期刊名：Journal of Imaging

期刊主页：https://www.mdpi.com/journal/jimaging

本期文献清单将与您分享Journal of Imaging 期刊2025年的12篇封面文章，希望能为您的学术研究提供灵感！

1. Experimental Protocol for Color Difference Evaluation Under Stabilized LED Light

稳定LED光源下色差评估的实验方案

https://www.mdpi.com/2313-433X/11/1/4

Vernet, S.; Dinet, E.; Trémeau, A.; Colantoni, P. Experimental Protocol for Color Difference Evaluation Under Stabilized LED Light. J. Imaging 2025, 11, 4.

2. Resampling Point Clouds Using Series of Local Triangulations

利用局部三角剖分序列对点云进行重采样

https://www.mdpi.com/2313-433X/11/2/49

Suriyababu, V.K.; Vuik, C.; Möller, M. Resampling Point Clouds Using Series of Local Triangulations. J. Imaging 2025, 11, 49.

3. Deepfake Media Forensics: Status and Future Challenges

深度伪造媒体取证：现状与未来挑战

https://www.mdpi.com/2313-433X/11/3/73

Amerini, I.; Barni, M.; Battiato, S.; Bestagini, P.; Boato, G.; Bruni, V.; Caldelli, R.; De Natale, F.; De Nicola, R.; Guarnera, L.; et al. Deepfake Media Forensics: Status and Future Challenges. J. Imaging 2025, 11, 73.

4. Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks

利用多编码器交叉注意力网络评估前列腺MRI中的癌症存在情况

https://www.mdpi.com/2313-433X/11/4/98

Dimitriadis, A.; Kalliatakis, G.; Osuala, R.; Kessler, D.; Mazzetti, S.; Regge, D.; Diaz, O.; Lekadir, K.; Fotiadis, D.; Tsiknakis, M.; et al. Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks. J. Imaging 2025, 11, 98.

5. Revisiting Wölfflin in the Age of AI: A Study of Classical and Baroque Composition in Generative Models

在人工智能时代重读沃尔夫林：生成模型中古典与巴洛克风格创作的研究

https://www.mdpi.com/2313-433X/11/5/128

Deliege, A.; Dondero, M.G.; D’Armenio, E. Revisiting Wölfflin in the Age of AI: A Study of Classical and Baroque Composition in Generative Models. J. Imaging 2025, 11, 128.

6. COSMICA: A Novel Dataset for Astronomical Object Detection with Evaluation Across Diverse Detection Architectures

COSMICA：一个用于天体物体检测的新型数据集，涵盖多种检测架构的评估

https://www.mdpi.com/2313-433X/11/6/184

Piratinskii, E.; Rabaev, I. COSMICA: A Novel Dataset for Astronomical Object Detection with Evaluation Across Diverse Detection Architectures. J. Imaging 2025, 11, 184.

7. Visual Neuroplasticity: Modulating Cortical Excitability with Flickering Light Stimulation

视觉神经可塑性：利用闪烁光刺激调节皮层兴奋性

https://www.mdpi.com/2313-433X/11/7/237

Ávila, F.J. Visual Neuroplasticity: Modulating Cortical Excitability with Flickering Light Stimulation. J. Imaging 2025, 11, 237.

8. Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures

基于VAE、GAN和扩散模型架构的合成科学图像生成

https://www.mdpi.com/2313-433X/11/8/252

Sordo, Z.; Chagnon, E.; Hu, Z.; Donatelli, J.J.; Andeer, P.; Nico, P.S.; Northen, T.; Ushizima, D. Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures. J. Imaging 2025, 11, 252.

9. Test-Time Augmentation for Cross-Domain Leukocyte Classification via OOD Filtering and Self-Ensembling

基于OOD过滤与自集成的跨域白细胞分类测试时增强方法

https://www.mdpi.com/2313-433X/11/9/295

Putzu, L.; Loddo, A.; Di Ruberto, C. Test-Time Augmentation for Cross-Domain Leukocyte Classification via OOD Filtering and Self-Ensembling. J. Imaging 2025, 11, 295.

10. Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt

基于多视角X射线图像的小鼠骨骼异常分类的层次化深度学习方法：卷积自编码器与ConvNeXt的比较

https://www.mdpi.com/2313-433X/11/10/348

Jawaid, M.M.; Bains, R.S.; Wells, S.; Brown, J.M. Hierarchical Deep Learning for Abnormality Classification in Mouse Skeleton Using Multiview X-Ray Images: Convolutional Autoencoders Versus ConvNeXt. J. Imaging 2025, 11, 348.

11. Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration

基于AI驱动多模态融合的MRI颅骨分割方法重定义

https://www.mdpi.com/2313-433X/11/11/372

Beyer, M.; Aigner, A.; Burde, A.; Brasse, A.; Abazi, S.; Seifert, L.B.; Wasserthal, J.; Segeroth, M.; Omar, M.; Thieringer, F.M. Redefining MRI-Based Skull Segmentation Through AI-Driven Multimodal Integration. J. Imaging 2025, 11, 372.

12. How Good Is the Machine at the Imitation Game? On Stylistic Characteristics of AI-Generated Images

机器在“模仿游戏”中表现如何？论人工智能生成图像的风格特征

https://www.mdpi.com/2313-433X/11/12/429

Deliège, A.; Marlot, J.; Van Droogenbroeck, M.; Dondero, M.G. How Good Is the Machine at the Imitation Game? On Stylistic Characteristics of AI-Generated Images. J. Imaging 2025, 11, 429.

Journal of Imaging期刊介绍

主编：Raimondo Schettini, University of Milano-Bicocca, Italy

期刊致力于发表多学科/跨学科领域的图像采集、图像处理和图像解析方面的高质量研究，也欢迎相关领域技术、程序、方法、应用或进展投稿。期刊目前已被Scopus、ESCI (Web of Science)、Ei Compendex、 PubMed、PMC、dblp、Inspec等数据库收录。