Gongning Luo

发表

Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography

Gongning Luo, Kuanquan Wang, Wei Wang, 2020, MICCAI.

ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment

Wei Wang, Kuanquan Wang, Gongning Luo, 2022, 2206.06623.

A contrastive consistency semi-supervised left atrium segmentation model

Wei Wang, Kuanquan Wang, Gongning Luo, 2022, Comput. Medical Imaging Graph..

A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model

Kuanquan Wang, Henggui Zhang, Gongning Luo, 2019, 2019 Computing in Cardiology (CinC).

Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound

Kuanquan Wang, Gongning Luo, Haitao Shang, 2022, European Radiology.

The Role of CaMKII Overexpression and Oxidation in Atrial Fibrillation—A Simulation Study

Kuanquan Wang, Henggui Zhang, Gongning Luo, 2020, Frontiers in Physiology.

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge

Víctor M. Campello, D. Rueckert, Maxime Sermesant, 2020, Medical Image Anal..

Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound

Kuanquan Wang, Gongning Luo, Haitao Shang, 2022, European Radiology.

KIEGLFN: A unified acne grading framework on face images

Gongning Luo, Zhaoyang Ma, Jingchi Jiang, 2022, Comput. Methods Programs Biomed..

Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2017, Front. Physiol..

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods pdf

Riccardo Muradore, Francesco Setti, Gongning Luo, 2021, ArXiv.

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge

Jun Liu, Kuanquan Wang, B. MacIntosh, 2023, ArXiv.

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2018, MICCAI.

A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 Computing in Cardiology Conference (CinC).

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

Gongning Luo, Kuanquan Wang, Chao Ma, 2018, IEEE Transactions on Medical Imaging.

Multi-step Cascaded Networks for Brain Tumor Segmentation pdf

Gongning Luo, Kuanquan Wang, Xiangyu Li, 2019, BrainLes@MICCAI.

Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Gongning Luo, Kuanquan Wang, Wei Wang, 2021, MICCAI.

Cancelable biometric authentication system based on ECG

Kuanquan Wang, Gongning Luo, M. Hammad, 2018, Multimedia Tools and Applications.

Neuron anatomy structure reconstruction based on a sliding filter

Gongning Luo, Kuanquan Wang, Jinseok Chae, 2015, BMC Bioinformatics.

A left ventricular segmentation method on 3D echocardiography using deep learning and snake

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 Computing in Cardiology Conference (CinC).

A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 Computing in Cardiology Conference (CinC).

A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI

Gongning Luo, Kuanquan Wang, Chao Ma, 2017, BioMed research international.

In silico investigation of spontaneous calcium release on premature ventricular contractions in human ventricles

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 Computing in Cardiology Conference (CinC).

A deep learning network for right ventricle segmentation in short-axis MRI

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 Computing in Cardiology Conference (CinC).

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge

K. Punithakumar, Wei Wang, Kuanquan Wang, 2023, ArXiv.

A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2018, BioMed research international.

Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network

Gongning Luo, Qiang Yang, Xin Gao, 2023, Briefings Bioinform..

A graph-based method for fitting planar B-spline curves with intersections

Gongning Luo, Kuanquan Wang, Pengbo Bo, 2016, J. Comput. Des. Eng..

Cardiac left ventricular volumes prediction method based on atlas location and deep learning

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

Wei Wang, Gongning Luo, Kuanquan Wang, 2020, Medical Image Anal..

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

Kuanquan Wang, Gongning Luo, Wei Wang, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions

W. Wang, Kuanquan Wang, P. Xuan, 2023, Bioinformatics advances.

An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image

Gongning Luo, Kuanquan Wang, Wei Wang, 2019, STACOM@MICCAI.

Dynamically constructed network with error correction for accurate ventricle volume estimation

Bo Chen, Wei Wang, Gongning Luo, 2020, Medical Image Anal..

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2018, IEEE Transactions on Biomedical Engineering.

Uncertainty-guided symmetric multi-level supervision network for 3D left atrium segmentation in late gadolinium-enhanced MRI.

Kuanquan Wang, S. Li, Gongning Luo, 2022, Medical physics.

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

Gongning Luo, Kuanquan Wang, Shuo Li, 2019, Medical Image Anal..

A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data

Kuanquan Wang, Gongning Luo, Shaodong Cao, 2019, 2019 Computing in Cardiology (CinC).

A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on CMR

Henggui Zhang, Gongning Luo, Kuanquan Wang, 2018, 2018 Computing in Cardiology Conference (CinC).

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation

Kuanquan Wang, Gongning Luo, Wei Wang, 2021, IEEE Journal of Biomedical and Health Informatics.

TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography

Gongning Luo, Shaodong Cao, Suyu Dong, 2023, IEEE Journal of Translational Engineering in Health and Medicine.

Curriculum label distribution learning for imbalanced medical image segmentation

Kuanquan Wang, Gongning Luo, Wei Wang, 2023, Medical Image Anal..

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image

Gongning Luo, Kuanquan Wang, Shuo Li, 2019, MICCAI.

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification

Gongning Luo, Wei Wang, Shuo Li, 2023, 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins

Gongning Luo, Suyu Dong, Longpeng Xu, 2024, Bioinformatics.

Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography

Kuanquan Wang, Gongning Luo, Wei Wang, 2023, IEEE Journal of Biomedical and Health Informatics.

Cancelable biometric authentication system based on ECG

Mohamed Hammad, Gongning Luo, Kuanquan Wang, 2018, Multimedia Tools and Applications.

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle

Kuanquan Wang, Henggui Zhang, Gongning Luo, 2019, 2019 Computing in Cardiology (CinC).

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses

Gongning Luo, Suyu Dong, Xin Gao, 2024, Briefings Bioinform..