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cs.CV2026
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…
cs.CV2026
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…
cs.CV2023★ 2 cited
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…