activity
20202025
most citedUltrasound-Guided Robotic Navigation with Deep Reinforcement Learning

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Visual-Haptic Model Mediated Teleoperation for Remote Ultrasound

David Black, Maria Tirindelli, Septimiu Salcudean +2

Tele-ultrasound has the potential greatly to improve health equity for countless remote communities. However, practical scenarios involve potentially large time delays which cause…

cs.CV2022

PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection

Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli +4

We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are…

eess.IV2021

Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Maria Tirindelli, Christine Eilers, Walter Simson +3

Medical Ultrasound (US), despite its wide use, is characterized by artifacts and operator dependency. Those attributes hinder the gathering and utilization of US datasets for the t…

cs.LG2020★ 4 cited

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning

Hannes Hase, Mohammad Farid Azampour, Maria Tirindelli +4

In this paper we introduce the first reinforcement learning (RL) based robotic navigation method which utilizes ultrasound (US) images as an input. Our approach combines state-of-t…

eess.IV2020

Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"

Maria Tirindelli, Maria Victorova, Javier Esteban +4

Spine injections are commonly performed in several clinical procedures. The localization of the target vertebral level (i.e. the position of a vertebra in a spine) is typically don…