Multiple classification of brain MRI autism spectrum disorder by age and gender using deep learning

HS Nogay, H Adeli - Journal of Medical Systems, 2024 - Springer
The fact that the rapid and definitive diagnosis of autism cannot be made today and that
autism cannot be treated provides an impetus to look into novel technological solutions. To …

Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

M van der Grinten, JR van Steveninck, A Lozano… - Elife, 2024 - elifesciences.org
Blindness affects millions of people around the world. A promising solution to restoring a
form of vision for some individuals are cortical visual prostheses, which bypass part of the …

3D reconstruction based on hierarchical reinforcement learning with transferability

L Li, F He, R Fan, B Fan, X Yan - Integrated Computer-Aided …, 2023 - content.iospress.com
Abstract 3D reconstruction is extremely important in CAD (computer-aided design)/CAE
(computer-aided Engineering)/CAM (computer-aided manufacturing). For interpretability …

Towards a Smart Bionic Eye: AI-powered artificial vision for the treatment of incurable blindness

M Beyeler, M Sanchez-Garcia - Journal of Neural Engineering, 2022 - iopscience.iop.org
Objective. How can we return a functional form of sight to people who are living with
incurable blindness? Despite recent advances in the development of visual …

An in-silico framework for modeling optimal control of neural systems

B Rueckauer, M van Gerven - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Brain-machine interfaces have reached an unprecedented capacity to measure
and drive activity in the brain, allowing restoration of impaired sensory, cognitive or motor …

Facial expression recognition with contrastive learning and uncertainty-guided relabeling

Y Yang, L Hu, C Zu, Q Zhou, X Wu, J Zhou… - International Journal of …, 2023 - World Scientific
Facial expression recognition (FER) plays a vital role in the field of human-computer
interaction. To achieve automatic FER, various approaches based on deep learning (DL) …

Transformer-based approach via contrastive learning for zero-shot detection

W Liu, H Chen, Y Ma, J Wang… - International journal of …, 2023 - World Scientific
Zero-shot detection (ZSD) aims to locate and classify unseen objects in pictures or videos by
semantic auxiliary information without additional training examples. Most of the existing ZSD …

Spatially selective retinal ganglion cell activation using Low invasive extraocular temporal interference stimulation

X Song, T Guo, S Ma, F Zhou, J Tian… - … journal of neural …, 2025 - pubmed.ncbi.nlm.nih.gov
Conventional retinal implants involve complex surgical procedures and require invasive
implantation. Temporal Interference Stimulation (TIS) has achieved noninvasive and …

Biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses

M Van Der Grinten, J de Ruyter van Steveninck… - bioRxiv, 2022 - biorxiv.org
Blindness affects millions of people around the world, and is expected to become
increasingly prevalent in the years to come. For some blind individuals, a promising solution …

Improving landslide prediction by computer vision and deep learning

B Guerrero-Rodriguez… - Integrated …, 2023 - journals.sagepub.com
The destructive power of a landslide can seriously affect human beings and infrastructures.
The prediction of this phenomenon is of great interest; however, it is a complex task in which …