Shaping the Future through Innovations: From Medical Imaging to Precision Medicine
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Abstract (arXiv)
Medical images constitute a source of information essential for disease diagnosis, treatment and follow-up. In addition, due to its patient-specific nature, imaging information represents a critical component required for advancing precision medicine into clinical practice. This manuscript describes recently developed technologies for better handling of image information: photorealistic visualization of medical images with Cinematic Rendering, artificial agents for in-depth image understanding, support for minimally invasive procedures, and patient-specific computational models with enhanced predictive power. Throughout the manuscript we will analyze the capabilities of such technologies and extrapolate on their potential impact to advance the quality of medical care, while reducing its cost.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 May 2016.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024Multi-Layer Gaussian Splatting for Immersive Anatomy Visualizationcited by 7
- 2025ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Datacited by 2
- 2026XClipGS: Exact Half-Space Clipping for Medical Volume Gaussian Splattingcited by 1
- 2026BBR-Net: Boundary-Balanced Replay for Continual Medical Image Segmentationcited by 0
- 2026XClipGS: Exact Half-Space Clipping for Medical Volume Gaussian Splatting7 Aug 2026
- 2026BBR-Net: Boundary-Balanced Replay for Continual Medical Image Segmentation2 Jun 2026
- 2025ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data9 Jul 2025
- 2024Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization22 Oct 2024