Radiomics for identification and prediction in metastatic prostate cancer: a review of studies

J Kendrick, R Francis, GM Hassan… - Frontiers in …, 2021 - frontiersin.org
Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa
spreads throughout the body, often to bones, with spatial and temporal variations that make …

User-centered system design for assisted navigation of visually impaired individuals in outdoor cultural environments

C Ntakolia, G Dimas, DK Iakovidis - Universal Access in the Information …, 2022 - Springer
The marginalization of people with disabilities, such as visually impaired individuals (VIIs),
has driven scientists to take advantage of the fast growth of smart technologies and develop …

Convolutional neural network and sensor fusion for obstacle classification in the context of powered prosthetic leg applications

MA Contreras-Cruz, L Novo-Torres, DJ Villarreal… - Computers and …, 2023 - Elsevier
Powered prostheses for lower extremities are an advancing technology, with recent
developments reducing their weight while increasing their autonomy and capabilities. One …

A lightweight convolutional neural network architecture applied for bone metastasis classification in nuclear medicine: A case study on prostate cancer patients

C Ntakolia, DE Diamantis, N Papandrianos… - Healthcare, 2020 - mdpi.com
Bone metastasis is among the most frequent in diseases to patients suffering from metastatic
cancer, such as breast or prostate cancer. A popular diagnostic method is bone scintigraphy …

Fuzzy pooling

DE Diamantis, DK Iakovidis - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are artificial learning systems typically based on two
operations: convolution, which implements feature extraction through filtering, and pooling …

A route planning framework for smart wearable assistive navigation systems

C Ntakolia, DK Iakovidis - SN Applied Sciences, 2021 - Springer
Route planning (RP) enables individuals to navigate in unfamiliar environments. Current RP
methodologies generate routes that optimize criteria relevant to the traveling distance or …

Uncertainty-aware visual perception system for outdoor navigation of the visually challenged

G Dimas, DE Diamantis, P Kalozoumis, DK Iakovidis - Sensors, 2020 - mdpi.com
Every day, visually challenged people (VCP) face mobility restrictions and accessibility
limitations. A short walk to a nearby destination, which for other individuals is taken for …

StairNetV3: Depth-aware stair modeling using deep learning

C Wang, Z Pei, S Qiu, Y Wang, Z Tang - The Visual Computer, 2024 - Springer
Vision-based stair modeling can help autonomous mobile robots deal with the challenge of
climbing stairs, especially in unfamiliar environments. To address the problem that current …

Endovae: Generating endoscopic images with a variational autoencoder

DE Diamantis, P Gatoula… - 2022 IEEE 14th Image …, 2022 - ieeexplore.ieee.org
The generalization performance of deep learning models is closely associated with the
number and diversity of data available upon training. While in many applications there is a …

Towards the substitution of real with artificially generated endoscopic images for CNN training

DE Diamantis, AE Zacharia… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
The generalization performance in deep learning is linked to the size and the variations of
the samples available during training. This is apparent in the domain of computer-aided …