Results 111 to 120 of about 84,743 (206)

Correction to: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs. [PDF]

Abdom Radiol (NY)
Bejar AM, Jaramillo Gonzalez M, Hong Z, Durak G, Keles E, Aktas HE, Zhang Z, Pan H, Jozwiak ZS, Bol F, Zhao L, Chen C, Spampinato C, Medetalibeyoglu A, Erturk SM, Kartal GD, Velichko Y, Agarunov E, Xu Z, Jambawalikar S, Schoots IG, Bruno MJ, Huang C, Gonda T, Bolan C, Miller FH, Wallace MB, Keswani RN, Tiwari P, Bagci U.   +29 more
europepmc   +1 more source

Near-real-time interactive N-body model of the left atrium for exploratory arrhythmia induction and ablation simulation. [PDF]

Heart Rhythm O2
Wyatt B, Rogers L, Bane M, Moor K, Alcorn P, Williams G, Brawner K, Wyatt M, Puelz C.   +8 more
europepmc   +1 more source

Dynamic Risk Inference Method for Chemical Industrial Inspection Based on Spatio-Temporal Scene Graphs. [PDF]

Sensors (Basel)
Zhou M, Wang L, Li S, Ding Z.
europepmc   +1 more source

Workflow for Fine-Tuning and Evaluating DNA Language Models for Specific Genomics Issues. [PDF]

Bio Protoc
Nakamae K, Bono H.
europepmc   +1 more source

LeanCOD: Real-Time Small Camouflaged Object Detection on Edge Devices. [PDF]

Sensors (Basel)
Kim Y, He D, Cho YH.
europepmc   +1 more source

Vision-Based Autonomous Quadrupedal Robot for Rapid Post-Earthquake Crack-Based Building Damage Detection. [PDF]

Sensors (Basel)
Hacıefendioğlu K, Günaydın M, Bostan A, Altunışık AC.   +3 more
europepmc   +1 more source

Measuring Consistency Between Large Language Models' Responses to Preventive Care Queries and Official US Preventive Services Task Force (USPSTF) Recommendations: Systematic Test Involving All USPSTF Preventive Care Topics via Simulated User Prompts. [PDF]

JMIR AI
Johnson T, Gaissmaier W.
europepmc   +1 more source

Generative semantic reconstruction for annotation-ready vegetation priors in spectrally heterogeneous imagery. [PDF]

MethodsX
Rana S, Hensel O, Nasirahmadi A.
europepmc   +1 more source

Transforming subcellular spatial transcriptomics: deep learning models for cell segmentation. [PDF]

Nucleic Acids Res
Rathbun IA, Banskota N, Lehrmann E, Gorospe M, De S.   +4 more
europepmc   +1 more source