Results 231 to 240 of about 84,699 (302)

Decoding the Black Box in Deep Learning Models-Reply. [PDF]

JAMA Otolaryngol Head Neck Surg
Novi SL, Isaiah A.
europepmc   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

DL-Reg: A deep learning regularization technique using linear regression

Expert Systems with Applications
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani 0001, Safoura Dialameh, Hyock Ju Kwon   +4 more
openaire   +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications

Arthritis &Rheumatology, EarlyView.
Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó, Laurel Woodridge, Sagrario Corrales, Juan Rafael Muñoz‐Castañeda, Ana Isabel Torralbo, Anisur Rahman, Filipa Farinha, Rafaela Ortega Castro, Pedro Segui, Ismael Sanchez‐Pareja, Laura Muñoz‐Barrera, Christian Merlo, Desiree Ruiz‐Vilchez, M. Carmen Ábalos‐Aguilera, Pilar Font, Nuria Barbarroja Puerto, PRECISESADS Clinical Consortium, Lorenzo Beretta, Barbara Vigone, Jacques‐Olivier Pers, Alain Saraux, Valérie Devauchelle‐Pensec, Divi Cornec, Sandrine Jousse‐Joulin, Bernard Lauwerys, Julie Ducreux, Anne‐Lise Maudoux, Carlos Vasconcelos, Ana Tavares, Esmeralda Neves, Raquel Faria, Mariana Brandão, Ana Campar, António Marinho, Fátima Farinha, Isabel Almeida, Miguel Angel Gonzalez‐Gay Mantecón, Ricardo Blanco Alonso, Alfonso Corrales Martínez, Ricard Cervera, Ignasi Rodríguez‐Pintó, Gerard Espinosa, Rik Lories, Ellen De Langhe, Nicolas Hunzelmann, Doreen Belz, Torsten Witte, Niklas Baerlecken, Georg Stummvoll, Michael Zauner, Michaela Lehner, Eduardo Collantes, Ma Carmen Castro‐Villegas, Norberto Ortego, María Concepción Fernández Roldán, Enrique Raya, Inmaculada Jiménez Moleón, Enrique de Ramon, Isabel Díaz Quintero, Pier Luigi Meroni, Maria Gerosa, Tommaso Schioppo, Carolina Artusi, Carlo Chizzolini, Aleksandra Zuber, Donatienne Wynar, Laszló Kovács, Attila Balog, Magdolna Deák, Márta Bocskai, Sonja Dulic, Gabriella Kádár, Falk Hiepe, Velia Gerl, Silvia Thiel, Manuel Rodriguez Maresca, Antonio López‐Berrio, Rocío Aguilar‐Quesada, Héctor Navarro‐Linares, Marta Alarcón‐Riquelme, Alejandro Escudero‐Contreras, M. Ángeles Aguirre‐Zamorano, Carlos Perez‐Sanchez, Elizabeth C. Jury, Chary Lopez‐Pedrera   +84 more
wiley   +1 more source

An Exploration of Craniofacial Features in Obstructive Sleep Apnea Using the Explainable Deep Learning Approaches. [PDF]

Nat Sci Sleep
Luo L, Yang R, Pei Z, Yu M, Gong X, Lei Y, Wang Q, Gao X.   +7 more
europepmc   +1 more source

High‐Resolution Deep Learning Dixon Magnetic Resonance Imaging of the Sacroiliac Joints Is Noninferior to Standard Magnetic Resonance Imaging in Patients With Suspected Axial Spondyloarthritis

Arthritis &Rheumatology, EarlyView.
Objective To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high‐resolution deep learning–reconstructed Dixon sequence (DL‐Dixon) in patients with suspected axial spondyloarthritis (axSpA). Methods Seventy‐six patients with chronic low back pain and suspected axSpA underwent clinical,
Dominik Deppe, Mariam Koka, Fabian Proft, Sevtap Tugce Ulas, Kay‐Geert Hermann, Denis Poddubnyy, Mikhail Protopopov, Henriette Baum, Hildrun Haibel, Mehrgan Shahryari, Valeria Rios Rodriguez, Jens Vogel‐Claussen, Torsten Diekhoff   +12 more
wiley   +1 more source

Interpretable deep learning for rotator cuff calcific tendinopathy diagnosis: a multi-center study. [PDF]

Sci Rep
Bautista JM, Peris JL, Carrillo FY, Iglesias LL, Vega JA, Fernández-Miranda PM.   +5 more
europepmc   +1 more source

Development of interactive MRI‐based 3D visualization tools for neuroanatomy education in Latin America

Anatomical Sciences Education, EarlyView.
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair, Diego Cureño, Alejandro De León Cuevas, Paola Ocampo Luna, Marta Bianciardi, María G. García‐Gomar   +5 more
wiley   +1 more source

Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine. [PDF]

Int J Nanomedicine
Chakraborty A, Gholap AD, Khuspe PR, Sundaram G, Webster TJ, Khalid M, Haris MS, Faiyazuddin M.   +7 more
europepmc   +1 more source