SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. - Xingyu Yang; Mingyuan Meng; Shanlin Xiao; Zhiyi Yu (ICPR, 2020)

Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. - Mingyuan Meng; Xingyu Yang; Shanlin Xiao; Zhiyi Yu (IJCNN, 2020)

BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network. - Mingyuan Meng; Xingyu Yang; Shanlin Xiao; Zhiyi Yu (CoRR, 2020)

High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow. - Mingyuan Meng; Shaojun Liu (CoRR, 2020)

Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. - Mingyuan Meng; Yige Peng; Lei Bi 001; Jinman Kim (HECKTOR@MICCAI, 2021)

Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. - Bingxin Gu; Mingyuan Meng; Lei Bi 001; Jinman Kim; David Dagan Feng; Shaoli Song (CoRR, 2021)

High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. - Mingyuan Meng; Xingyu Yang; Lei Bi 001; Jinman Kim; Shanlin Xiao; Zhiyi Yu (Neurocomputing, 2021)

Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. - Mingyuan Meng; Lei Bi 001; David Feng 003; Jinman Kim (BrainLes@MICCAI, 2022)

Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. - Mingyuan Meng; Lei Bi 001; Dagan Feng 001; Jinman Kim (MICCAI (6), 2022)

Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. - Mingyuan Meng; Lei Bi 001; Dagan Feng 001; Jinman Kim (HECKTOR@MICCAI, 2022)

Enhancing medical image registration via appearance adjustment networks. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (NeuroImage, 2022)

DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. - Mingyuan Meng; Bingxin Gu; Lei Bi 001; Shaoli Song; David Dagan Feng; Jinman Kim (IEEE J. Biomed. Health Informatics, 2022)

Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; David Dagan Feng; Jinman Kim (DICTA, 2023)

Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Feng 003; Jinman Kim (MICCAI (6), 2023)

Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. - Mingyuan Meng; Lei Bi 001; Michael J. Fulham; David Dagan Feng; Jinman Kim (MICCAI (10), 2023)

DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. - Mingyuan Meng; Bingxin Gu; Michael J. Fulham; Shaoli Song; Dagan Feng 001; Lei Bi 001; Jinman Kim (CoRR, 2023)

Full-resolution MLPs Empower Medical Dense Prediction. - Mingyuan Meng; Yuxin Xue; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2023)

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. - Mingyuan Meng; Dagan Feng 001; Lei Bi 001; Jinman Kim (CVPR, 2024)

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. - Xiaoshuang Li; Mingyuan Meng; Zimo Huang; Lei Bi 001; Eduardo Delamare; David Dagan Feng; Bin Sheng 001; Jinman Kim (MICCAI (7), 2024)

Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; David Dagan Feng; Jinman Kim (MICCAI (8), 2024)

Enhancing medical vision-language contrastive learning via inter-matching relation modelling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

Dual-modal Dynamic Traceback Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. - Xiaoshuang Li; Zimo Huang; Mingyuan Meng; Eduardo Delamare; Dagan Feng 001; Lei Bi 001; Bin Sheng 001; Lingyong Jiang; Bo Li; Jinman Kim (CoRR, 2024)

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments. - Mingjian Li; Mingyuan Meng; Shuchang Ye; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention. - Mingyuan Meng; Michael J. Fulham; Lei Bi 001; Jinman Kim (CoRR, 2024)

AutoFuse: Automatic fusion networks for deformable medical image registration. - Mingyuan Meng; Michael J. Fulham; Dagan Feng 001; Lei Bi 001; Jinman Kim (Pattern Recognit., 2025)

MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. - Shuchang Ye; Usman Naseem; Mingyuan Meng; David D. Feng; Jinman Kim (CoRR, 2025)

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling. - Mingjian Li; Mingyuan Meng; Michael J. Fulham; David Dagan Feng; Lei Bi 001; Jinman Kim (IEEE Trans. Medical Imaging, 2025)

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. - Shuchang Ye; Usman Naseem; Mingyuan Meng; Jinman Kim (CoRR, 2025)