Mingyuan Meng - RankMe

43 papers A* 1B 2Misc 1Journal 31Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. CoRR Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim
2025	J	`jnl`	AutoFuse: Automatic fusion networks for deformable medical image registration. Pattern Recognit. Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
2025	J	`jnl`	Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling. IEEE Trans. Medical Imaging Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
2025	J	`jnl`	MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. CoRR Shuchang Ye, Usman Naseem, Mingyuan Meng, David D. Feng, Jinman Kim
2025	J	`jnl`	Toward Next-generation Medical Vision Backbones: Modeling Finer-grained Long-range Visual Dependency. CoRR Mingyuan Meng
2024	—	`conf`	3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, David Dagan Feng, Bin Sheng, Jinman Kim
2024	J	`jnl`	3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim
2024	J	`jnl`	3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim
2024	J	`jnl`	Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention. CoRR Mingyuan Meng, Michael J. Fulham, Lei Bi, Jinman Kim
2024	A*	`conf`	Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CVPR Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
2024	J	`jnl`	Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim
2024	J	`jnl`	Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
2024	—	`conf`	Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. MICCAI (8) Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim
2024	J	`jnl`	Enhancing medical vision-language contrastive learning via inter-matching relation modelling. CoRR Mingjian Li, Mingyuan Meng, Michael J. Fulham, David Dagan Feng, Lei Bi, Jinman Kim
2024	J	`jnl`	Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments. CoRR Mingjian Li, Mingyuan Meng, Shuchang Ye, David Dagan Feng, Lei Bi, Jinman Kim
2024	J	`jnl`	SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. CoRR Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim
2023	J	`jnl`	AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim
2023	J	`jnl`	DeepMSS: Deep Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images. CoRR Mingyuan Meng, Bingxin Gu, Michael J. Fulham, Shaoli Song, Dagan Feng, Lei Bi, Jinman Kim
2023	J	`jnl`	Full-resolution MLPs Empower Medical Dense Prediction. CoRR Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim
2023	—	`conf`	Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) Mingyuan Meng, Lei Bi, Michael J. Fulham, David Feng, Jinman Kim
2023	J	`jnl`	Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. CoRR Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2023	—	`conf`	Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2023	J	`jnl`	Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration. CoRR Mingyuan Meng, Lei Bi, Michael J. Fulham, Dagan Feng, Jinman Kim
2023	Misc	`conf`	Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim
2022	—	`conf`	Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI Mingyuan Meng, Lei Bi, David Feng, Jinman Kim
2022	J	`jnl`	Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022	J	`jnl`	DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT. IEEE J. Biomed. Health Informatics Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
2022	J	`jnl`	Enhancing medical image registration via appearance adjustment networks. NeuroImage Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2022	—	`conf`	Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022	J	`jnl`	Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022	—	`conf`	Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2022	J	`jnl`	Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim
2021	J	`jnl`	DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT. CoRR Mingyuan Meng, Bingxin Gu, Lei Bi, Shaoli Song, David Dagan Feng, Jinman Kim
2021	J	`jnl`	Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim
2021	J	`jnl`	High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing Mingyuan Meng, Xingyu Yang, Lei Bi, Jinman Kim, Shanlin Xiao, Zhiyi Yu
2021	—	`conf`	Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI Mingyuan Meng, Yige Peng, Lei Bi, Jinman Kim
2021	J	`jnl`	Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics. CoRR Bingxin Gu, Mingyuan Meng, Lei Bi, Jinman Kim, David Dagan Feng, Shaoli Song
2020	J	`jnl`	BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network. CoRR Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
2020	J	`jnl`	High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow. CoRR Mingyuan Meng, Shaojun Liu
2020	B	`conf`	SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. ICPR Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
2020	J	`jnl`	SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. CoRR Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu
2020	B	`conf`	Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. IJCNN Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu
2020	J	`jnl`	Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. CoRR Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu