clinical transplantation.

Early detection of cardiac allograft vasculopathy using highly automated 3-dimensional optical coherence tomography analysis.

A. Wahle, M. Sonka, J. Kautzner, 2018, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

Multi-layer OCT segmentation in the presence of layer-disrupting pathology: Just-Enough Interaction Approach

Milan Sonka, Honghai Zhang, Andreas Wahle, 2018 .

Just Enough Interaction for Fast Minimally Interactive Correction of 4D Segmentation of Knee MRI

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2017 .

Ultrasonics, Ferroelectrics, and Frequency Control

Nico Karssemeijer, Milan Sonka, Moshe Kam, 2011 .

Accurate Fully Automated 4D Segmentation of Osteoarthritic Knee MRI

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2017 .

(395) – Highly Automated Analysis of Intimal and Medial Thickness in Heart-Transplant Coronary OCT Facilitates Longitudinal Studies of CAV Progression

Milan Sonka, Andreas Wahle, Honghai Zhang, 2017 .

Semi-automated intracranial aneurysm segmentation and neck detection

Nam H. Le, M. Sonka, Honghai Zhang, 2022, Medical Imaging.

RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI

Milan Sonka, Ipek Oguz, Honghai Zhang, 2014, Journal of Neuroscience Methods.

Radiomic Based Machine Learning Performance for a Three Class Problem in Neuro-Oncology: Time to Test the Waters?

Nam H. Le, M. Sonka, S. Priya, 2021, Cancers.

Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomics

Nam H. Le, M. Sonka, S. Priya, 2021, Scientific Reports.

Neural network and principal component analyses of highly variable myocardial mechanical waveforms derived from echocardiographic ultrasound images

Honghai Zhang, M. Sonka, A. Manduca, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT‐Assessed Cardiac Allograft Vasculopathy Progression

Zhi Chen, Milan Sonka, Andreas Wahle, 2018, Medical Image Anal..

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative

Milan Sonka, Ipek Oguz, Satyananda Kashyap, 2016, MICCAI.

Quantitative Assessment and Prediction of Coronary Plaque Development Using Serial Intravascular Ultrasound and Virtual Histology

Milan Sonka, Andreas Wahle, Ling Zhang, 2020 .

FilterNet: A Neighborhood Relationship Enhanced Fully Convolutional Network for Calf Muscle Compartment Segmentation pdf

Milan Sonka, Honghai Zhang, Zhi Chen, 2020, ArXiv.

Multi-layer 3D Simultaneous Retinal OCT Layer Segmentation: Just-Enough Interaction for Routine Clinical Use

Milan Sonka, Andreas Wahle, Kyungmoo Lee, 2017 .

Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network

Milan Sonka, Honghai Zhang, Zhi Chen, 2020, Comput. Medical Imaging Graph..

Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis

Milan Sonka, Andreas Wahle, Honghai Zhang, 2006, CVAMIA.

Three-dimensional and Four-dimensional Cardiopulmonary Image Analysis

Milan Sonka, Andreas Wahle, Mark E. Olszewski, 2010 .

Real-time three-dimensional digital Doppler method based on Gaussian control surface for measurement of flow volumes

Milan Sonka, Honghai Zhang, Liping Bu, 2004, CARS.

4-D Cardiac MR Image Analysis: Left and Right Ventricular Morphology and Function

Milan Sonka, Andreas Wahle, Honghai Zhang, 2010, IEEE Transactions on Medical Imaging.

Rapid full volume data acquisition by real-time 3-dimensional echocardiography for assessment of left ventricular indexes in children: a validation study compared with magnetic resonance imaging.

T. Scholz, M. Sonka, L. Mahoney, 2005, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis

Milan Sonka, Andreas Wahle, Honghai Zhang, 2009, Medical Image Anal..

Computed Tomography Perfusion–Based Prediction of Core Infarct and Tissue at Risk: Can Artificial Intelligence Help Reduce Radiation Exposure?

M. Sonka, C. Derdeyn, G. Bathla, 2021, Stroke.

Radiomics-Based Differentiation between Glioblastoma, CNS Lymphoma, and Brain Metastases: Comparing Performance across MRI Sequences and Machine Learning Models

Nam H. Le, M. Sonka, S. Priya, 2021 .

Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques

Nam H. Le, M. Sonka, S. Priya, 2021, European Radiology.

Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative

Milan Sonka, Satyananda Kashyap, Honghai Zhang, 2018, IEEE Transactions on Medical Imaging.

Detecting Early Cardiac Allograft Vasculopathy Using Highly Automated 3D Coronary Optical Coherence Tomography Segmentation Analysis

A. Wahle, M. Sonka, J. Kautzner, 2018 .