Gongning Luo
Orcid: 0000-0003-3662-0335
According to our database1,
Gongning Luo authored at least 106 papers
between 2015 and 2026.
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Bibliography
2026
IEEE Trans. Medical Imaging, June, 2026
Interference-Free Causality Learning Promotes Cross-Level, Fine-Grained Diagnosis of Coronary Artery Disease in Coronary CT Angiography.
IEEE Trans. Medical Imaging, May, 2026
CoRR, May, 2026
HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.
Nat. Comput. Sci., April, 2026
Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2026
MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining.
CoRR, February, 2026
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos.
CoRR, February, 2026
CoRR, February, 2026
Ctfnet: toward high generalization medical image segmentation via coarse-to-fine structures for multi-center datasets.
Vis. Comput., January, 2026
CoRR, January, 2026
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.
Medical Image Anal., 2026
SCULPT: Semantic-aware causal prompt tuning for out-of-distribution detection of whole slide images.
Knowl. Based Syst., 2026
PLATO: ProbabiListic hierArchical mulTi-head mOdel for plug-and-play ambiguous medical image segmentation.
Knowl. Based Syst., 2026
Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI.
Inf. Fusion, 2026
Masked graph convolutional neural network for medical image segmentation with anatomical priors.
Neurocomputing, 2026
Topology-aware cross-modal learning with dynamic gradient modulation for survival prediction.
Expert Syst. Appl., 2026
GL 2 T -Diff: Medical image translation via spatial-frequency fusion diffusion models.
Comput. Vis. Image Underst., 2026
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Resdiff: Residual Diffusion Model for Conditional Distribution Learning in Medical Image Segmentation.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
BEA-CACE: branch-endpoint-aware double-DQN for coronary artery centerline extraction in CT angiography images.
Int. J. Comput. Assist. Radiol. Surg., October, 2025
Improving Representation of High-Frequency Components for Medical Visual Foundation Models.
IEEE Trans. Medical Imaging, August, 2025
CoRR, July, 2025
A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.
Medical Biol. Eng. Comput., June, 2025
Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow.
CoRR, June, 2025
IEEE J. Biomed. Health Informatics, May, 2025
IEEE Trans. Fuzzy Syst., May, 2025
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge.
CoRR, January, 2025
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.
Briefings Bioinform., January, 2025
THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applications.
PLoS Comput. Biol., 2025
MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction.
Medical Image Anal., 2025
DM3diff: A novel multi-center, multi-modality and multi-source medical image segmentation framework based on DWT embeded diffusion model.
Knowl. Based Syst., 2025
TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling.
J. Biomed. Informatics, 2025
Comput. Medical Imaging Graph., 2025
Comput. Medical Imaging Graph., 2025
Advancing electrocardiogram synthesis: Analyzing key metrics for enhanced evaluation.
Comput. Biol. Medicine, 2025
A 3D self-configuring hybrid transformer with multi-task learning for 3D automated breast ultrasound segmentation.
Comput. Biol. Medicine, 2025
Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning.
Comput. Biol. Medicine, 2025
TCRdesign: an antigen-specific generative language model for <i>de novo</i> design of T-cell receptors.
Briefings Bioinform., 2025
A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
CLEAR-Net: A Discretization-Aware Framework for Scale and Domain Adaptive Metal Artifact Reduction in CT.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
A Dual-Domain Framework with Wavelet Attention for Cardiac Ultrasound Image Quality Assessment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
FMPNet: A Multi-Features Fusion Framework for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Locally Advanced Rectal Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Synergistic Multi-Task Learning for a Unified Framework of Intelligent Coronary Artery Disease Reporting and Data System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.
Briefings Bioinform., July, 2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation.
Medical Image Anal., 2024
CoRR, 2024
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.
CoRR, 2024
DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins.
Bioinform., 2024
Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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
A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence.
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
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation.
CoRR, 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