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Mingyuan Meng
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2020 – today
- 2024
- [c12]Mingyuan Meng
, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CVPR 2024: 9645-9654 - [c11]Xiaoshuang Li
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. MICCAI (7) 2024: 25-34 - [c10]Shuchang Ye
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. MICCAI (8) 2024: 242-252 - [i21]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 abs/2401.10501 (2024) - [i20]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
Dual-modal Dynamic Traceback Learning for Medical Report Generation. CoRR abs/2401.13267 (2024) - [i19]Mingyuan Meng, Dagan Feng, Lei Bi, Jinman Kim:
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration. CoRR abs/2406.00123 (2024) - [i18]Xiaoshuang Li, Mingyuan Meng, Zimo Huang, Lei Bi, Eduardo Delamare, Dagan Feng, Bin Sheng, Jinman Kim:
3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks. CoRR abs/2408.01292 (2024) - [i17]Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim:
SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. CoRR abs/2409.04758 (2024) - [i16]Xiaoshuang Li, Zimo Huang, Mingyuan Meng, Eduardo Delamare, Dagan Feng, Lei Bi, Bin Sheng, Lingyong Jiang, Bo Li, Jinman Kim:
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction. CoRR abs/2409.18701 (2024) - 2023
- [c9]Shuchang Ye, Mingyuan Meng
Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. DICTA 2023: 251-257 - [c8]Mingyuan Meng
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer. MICCAI (6) 2023: 400-410 - [c7]Mingyuan Meng
Non-iterative Coarse-to-Fine Transformer Networks for Joint Affine and Deformable Image Registration. MICCAI (10) 2023: 750-760 - [i15]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 abs/2305.09946 (2023) - [i14]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 abs/2307.03421 (2023) - [i13]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 abs/2307.03427 (2023) - [i12]Mingyuan Meng, Michael J. Fulham, Dagan Feng, Lei Bi, Jinman Kim:
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration. CoRR abs/2309.05271 (2023) - [i11]Mingyuan Meng, Yuxin Xue, David Dagan Feng, Lei Bi, Jinman Kim:
Full-resolution MLPs Empower Medical Dense Prediction. CoRR abs/2311.16707 (2023) - 2022
- [j3]Mingyuan Meng
Enhancing medical image registration via appearance adjustment networks. NeuroImage 259: 119444 (2022) - [j2]Mingyuan Meng
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): 4497-4507 (2022) - [c6]Mingyuan Meng
Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision. BrainLes@MICCAI 2022: 273-282 - [c5]Mingyuan Meng
Non-iterative Coarse-to-Fine Registration Based on Single-Pass Deep Cumulative Learning. MICCAI (6) 2022: 88-97 - [c4]Mingyuan Meng
Radiomics-Enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 135-143 - [i10]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative Learning. CoRR abs/2206.12596 (2022) - [i9]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Radiomics-enhanced Deep Multi-task Learning for Outcome Prediction in Head and Neck Cancer. CoRR abs/2211.05409 (2022) - [i8]Mingyuan Meng, Lei Bi, Dagan Feng, Jinman Kim:
Brain Tumor Sequence Registration with Non-iterative Coarse-to-fine Networks and Dual Deep Supervision. CoRR abs/2211.07876 (2022) - 2021
- [j1]Mingyuan Meng
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning. Neurocomputing 441: 92-104 (2021) - [c3]Mingyuan Meng
Multi-task Deep Learning for Joint Tumor Segmentation and Outcome Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 160-167 - [i7]Mingyuan Meng, Lei Bi, Michael J. Fulham, David Dagan Feng, Jinman Kim:
Enhancing Medical Image Registration via Appearance Adjustment Networks. CoRR abs/2103.05213 (2021) - [i6]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 abs/2103.05220 (2021) - [i5]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 abs/2109.07711 (2021) - 2020
- [c2]Xingyu Yang, Mingyuan Meng
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. ICPR 2020: 6417-6424 - [c1]Mingyuan Meng
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. IJCNN 2020: 1-8 - [i4]Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu:
BioSNet: A Fast-Learning and High-Robustness Unsupervised Biomimetic Spiking Neural Network. CoRR abs/2001.01680 (2020) - [i3]Mingyuan Meng, Xingyu Yang, Shanlin Xiao, Zhiyi Yu:
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural Networks. CoRR abs/2001.10696 (2020) - [i2]Mingyuan Meng, Shaojun Liu:
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical Flow. CoRR abs/2006.01201 (2020) - [i1]Xingyu Yang, Mingyuan Meng, Shanlin Xiao, Zhiyi Yu:
SPA: Stochastic Probability Adjustment for System Balance of Unsupervised SNNs. CoRR abs/2010.09690 (2020)
Coauthor Index
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