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Showing results for fine and makowski
Your search for Finkl and Makowski retrieved no results
What Does DALL-E 2 Know About Radiology?
Adams LC, Busch F, Truhn D, Makowski MR, Aerts HJWL, Bressem KK. Adams LC, et al. J Med Internet Res. 2023 Mar 16;25:e43110. doi: 10.2196/43110. J Med Internet Res. 2023. PMID: 36927634 Free PMC article.
The use of generative models for augmenting and generating radiological data thus seems feasible, even if the further fine-tuning and adaptation of these models to their respective domains are required first....
The use of generative models for augmenting and generating radiological data thus seems feasible, even if the further fine-tuning and …
Computational optimization of antibody humanness and stability by systematic energy-based ranking.
Tennenhouse A, Khmelnitsky L, Khalaila R, Yeshaya N, Noronha A, Lindzen M, Makowski EK, Zaretsky I, Sirkis YF, Galon-Wolfenson Y, Tessier PM, Abramson J, Yarden Y, Fass D, Fleishman SJ. Tennenhouse A, et al. Nat Biomed Eng. 2024 Jan;8(1):30-44. doi: 10.1038/s41551-023-01079-1. Epub 2023 Aug 7. Nat Biomed Eng. 2024. PMID: 37550425
However, this process can substantially lower antibody stability and antigen-binding affinity, and requires iterative mutational fine-tuning to recover the original antibody properties. Here we report a computational method for the systematic grafting of animal complementa …
However, this process can substantially lower antibody stability and antigen-binding affinity, and requires iterative mutational fine
NeuroKit2: A Python toolbox for neurophysiological signal processing.
Makowski D, Pham T, Lau ZJ, Brammer JC, Lespinasse F, Pham H, Schölzel C, Chen SHA. Makowski D, et al. Behav Res Methods. 2021 Aug;53(4):1689-1696. doi: 10.3758/s13428-020-01516-y. Epub 2021 Feb 2. Behav Res Methods. 2021. PMID: 33528817
The package also includes tools for specific processing steps such as rate extraction and filtering methods, offering a trade-off between high-level convenience and fine-tuned control. Its goal is to improve transparency and reproducibility in neurophysiological research, …
The package also includes tools for specific processing steps such as rate extraction and filtering methods, offering a trade-off between hi …
On the interplay of temporal resolution power and spatial suppression in their prediction of psychometric intelligence.
Makowski LM, Rammsayer TH, Tadin D, Thomas P, Troche SJ. Makowski LM, et al. PLoS One. 2022 Sep 19;17(9):e0274809. doi: 10.1371/journal.pone.0274809. eCollection 2022. PLoS One. 2022. PMID: 36121867 Free PMC article.
As a measure of the brain's temporal fine-tuning capacity, temporal resolution power (TRP) explained repeatedly a substantial amount of variance in psychometric intelligence. ...
As a measure of the brain's temporal fine-tuning capacity, temporal resolution power (TRP) explained repeatedly a substantial amount …
Molecular analysis and fine specificity of antibodies against an organophosphorus hapten.
Buenafe AC, Makowski FF, Rittenberg MB. Buenafe AC, et al. J Immunol. 1989 Jul 15;143(2):539-45. J Immunol. 1989. PMID: 2500482
We have identified four fine specificity groups reactive with the organophosphorus hapten Soman among 46 hybridomas generated in specific response to immunization with Soman-keyhole limpet hemocyanin (KLH). The different fine specificity groups do not appear to corr …
We have identified four fine specificity groups reactive with the organophosphorus hapten Soman among 46 hybridomas generated in spec …
Meta-modeling methods for estimating ammonia volatilization from nitrogen fertilizer and manure applications.
Ramanantenasoa MMJ, Génermont S, Gilliot JM, Bedos C, Makowski D. Ramanantenasoa MMJ, et al. J Environ Manage. 2019 Apr 15;236:195-205. doi: 10.1016/j.jenvman.2019.01.066. Epub 2019 Feb 5. J Environ Manage. 2019. PMID: 30731243
Process-based models such as Volt'Air can be used for this purpose because they incorporate the effects of several key factors influencing NH(3) volatilization at fine spatio-temporal resolutions. However, these models require a large number of input variables and their im …
Process-based models such as Volt'Air can be used for this purpose because they incorporate the effects of several key factors influencing N …
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
Bressem KK, Adams LC, Gaudin RA, Tröltzsch D, Hamm B, Makowski MR, Schüle CY, Vahldiek JL, Niehues SM. Bressem KK, et al. Bioinformatics. 2021 Jan 29;36(21):5255-5261. doi: 10.1093/bioinformatics/btaa668. Bioinformatics. 2021. PMID: 32702106
In contrast, BERT models can be pre-trained on unlabelled data and then only require fine tuning on a small amount of manually labelled data to achieve even better results. ...Our approach could therefore help to improve information extraction from free-text medical report …
In contrast, BERT models can be pre-trained on unlabelled data and then only require fine tuning on a small amount of manually labell …
A common intronic variant of PARP1 confers melanoma risk and mediates melanocyte growth via regulation of MITF.
Choi J, Xu M, Makowski MM, Zhang T, Law MH, Kovacs MA, Granzhan A, Kim WJ, Parikh H, Gartside M, Trent JM, Teulade-Fichou MP, Iles MM, Newton-Bishop JA, Bishop DT, MacGregor S, Hayward NK, Vermeulen M, Brown KM. Choi J, et al. Nat Genet. 2017 Sep;49(9):1326-1335. doi: 10.1038/ng.3927. Epub 2017 Jul 31. Nat Genet. 2017. PMID: 28759004 Free article.
Expression quantitative trait locus (eQTL) analysis in multiple cell types of the melanocytic lineage consistently demonstrated that the 1q42.1 melanoma risk allele (rs3219090[G]) is correlated with higher PARP1 levels. In silico fine-mapping and functional validation iden …
Expression quantitative trait locus (eQTL) analysis in multiple cell types of the melanocytic lineage consistently demonstrated that the 1q4 …
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