Papers
6
Total Citations
56
H-Index
4
About
Edward Bloch is a pioneering researcher at the intersection of ophthalmic surgery and medical robotics, whose work is fundamentally reshaping how we approach sight-restoring interventions. His primary research areas span continuum robotics for minimally invasive eye surgery, deep learning for intra-operative tracking, and advanced image enhancement for surgical visualization. Bloch’s most impactful contribution is the development of a multi-arm continuum robot for Optic Nerve Sheath Fenestration (ONSF), a groundbreaking system that transforms an invasive procedure into a precise, minimally invasive intervention—a paper that has garnered 27 citations and set a new standard in ophthalmic robotics. He has also made significant strides in intra-operative retinal tracking, pioneering a supervised deep convolutional neural network that fuses semantic segmentation with optical flow prediction (12 citations), enabling robotic systems to follow retinal motion during delicate regenerative therapy delivery. Bloch’s work on super-resolution for Intra-operative Optical Coherence Tomography (iOCT) is equally notable, with multiple papers (totaling over 15 citations) developing novel approaches—from leveraging high-quality pre-operative scans to contrastive learning—that dramatically enhance real-time visualization of retinal layers. His research is critical for the future of robotic-assisted subretinal delivery of regenerative therapies, offering hope for reversing sight loss from degenerative eye diseases.
Research Focus
Key Achievements
Top Papers
- 1Optic Nerve Sheath Fenestration With a Multi-Arm Continuum Robot27 citations · 2020
- 2Learned optical flow for intra-operative tracking of the retinal fundus12 citations · 2020
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