Results 81 to 90 of about 10,742,237 (292)

Spatial-Frequency Collaborative Learning Network for Remote Sensing Change Detection

Remote Sensing
Recent advances in deep learning have substantially improved remote sensing change detection. However, most existing models still describe bi-temporal differences mainly from the spatial domain, making it difficult to fully capture complementary ...
Mengmeng Wang, Jie He, Chaohu Zhou, Diping Huang, Ya Qu, Bai Zhu, Qicai Xie   +6 more
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

An active learning framework for drone classification in radio frequency domain [PDF]

Scientific Technical Review
Radio-frequency–based drone classification is a critical capability for modern antidrone systems. However, the development of dependable artificial intelligence models in this domain is hindered by the high cost and complexity of expert data labeling ...
Sazdić-Jotić Boban, Ilić Velibor, Miletić Ninko, Mikanović Darko   +3 more
doaj   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

Spatial–Frequency Contrastive Learning for Self-Supervised Semantic Segmentation of Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Self-supervised learning has shown strong potential for remote sensing semantic segmentation by exploiting large amounts of unlabeled data. However, existing methods face several challenges when applied to remote sensing images, including limited use of ...
Yujia Fu, Mingyang Wang, Danfeng Hong, Gemine Vivone   +3 more
doaj   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Frequency-Aware Decision Transformer for Offline Policy Learning in Adaptive Twin Control

IEEE Open Journal of Vehicular Technology
Adaptive twin control provides a promising paradigm for learning and evaluating control policies using historical trajectories and simulated system responses, especially when direct interaction with physical systems is costly or unsafe. In this paper, we
Cao Han, Ran Chen, Shuaizhen Yao, Chunyan Xu, Xiaowei Mei   +4 more
doaj   +1 more source

Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction

CoRR, 2019
Ill-posed inverse problems in imaging remain an active research topic in several decades, with new approaches constantly emerging. Recognizing that the popular dictionary learning and convolutional sparse coding are both essentially modeling the high-frequency component of an image, which convey most of the semantic information such as texture details,
Zhuonan He, Jinjie Zhou, Dong Liang 0001, Yuhao Wang 0001, Qiegen Liu   +4 more
openaire   +3 more sources

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source