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Article
Open AccessPath tracking control of a steerable catheter in transcatheter cardiology interventions
Intracardiac transcatheter interventions allow for reducing trauma and hospitalization stays as compared to standard surgery. In the treatment of mitral regurgitation, the most widely adopted transcatheter app...
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Article
Open AccessLearning-based keypoint registration for fetoscopic mosaicking
In twin-to-twin transfusion syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current practice, TTTS is treated surgical...
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Article
Open AccessToward a navigation framework for fetoscopy
Fetoscopic laser photocoagulation of placental anastomoses is the most effective treatment for twin-to-twin transfusion syndrome (TTTS). A robust mosaic of placenta and its vascular network could support surge...
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Article
Open AccessDeep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma
Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to...
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Chapter
Towards Human Activity Recognition Enhanced Robot Assisted Surgery
Medical robotics have drawn increasing research interests in the past years. The potential of employing intelligence techniques is still not yet fully utilized to improve the capabilities of medical devices fo...
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Article
Open AccessRobot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation
Advanced developments in the medical field have gradually increased the public demand for surgical skill evaluation. However, this assessment always depends on the direct observation of experienced surgeons, w...
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Article
Open AccessLesion segmentation in lung CT scans using unsupervised adversarial learning
Lesion segmentation in medical images is difficult yet crucial for proper diagnosis and treatment. Identifying lesions in medical images is costly and time-consuming and requires highly specialized knowledge. ...
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Article
Open AccessIncorporating model predictive control with fuzzy approximation for robot manipulation under remote center of motion constraint
Remote center of motion (RCM) constraint has attracted many research interests as one of the key challenges for robot-assisted minimally invasive surgery (RAMIS). Although it has been addressed by many studies...
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Article
Open AccessLearning intraoperative organ manipulation with context-based reinforcement learning
Automation of sub-tasks during robotic surgery is challenging due to the high variability of the surgical scenes intra- and inter-patients. For example, the pick and place task can be executed different times ...
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Article
Open AccessA hybrid inductive learning-based and deductive reasoning-based 3-D path planning method in complex environments
Traditional path planning methods, such as sampling-based and iterative approaches, allow for optimal path’s computation in complex environments. Nonetheless, environment exploration is subject to rules which ...
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Article
Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument
Complications related to vascular damage such as intra-operative bleeding may be avoided during neurosurgical procedures such as petroclival meningioma surgery. To address this and improve the patient’s safety...
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Article
Open AccessEMG-driven control in lower limb prostheses: a topic-based systematic review
The inability of users to directly and intuitively control their state-of-the-art commercial prosthesis contributes to a low device acceptance rate. Since Electromyography (EMG)-based control has the potential...
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Chapter and Conference Paper
Modelling and Simulation of ADIUTOR Upper Limb Rehabilitation Robot
This paper addresses the modelling and simulation of ADIUTOR, a Delta-like architecture, which has been conceived at University of Calabria for upper limb rehabilitation tasks. The proposed robotic architectur...
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Chapter and Conference Paper
Back-Support Exoskeleton Control Using User’s Torso Acceleration and Velocity to Assist Manual Material Handling
This work analyzes the use of users’ dynamics to define the assistance of a back-support exoskeleton for assisting manual material handling. Exploiting the acceleration and velocity of the user’s torso on the ...
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Chapter and Conference Paper
Deep-Learning Architectures for Placenta Vessel Segmentation in TTTS Fetoscopic Images
Twin-to-Twin Transfusion Syndrome (TTTS) is a rare pregnancy pathology affecting identical twins, which share both the placenta and a network of blood vessels. Sharing blood vessels implies an unbalanced oxyge...
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Chapter
Historical Perspectives
This chapter presents an historical overview of the entrance of robots in surgery, with focus on different surgical specializations. From the first milestone, represented by the first CT-guided stereotactic br...
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Chapter and Conference Paper
Mixed Reality and Deep Learning for External Ventricular Drainage Placement: A Fast and Automatic Workflow for Emergency Treatments
The treatment of hydrocephalus is based on anatomical landmarks to guide the insertion of an External Ventricular Drain (EVD). This procedure can benefit from the adoption of Mixed Reality (MR) technology. In ...
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Reference Work Entry In depth
AIM in Medical Robotics
Medical robotics emerged in the 1980s to improve clinicians’ technical capability and increase safety in clinical procedures. This chapter specifically addresses the topic of surgical robots. Major opportuniti...
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Reference Work Entry In depth
AIM in Endoscopy Procedures
Artificial intelligence (AI) is revolutionizing the way medicine is practiced. In this context, the application of AI algorithms in endoscopy is gaining increasing attention so that modern endoscopy is moving ...
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Article
Open AccessUsing spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma. During ureteroscopy, the automatic segmentation of the hollow lumen is ...
