11 citations · 11 across the 4 of their papers we have counts for
5 papers
Verbalizing Activation Differences with Natural Language Autoencoders
Andrea Blasi Núñez, Gianluca Barmina, Federico Torrielli +3
Activation verbalizers translate the internal representations of large language models into human-readable text. The recently proposed natural language autoencoders (NLAs) learn th…
Safe Uncertainty-Aware Learning of Robotic Suturing
Wilbert Peter Empleo, Yitaek Kim, Hansoul Kim +2
Robot-Assisted Minimally Invasive Surgery is currently fully manually controlled by a trained surgeon. Automating this has great potential for alleviating issues, e.g., physical st…
Imitation Learning for Robotic Assisted Ultrasound Examination of Deep Venous Thrombosis using Kernelized Movement Primitives
Diego Dall'Alba, Lorenzo Busellato, Thiusius Rajeeth Savarimuthu +2
Deep Vein Thrombosis (DVT) is a common yet potentially fatal condition, often leading to critical complications like pulmonary embolism. DVT is commonly diagnosed using Ultrasound…
Medical needle tip tracking based on Optical Imaging and AI
Zhuoqi Cheng, Simon Lyck Bjært Sørensen, Mikkel Werge Olsen +2
Deep needle insertion to a target often poses a huge challenge, requiring a combination of specialized skills, assistive technology, and extensive training. One of the frequently e…
Design and implementation of a wireless instrument adapter
Kaori V. Laino, Thore Saathoff, Thiusius R. Savarimuthu +3
The evaluation of new methods for control and manipulation in minimally invasive robotic surgery requires a realistic setup. To decouple the evaluation of methods from overall clin…