Results 101 to 110 of about 154,240 (279)

Leveraging pre-trained vision Transformers for multi-band photometric light curve classification

Context. The advent of large-scale sky surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), will generate vast volumes of photometric data, necessitating automatic classification of light curves to identify variable ...
P. Protopapas, M. Cádiz-Leyton, C. Donoso-Oliva, I. Becker, G. Cabrera-Vives, D. Moreno-Cartagena   +5 more
core   +1 more source

SuperNNova light-curve simulations

, 2019
Simulations used in SuperNNova: an open-source framework for Bayesian, Neural Network based supernova classification. Publication can be found in https://arxiv.org/abs/1901.06384 Supernova light-curves (1,983,213) simulated using SNANA and their SALT2 ...
Möller, Anais (6904460), de Boissière, Thibault, Möller, Anais, de Boissière, Thibault (6904463)   +3 more
core   +1 more source

CAR T‐Cell Therapy in Neurology: A Scoping Review of Neuro‐Oncology, Autoimmune Diseases & Neurotoxicity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapy has been investigated in neurological diseases, encompassing both central nervous system malignancies and autoimmune disorders, thereby extending its application beyond hematological cancers.
Omar Alqaisi, Mohammed Dibas, Patricia Tai, Ala Dibas, Osama Souied, Suhair Al‐Ghabeesh   +5 more
wiley   +1 more source

Classification performance assessment for imbalanced multiclass data

Scientific Reports
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine.
Jesús S. Aguilar-Ruiz, Marcin Michalak
doaj   +1 more source

Classifying Variable Stars from Stellar Light Curve Data

, 2023
Due to advances in collection techniques, variable star light curve data is being produced faster than the existing curves can be classified. Automated classification has been attempted, but most endeavors use sophisticated techniques to extract high ...
Parker, Ryan
core  

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

TTC: Transformer-based TDE Classifier for the Wide Field Survey Telescope (WFST)

The Astrophysical Journal
We propose the Transformer-based Tidal disruption events (TDE) Classifier ( TTC ), specifically designed to operate effectively with both real-time alert streams and archival data of the Wide Field Survey Telescope (WFST).
Ranfang Zheng, Zheyu Lin, Xu Kong, Dezheng Meng, Zelin Xu, Lulu Fan, Ji-an Jiang, Ning Jiang, Jie Lin, Tinggui Wang, Qingfeng Zhu, Feng Li, Ming Liang, Hao Liu, Zheng Lou, Wentao Luo, Jinlong Tang, Hairen Wang, Jian Wang, Yongquan Xue, Dazhi Yao, Hong-fei Zhang, Wen Zhao, Xianzhong Zheng, Yingxi Zuo   +24 more
doaj   +1 more source

Classification of Light curves of the Black Hole Candidate GRS1915+105

, 2000
Latex file with two ...
Nandi, Anuj, Manickam, Sivakumar G., Chakrabarti, Sandip K.   +2 more
openaire   +2 more sources

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

ORACLE: A Real-time, Hierarchical, Deep Learning Photometric Classifier for the LSST

The Astrophysical Journal
We present the Online Ranked Astrophysical CLass Estimator (ORACLE), the first hierarchical deep-learning model for real-time, context-aware classification of transient and variable astrophysical phenomena. ORACLE is a recurrent neural network with gated
Ved G. Shah, Alex Gagliano, Konstantin Malanchev, Gautham Narayan, Alex I. Malz, and the LSST Dark Energy Science Collaboration   +5 more
doaj   +1 more source