Max Judish
Papers
1
Total Citations
5
H-Index
1
About
Dr. Max Judish is a leading researcher at the intersection of computer vision and surgical innovation, with a primary focus on image-guided interventions and the application of machine learning to 2D/3D registration. His work addresses a critical bottleneck in minimally invasive surgery: the need for accurate, real-time spatial alignment between pre-operative 3D scans and intra-operative 2D X-ray images. In his highly cited 2021 systematic review, "The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions," Dr. Judish provided a comprehensive perspective on how deep learning is revolutionizing this field, moving beyond traditional, computationally expensive methods. His analysis has been instrumental in framing the next generation of surgical navigation systems, arguing that these advances will democratize access to high-precision, reproducible surgery by reducing cost and complexity. With 5 citations, this work serves as a foundational reference for researchers and clinicians developing more accessible, safer image-based navigation tools. Dr. Judish’s contributions are pivotal for a future where complex procedures are guided by intelligent, automated imaging, promising to make advanced surgical care more widely available.
Research Focus
Key Achievements
Top Papers
- 1