AIMC Topic: Magnetic Resonance Imaging

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Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation could decline to a point where they may stop training when facing a very difficult task. Conversely, participants may perform well and consider the tr...

Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI.

Abdominal radiology (New York)
PURPOSE: The purpose of the study was to propose a deep transfer learning (DTL)-based model to distinguish indolent from clinically significant prostate cancer (PCa) lesions and to compare the DTL-based model with a deep learning (DL) model without t...

Automatic Lumbar MRI Detection and Identification Based on Deep Learning.

Journal of digital imaging
The aim of this research is to automatically detect lumbar vertebras in MRI images with bounding boxes and their classes, which can assist clinicians with diagnoses based on large amounts of MRI slices. Vertebras are highly semblable in appearance, l...

Transfer learning on T1-weighted images for brain age estimation.

Mathematical biosciences and engineering : MBE
Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has become the killer of the elderly and is thus the focus of much attention in the medical field. Radiologists compare the predicted brain age with the ground truth...

Connectome-based individualized prediction of loneliness.

Social cognitive and affective neuroscience
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness a...

Differentiating post-cancer from healthy tongue muscle coordination patterns during speech using deep learning.

The Journal of the Acoustical Society of America
The ability to differentiate post-cancer from healthy tongue muscle coordination patterns is necessary for the advancement of speech motor control theories and for the development of therapeutic and rehabilitative strategies. A deep learning approach...

Machine learning based automated dynamic quantification of left heart chamber volumes.

European heart journal. Cardiovascular Imaging
AIMS: Studies have demonstrated the ability of a new automated algorithm for volumetric analysis of 3D echocardiographic (3DE) datasets to provide accurate and reproducible measurements of left ventricular and left atrial (LV, LA) volumes at end-syst...

A neurocognitive investigation of the impact of socializing with a robot on empathy for pain.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
To what extent can humans form social relationships with robots? In the present study, we combined functional neuroimaging with a robot socializing intervention to probe the flexibility of empathy, a core component of social relationships, towards ro...

Brain activity during reciprocal social interaction investigated using conversational robots as control condition.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
We present a novel functional magnetic resonance imaging paradigm for second-person neuroscience. The paradigm compares a human social interaction (human-human interaction, HHI) to an interaction with a conversational robot (human-robot interaction, ...

Functional connectivity in multiple sclerosis after robotic rehabilitative treatment: A case report.

Medicine
RATIONALE: Multiple sclerosis (MS) is an inflammatory demyelinating disease of central nervous system and it is associated with an impaired motor function status. The efficacy of rehabilitation in promoting functional recovery and increasing quality ...