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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 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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Article
Open AccessIntegrating Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging to Improve the Predictive Capabilities of CED Models
This paper aims to develop a comprehensive and subject-specific model to predict the drug reach in Convection-Enhanced Delivery (CED) interventions. To this end, we make use of an advance diffusion imaging tec...
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Article
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
With the advent of Minimally Invasive Surgery (MIS), intra-operative imaging has become crucial for surgery and therapy guidance, allowing to partially compensate for the lack of information typical of MIS. Th...
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Article
Transfer learning for informative-frame selection in laryngoscopic videos through learned features
Narrow-band imaging (NBI) laryngoscopy is an optical-biopsy technique used for screening and diagnosing cancer of the laryngeal tract, reducing the biopsy risks but at the cost of some drawbacks, such as large...
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Article
Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks
Twin-to-Twin Transfusion Syndrome is commonly treated with minimally invasive laser surgery in fetoscopy. The inter-foetal membrane is used as a reference to find abnormal anastomoses. Membrane identification ...
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Article
Learned and handcrafted features for early-stage laryngeal SCC diagnosis
Squamous cell carcinoma (SCC) is the most common and malignant laryngeal cancer. An early-stage diagnosis is of crucial importance to lower patient mortality and preserve both the laryngeal anatomy and vocal-f...
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Article
Toward Improving Safety in Neurosurgery with an Active Handheld Instrument
Microsurgical procedures, such as petroclival meningioma resection, require careful surgical actions in order to remove tumor tissue, while avoiding brain and vessel damaging. Such procedures are currently per...
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Article
Gaussian mixture models based 2D–3D registration of bone shapes for orthopedic surgery planning
In orthopedic surgery, precise kinematics assessment helps the diagnosis and the planning of the intervention. The correct placement of the prosthetic component in the case of knee replacement is necessary to ...
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Article
Hand–tool–tissue interaction forces in neurosurgery for haptic rendering
Haptics provides sensory stimuli that represent the interaction with a virtual or tele-manipulated object, and it is considered a valuable navigation and manipulation tool during tele-operated surgical procedu...
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Article
Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements
FreeSurfer software package automatically estimates the cerebral cortical thickness. Its use is widely accepted, albeit this tool was validated against histologic measurements in only two post-mortem isolated ...
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Article
Intraoperative forces and moments analysis on patient head clamp during awake brain surgery
In brain surgery procedures, such as deep brain stimulation, drug-resistant epilepsy and tumour surgery, the patient is intentionally awakened to map functional neural bases via electrophysiological assessment...
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Article
Open AccessErratum to: Error map** controller: a closed loop neuroprosthesis controlled by artificial neural networks
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Article
Open AccessError map** controller: a closed loop neuroprosthesis controlled by artificial neural networks
The design of an optimal neuroprostheses controller and its clinical use presents several challenges. First, the physiological system is characterized by highly inter-subjects varying properties and also by no...