78 citations · 108 across the 12 of their papers we have counts for
6 papers · 1 filter
Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes
Robinson Umeike, Neil Getty, Yin Xiangyu +1
The automation of workflows in advanced microscopy is a key goal where foundation models like Language Models (LLMs) and Vision-Language Models (VLMs) show great potential. However…
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis
Robinson Umeike, Neil Getty, Fangfang Xia +1
Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific disco…
Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153
Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu +59
Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works…
Recurrent and Spiking Modeling of Sparse Surgical Kinematics
Neil Getty, Zixuan Zhao, Stephan Gruessner +2
Robot-assisted minimally invasive surgery is improving surgeon performance and patient outcomes. This innovation is also turning what has been a subjective practice into motion seq…