Mingyuan Meng

According to our database, Mingyuan Meng authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction.

Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, 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, Jinman Kim

CoRR, 2024

Dual-modal Dynamic Traceback Learning for Medical Report Generation.

Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim

CoRR, 2024

Enhancing medical vision-language contrastive learning via inter-matching relation modelling.

Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks.

Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration.

Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Full-resolution MLPs Empower Medical Dense Prediction.

Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim

CoRR, 2023

AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration.

Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim

CoRR, 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, Lei Bi, Jinman Kim

CoRR, 2023

Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration.

Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer.

Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation.

Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

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, Shaoli Song, David Dagan Feng, Jinman Kim

IEEE J. Biomed. Health Informatics, 2022

Enhancing medical image registration via appearance adjustment networks.

Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim

NeuroImage, 2022

Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer.

Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning.

Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.

Mingyuan Meng, Lei Bi, David Feng, Jinman Kim

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning.

Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu

Neurocomputing, 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, Jinman Kim, David Dagan Feng, Shaoli Song

CoRR, 2021

Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer.

Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

2020

High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow.

Mingyuan Meng, Shaojun Liu

CoRR, 2020

BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network.

Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu

CoRR, 2020

Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks.

Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs.

Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu

Proceedings of the 25th International Conference on Pattern Recognition, 2020