Mingyuan Meng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Image Registration

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR (2024)
Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR (2024)
Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR (2024)
Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA (2023)
Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) (2023)
Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim
Full-resolution MLPs Empower Medical Dense Prediction. CoRR (2023)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) (2023)
Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim
DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR (2023)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR (2022)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259 (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR (2022)
Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) (2022)
Mingyuan Meng, Lei Bi, David Feng, Jinman Kim
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI (2022)
Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI (2021)
Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441 (2021)
Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. CoRR (2021)
Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR (2021)
Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. CoRR (2021)
Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. CoRR (2020)
Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. ICPR (2020)
Mingyuan Meng, Shaojun Liu
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow. CoRR (2020)
Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. CoRR (2020)
Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. IJCNN (2020)
Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network. CoRR (2020)