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Meng Ye
Meng Ye
Phd student of Computer Scicence, Rutgers University
Verified email at cs.rutgers.edu - Homepage
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Year
Predicting rectal cancer response to neoadjuvant chemoradiotherapy using deep learning of diffusion kurtosis MRI
XY Zhang, L Wang, HT Zhu, ZW Li, M Ye, XT Li, YJ Shi, HC Zhu, YS Sun
Radiology 296 (1), 56-64, 2020
832020
Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method
YH Qu, HT Zhu, K Cao, XT Li, M Ye, YS Sun
Thoracic Cancer 11 (3), 651-658, 2020
812020
Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol
W Shi, S Kuang, S Cao, B Hu, S Xie, S Chen, Y Chen, D Gao, Y Chen, ...
Abdominal Radiology 45, 2688-2697, 2020
542020
Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images
M Ye, M Kanski, D Yang, Q Chang, Z Yan, Q Huang, L Axel, D Metaxas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
422021
Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography
SE Cao, LQ Zhang, SC Kuang, WQ Shi, B Hu, SD Xie, YN Chen, H Liu, ...
World journal of gastroenterology 26 (25), 3660, 2020
372020
Deep learning‐assisted magnetic resonance imaging prediction of tumor response to chemotherapy in patients with colorectal liver metastases
HB Zhu, D Xu, M Ye, L Sun, XY Zhang, XT Li, P Nie, BC Xing, YS Sun
International Journal of Cancer 148 (7), 1717-1730, 2021
332021
PC-U net: Learning to jointly reconstruct and segment the cardiac walls in 3D from CT data
M Ye, Q Huang, D Yang, P Wu, J Yi, L Axel, D Metaxas
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
202021
Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method
Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2022
182022
SequenceMorph: A unified unsupervised learning framework for motion tracking on cardiac image sequences
M Ye, D Yang, Q Huang, M Kanski, L Axel, DN Metaxas
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10409 …, 2023
92023
Fill the k-space and refine the image: Prompting for dynamic and multi-contrast MRI reconstruction
B Xin, M Ye, L Axel, DN Metaxas
International Workshop on Statistical Atlases and Computational Models of …, 2023
82023
Deformer: Integrating transformers with deformable models for 3d shape abstraction from a single image
D Liu, X Yu, M Ye, Q Zhangli, Z Li, Z Zhang, DN Metaxas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
72023
Cardiac MR image sequence segmentation with temporal motion encoding
P Wu, Q Huang, J Yi, H Qu, M Ye, L Axel, D Metaxas
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
62020
An unsupervised 3D recurrent neural network for slice misalignment correction in cardiac MR imaging
Q Chang, Z Yan, M Ye, K Mikael, S Al’Aref, L Axel, DN Metaxas
International Workshop on Statistical Atlases and Computational Models of …, 2021
52021
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging
M Ye, D Yang, M Kanski, L Axel, D Metaxas
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration
M Ye, M Kanski, D Yang, L Axel, D Metaxas
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction
B Xin, M Ye, L Axel, DN Metaxas
European Conference on Computer Vision, 164-181, 2025
2025
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
M Ye, B Xin, L Axel, D Metaxas
arXiv preprint arXiv:2410.23191, 2024
2024
Supplementary Material for Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction
B Xin, M Ye, L Axel, DN Metaxas
Supplementary Material for DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image
XY Di Liu, M Ye, Q Zhangli, Z Li, Z Zhang, DN Metaxas
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Articles 1–19