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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1968 1
1984 1
1985 1
1986 1
1989 1
1993 1
2002 1
2004 2
2005 1
2006 1
2007 2
2008 1
2009 2
2010 1
2011 3
2012 3
2013 1
2014 5
2015 4
2016 2
2017 2
2018 2
2019 5
2020 4
2021 6
2022 3
2023 4
2024 5

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56 results

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Page 1
Fixed vs Measured Length of Stapes Prosthesis in Stapes Surgery.
Motasaddi Zarandy M, Amirzargar B, Golpayegani G, Motasaddizarandy M, Emami H. Motasaddi Zarandy M, et al. Indian J Otolaryngol Head Neck Surg. 2022 Dec;74(Suppl 3):3883-3886. doi: 10.1007/s12070-021-02707-5. Epub 2021 Jun 26. Indian J Otolaryngol Head Neck Surg. 2022. PMID: 36742824 Free PMC article.
It was conducted in two hospitals by two different well experienced otologic surgeons that one of them believes in fixed length (4.75 mm) of stapes prosthesis (group A) and, the other one believes in measuring the distance between the footplate and incus long proces …
It was conducted in two hospitals by two different well experienced otologic surgeons that one of them believes in fixed length
Dynamic Brain Interactions during Picture Naming.
Giahi Saravani A, Forseth KJ, Tandon N, Pitkow X. Giahi Saravani A, et al. eNeuro. 2019 Jul 11;6(4):ENEURO.0472-18.2019. doi: 10.1523/ENEURO.0472-18.2019. Print 2019 Jul/Aug. eNeuro. 2019. PMID: 31196941 Free PMC article.
We use an autoregressive Hidden Markov Model (ARHMM) to identify dynamical network states exhibited by electrocorticographic signals recorded from human neurosurgical patients. Our method resolves dynamic latent network states on a trial-by-trial basis. ...These network st …
We use an autoregressive Hidden Markov Model (ARHMM) to identify dynamical network states exhibited by electrocorticographic signals reco
Graph Representation Learning-Based Fixed-Length Clinical Feature Vector Generation from Heterogeneous Medical Records.
Seki T, Kawazoe Y, Ohe K. Seki T, et al. Stud Health Technol Inform. 2024 Jan 25;310:715-719. doi: 10.3233/SHTI231058. Stud Health Technol Inform. 2024. PMID: 38269902
Transformation of patient data extracted from a database into fixed-length numerical vectors requires expertise in topical medical knowledge as well as data manipulation-thus, manual feature design is labor-intensive. In this study, we propose a machine learning-bas …
Transformation of patient data extracted from a database into fixed-length numerical vectors requires expertise in topical med …
Without Wasting a Word: Extreme Improvements in Efficiency and Accuracy Using Computerized Adaptive Testing for Mental Health Disorders (CAT-MH).
Gibbons RD, deGruy FV. Gibbons RD, et al. Curr Psychiatry Rep. 2019 Jul 1;21(8):67. doi: 10.1007/s11920-019-1053-9. Curr Psychiatry Rep. 2019. PMID: 31264098 Review.
These tests have been validated in a variety of settings against lengthy structured clinical interviews with excellent results and even higher reliability than fixed-length tests. Applications include screening and assessments in emergency departments, psychiatric a …
These tests have been validated in a variety of settings against lengthy structured clinical interviews with excellent results and even high …
Low-Cost Sensor for Continuous Measurement of Brix in Liquids.
Jaywant SA, Singh H, Arif KM. Jaywant SA, et al. Sensors (Basel). 2022 Nov 25;22(23):9169. doi: 10.3390/s22239169. Sensors (Basel). 2022. PMID: 36501868 Free PMC article.
The pressure sensors were mounted inside custom-built water-tight housings connected together by fixed length metallic tubes containing the power and signal cables. ...During the fermentation experiments, fermentation was carried out in a 1000 L tank over 7 days and …
The pressure sensors were mounted inside custom-built water-tight housings connected together by fixed length metallic tubes c …
Deep embedded clustering of coral reef bioacoustics.
Ozanich E, Thode A, Gerstoft P, Freeman LA, Freeman S. Ozanich E, et al. J Acoust Soc Am. 2021 Apr;149(4):2587. doi: 10.1121/10.0004221. J Acoust Soc Am. 2021. PMID: 33940892
Deep embedded clustering (DEC) learned latent features and formed classification clusters using fixed-length power spectrograms of the signals. Handpicked spectral and temporal features were also extracted and clustered with Gaussian mixture models (GMM) and convent …
Deep embedded clustering (DEC) learned latent features and formed classification clusters using fixed-length power spectrogram …
One-Shot Imitation Drone Filming of Human Motion Videos.
Huang C, Dang Y, Chen P, Yang X, Cheng KT. Huang C, et al. IEEE Trans Pattern Anal Mach Intell. 2022 Sep;44(9):5335-5348. doi: 10.1109/TPAMI.2021.3067359. Epub 2022 Aug 4. IEEE Trans Pattern Anal Mach Intell. 2022. PMID: 33735075
This is achieved by two key enabling techniques: 1) filming style feature extraction, which encodes sequential cinematic characteristics of a variable-length video clip into a fixed-length feature vector; and 2) camera motion prediction, which dynamically plans the …
This is achieved by two key enabling techniques: 1) filming style feature extraction, which encodes sequential cinematic characteristics of …
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers.
Lu L, Elbeleidy S, Baker LZ, Wang H, Nie F. Lu L, et al. IEEE Trans Med Imaging. 2021 Mar;40(3):891-904. doi: 10.1109/TMI.2020.3041227. Epub 2021 Mar 2. IEEE Trans Med Imaging. 2021. PMID: 33253116
A critical challenge in using longitudinal neuroimaging data to study the progressions of Alzheimer's Disease (AD) is the varied number of missing records of the patients during the course when AD develops. To tackle this problem, in this paper we propose a novel formulati …
A critical challenge in using longitudinal neuroimaging data to study the progressions of Alzheimer's Disease (AD) is the varied number of m …
Max-depth-range technique for faster full-color hologram generation.
Sifatul Islam M, Piao YL, Zhao Y, Kwon KC, Cho E, Kim N. Sifatul Islam M, et al. Appl Opt. 2020 Apr 1;59(10):3156-3164. doi: 10.1364/AO.383946. Appl Opt. 2020. PMID: 32400598
In this paper, a max-depth-range method is proposed to determine the optimum length of depth range for faster generation of full-color holograms. For each color channel, objects are divided by a fixed length to create a temporary depth range, and the wavefront re
In this paper, a max-depth-range method is proposed to determine the optimum length of depth range for faster generation of full-color holog …
56 results