2 citations · 2 across the 5 of their papers we have counts for
5 papers
Beyond Representation Learning: A Systematic Study of Joint-Embedding Predictive Generation for 3D Brain MRI
Meng Zhou, Wenhao You, Yuxing Chen +1
Joint-embedding predictive architectures (JEPAs) have primarily been developed for self-supervised representation learning. Denoising JEPA (D-JEPA) recently demonstrated strong gen…
Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning
Yueying Tian, Xudong Han, Meng Zhou +3
Diffusion models have emerged as powerful tools for 3D medical image generation, yet bridging the gap between standard training objectives and clinical relevance remains a challeng…
ClinicalFMamba: Advancing Clinical Assessment using Mamba-based Multimodal Neuroimaging Fusion
Meng Zhou, Farzad Khalvati
Multimodal medical image fusion integrates complementary information from different imaging modalities to enhance diagnostic accuracy and treatment planning. While deep learning me…
Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion
Meng Zhou, Yuxuan Zhang, Xiaolan Xu +2
Multimodal medical image fusion is a crucial task that combines complementary information from different imaging modalities into a unified representation, thereby enhancing diagnos…
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks
Meng Zhou, Matthias W Wagner, Uri Tabori +3
Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating real…