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Found 5 papers, 2 papers with code
Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Appeals
Using moral content in tweets as a case study, we illustrate the steps to construct the moral foundations vec-tionary, showcasing its ability to process texts missed by conventional dictionaries and word embedding methods and to produce measurements better aligned with crowdsourced human assessments.
Detecting the Sensing Area of A Laparoscopic Probe in Minimally Invasive Cancer Surgery
In surgical oncology, it is challenging for surgeons to identify lymph nodes and completely resect cancer even with pre-operative imaging systems like PET and CT, because of the lack of reliable intraoperative visualization tools.
SyntheX: Scaling Up Learning-based X-ray Image Analysis Through In Silico Experiments
Here, we demonstrate that creating realistic simulated images from human models is a viable alternative and complement to large-scale in situ data collection.
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
Mitigating Investment Risk Using Modular Technologies
We study logistical investment flexibility provided by modular processing technologies for mitigating risk.
Optimization and Control
