Results 141 to 150 of about 19,993,772 (359)

Study becomes insight: Ecological learning from machine learning [PDF]

, 2021
Qiuyan Yu, Wenjie Ji, Lara Prihodko, C. Wade Ross, J. Anchang, Niall P. Hanan   +5 more
openalex   +1 more source

A survey on deep learning in medical image analysis [PDF]

Medical Image Anal., 2017
G. Litjens, Thijs Kooi, B. Bejnordi, A. Setio, F. Ciompi, Mohsen Ghafoorian, J. Laak, B. Ginneken, C. I. Sánchez   +8 more
semanticscholar   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Learning to learn: self-managed learning

Revista MENDIVE, 2006
Thi is article analyzes the potentialities and weaknesses that non directive Pedagogy presents, an example of the so called self managed pedagogy, whose postulates are good to analyze for the contributions that this position can make to the search of new ways of learning.
Jesús Miranda Izquierdo, Déborah Mainegra Fernández   +1 more
openaire   +1 more source

Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow, Nicola McKern, Vincent Oxenham, Kate Ahmad, Omar Ahmad   +4 more
wiley   +1 more source

Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning [PDF]

, 2019
Ying Da Wang, Ryan T. Armstrong, Peyman Mostaghimi   +2 more
openalex   +1 more source

A Deep Learning Application for Building Damage Assessment Using Ultra-High-Resolution Remote Sensing Imagery in Turkey Earthquake [PDF]

, 2023
Haobin Xia, Jian Wu, Jiaqi Yao, Hong Zhu, Adu Gong, Jianhua Yang, Liuru Hu, Fan Mo   +7 more
openalex   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Machine Learning Assisted Prediction of Cathode Materials for Zn‐Ion Batteries [PDF]

, 2021
Linming Zhou, Archie Mingze Yao, Yongjun Wu, Ziyi Hu, Yuhui Huang, Zijian Hong   +5 more
openalex   +1 more source