Gopalakrishnan, Vivek
Harvard University · MIT Computer Science and Artificial Intelligence Laboratory · Massachusetts Institute of Technology
5 papers on CoChatORCID 0000-0003-4349-8526
Most cited papers
- Verified
Fast auto-differentiable digitally reconstructed radiographs for solving inverse problems in intraoperative imaging
Gopalakrishnan, V., & Golland, P. (2023) · Lecture Notes in Computer Science
Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques
Cited by 50
- Verified
Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering
Gopalakrishnan, V., Dey, N., & Golland, P. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Medical Image Segmentation TechniquesAnatomy and Medical Technology
Cited by 48
- Verified
Rapid patient-specific neural networks for intraoperative X-ray to volume registration
Gopalakrishnan, V., Chlorogiannis, D.-D., Abumoussa, A., Larson, A. M., Haouchine, N., Orbach, D. B., Frisken, S., Dey, N., & Golland, P. (2025) · arXiv
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 13
- Verified
Machine learning for automated and real-time two-dimensional to three-dimensional registration of the spine using a single radiograph
Abumoussa, A., Gopalakrishnan, V., Succop, B., Galgano, M., Jaikumar, S., Lee, Y. Z., & Bhowmick, D. A. (2023) · Neurosurgical Focus
Medical Imaging and AnalysisMedical Image Segmentation Techniques
Cited by 9
- Verified
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
Gopalakrishnan, V., Dey, N., & Golland, P. (2025) · Advances in Neural Information Processing Systems 38
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 3
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free