Gongning Luo
Orcid: 0000-0003-3662-0335
According to our database1,
Gongning Luo
authored at least 44 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning.
Medical Image Anal., December, 2023
Comput. Biol. Medicine, November, 2023
Medical Image Anal., October, 2023
Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography.
IEEE J. Biomed. Health Informatics, September, 2023
Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network.
Briefings Bioinform., May, 2023
CoRR, 2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
CoRR, 2023
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023
Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.
IEEE J. Biomed. Health Informatics, 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
Comput. Methods Programs Biomed., 2022
Comput. Medical Imaging Graph., 2022
Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Dynamically constructed network with error correction for accurate ventricle volume estimation.
Medical Image Anal., 2020
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
Medical Image Anal., 2020
Medical Image Anal., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data.
Proceedings of the 46th Computing in Cardiology, 2019
Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle.
Proceedings of the 46th Computing in Cardiology, 2019
A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.
IEEE Trans. Medical Imaging, 2018
IEEE Trans. Biomed. Eng., 2018
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance.
Proceedings of the Computing in Cardiology, 2018
2016
J. Comput. Des. Eng., 2016
A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
In Silico Investigation of Spontaneous Calcium Release on Premature Ventricular Contractions in Human Ventricles.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Cardiac left ventricular volumes prediction method based on atlas location and deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
BMC Bioinform., 2015