Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 203

1.

Practices and challenges on coordinating the Brazilian Unified Health System.

Bastos LBR, Barbosa MA, Rosso CFW, Oliveira LMAC, Ferreira IP, Bastos DAS, Paiva ACJ, Santos AASD.

Rev Saude Publica. 2020 Feb 17;54:25. doi: 10.11606/s1518-8787.2020054001512. eCollection 2020. English, Portuguese.

2.

Interferometer eye image classification for dry eye categorization using phylogenetic diversity indexes for texture analysis.

da Cruz LB, Souza JC, de Sousa JA, Santos AM, de Paiva AC, de Almeida JDS, Silva AC, Junior GB, Gattass M.

Comput Methods Programs Biomed. 2019 Dec 10;188:105269. doi: 10.1016/j.cmpb.2019.105269. [Epub ahead of print]

PMID:
31846832
3.

Acid-sensing ion channels blockade attenuates pressor and sympathetic responses to skeletal muscle metaboreflex activation in humans.

Campos MO, Mansur DE, Mattos JD, Paiva ACS, Videira RLR, Macefield VG, da Nóbrega ACL, Fernandes IA.

J Appl Physiol (1985). 2019 Nov 1;127(5):1491-1501. doi: 10.1152/japplphysiol.00401.2019. Epub 2019 Sep 23.

PMID:
31545154
4.

Strategies for the evaluation of interventions for the control of tuberculosis: integrative review.

Silva SYBE, Pinto ESG, Medeiros ER, Rebouças DGDC, Paiva ACS, Nascimento CPAD, Souza NL.

Rev Bras Enferm. 2019 Sep 16;72(5):1370-1377. doi: 10.1590/0034-7167-2017-0922. English, Portuguese.

5.

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.

Souza JC, Bandeira Diniz JO, Ferreira JL, França da Silva GL, Corrêa Silva A, de Paiva AC.

Comput Methods Programs Biomed. 2019 Aug;177:285-296. doi: 10.1016/j.cmpb.2019.06.005. Epub 2019 Jun 6.

PMID:
31319957
6.

Corrigendum: Contribution of the Alkylquinolone Quorum-Sensing System to the Interaction of Pseudomonas Aeruginosa With Bronchial Epithelial Cells.

Liu YC, Hussain F, Negm O, Paiva AC, Halliday N, Dubern JF, Singh S, Muntaka S, Wheldon L, Luckett J, Tighe P, Bosquillon C, Williams P, Cámara M, Martínez-Pomares L.

Front Microbiol. 2019 Feb 21;10:314. doi: 10.3389/fmicb.2019.00314. eCollection 2019.

7.

Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.

Diniz JOB, Diniz PHB, Valente TLA, Silva AC, Paiva AC.

Comput Methods Programs Biomed. 2019 Mar;170:53-67. doi: 10.1016/j.cmpb.2019.01.005. Epub 2019 Jan 15.

PMID:
30712604
8.

Pathophysiological mapping of tumor habitats in the breast in DCE-MRI using molecular texture descriptor.

da Silva Neto OP, Araújo JDL, Caldas Oliveira AG, Cutrim M, Silva AC, Paiva AC, Gattass M.

Comput Biol Med. 2019 Mar;106:114-125. doi: 10.1016/j.compbiomed.2019.01.017. Epub 2019 Jan 26.

PMID:
30711799
9.

Does the Level of Difficulty in Balancing Tasks Affect Haptic Sensitivity Via Light Touch?

Magre FL, Costa TDAD, Paiva ACS, Moraes R, Mauerberg-deCastro E.

J Mot Behav. 2020;52(1):1-12. doi: 10.1080/00222895.2019.1565529. Epub 2019 Jan 24.

PMID:
30676290
10.

Muscle sympathetic nerve activity and hemodynamic responses to venous distension: does sex play a role?

Mansur DE, Campos MO, Mattos JD, Paiva ACS, Rocha MP, Videira RLR, Macefield VG, Nóbrega ACL, Fernandes IA.

Am J Physiol Heart Circ Physiol. 2019 Mar 1;316(3):H734-H742. doi: 10.1152/ajpheart.00702.2018. Epub 2018 Dec 28.

PMID:
30592900
11.

Correction to: Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine.

Santos AM, Paiva AC, Santos APM, Mpinda SAT, Gomes DL Jr, Silva AC, Braz G Jr, de Almeida JDS, Gattas M.

Biomed Eng Online. 2018 Nov 8;17(1):167. doi: 10.1186/s12938-018-0598-x.

12.

Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung Lesions.

Netto SMB, Bandeira Diniz JO, Silva AC, de Paiva AC, Nunes RA, Gattass M.

IEEE Trans Image Process. 2019 Apr;28(4):1813-1823. doi: 10.1109/TIP.2018.2878954. Epub 2018 Oct 31.

PMID:
30387727
13.

Semivariogram and Semimadogram functions as descriptors for AMD diagnosis on SD-OCT topographic maps using Support Vector Machine.

Santos AM, Paiva AC, Santos APM, Mpinda SAT, Gomes DL Jr, Silva AC, Braz G Jr, de Almeida JDS, Gattas M.

Biomed Eng Online. 2018 Oct 23;17(1):160. doi: 10.1186/s12938-018-0592-3. Erratum in: Biomed Eng Online. 2018 Nov 8;17(1):167. Gattass M [corrected to Gattas M].

14.

Studies evaluating of health interventions at schools: an integrative literature review.

Medeiros ER, Rebouças DGDC, Paiva ACS, Nascimento CPAD, Silva SYBE, Pinto ESG.

Rev Lat Am Enfermagem. 2018 Jul 16;26:e3008. doi: 10.1590/1518-8345.2463.3008. English, Portuguese, Spanish.

15.

Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.

da Silva GLF, Valente TLA, Silva AC, de Paiva AC, Gattass M.

Comput Methods Programs Biomed. 2018 Aug;162:109-118. doi: 10.1016/j.cmpb.2018.05.006. Epub 2018 May 9.

PMID:
29903476
16.

Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance.

de Sousa Costa RW, da Silva GLF, de Carvalho Filho AO, Silva AC, de Paiva AC, Gattass M.

Med Biol Eng Comput. 2018 Nov;56(11):2125-2136. doi: 10.1007/s11517-018-1841-0. Epub 2018 May 23.

PMID:
29790102
17.

Undifferentiated pleomorphic sarcoma.

Paiva ACG, Abreu MAMM, Souza MP.

An Bras Dermatol. 2018 Jan-Feb;93(1):154-155. doi: 10.1590/abd1806-4841.20186613. No abstract available.

18.

Sublethal effects of insecticides used in soybean on the parasitoid Trichogramma pretiosum.

de Paiva ACR, Beloti VH, Yamamoto PT.

Ecotoxicology. 2018 May;27(4):448-456. doi: 10.1007/s10646-018-1909-5. Epub 2018 Feb 19.

PMID:
29460059
19.

Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.

Bandeira Diniz JO, Bandeira Diniz PH, Azevedo Valente TL, Corrêa Silva A, de Paiva AC, Gattass M.

Comput Methods Programs Biomed. 2018 Mar;156:191-207. doi: 10.1016/j.cmpb.2018.01.007. Epub 2018 Jan 11.

20.

Could adverse effects and complications of selective laser trabeculoplasty be decreased by low-power laser therapy?

Paiva ACM, da Fonseca AS.

Int Ophthalmol. 2019 Jan;39(1):243-257. doi: 10.1007/s10792-017-0775-0. Epub 2017 Nov 30. Review.

PMID:
29189945
21.

3D shape analysis to reduce false positives for lung nodule detection systems.

Filho AOC, Silva AC, de Paiva AC, Nunes RA, Gattass M.

Med Biol Eng Comput. 2017 Aug;55(8):1199-1213. doi: 10.1007/s11517-016-1582-x. Epub 2016 Oct 17.

PMID:
27752930
22.

Construction of a full-length infectious cDNA clone of Cowpea mild mottle virus.

Carvalho SL, Nagata T, Junqueira BR, Zanardo LG, Paiva AC, Carvalho CM.

Virus Genes. 2017 Feb;53(1):137-140. doi: 10.1007/s11262-016-1395-x. Epub 2016 Oct 11.

PMID:
27730428
23.

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

de Carvalho Filho AO, Silva AC, de Paiva AC, Nunes RA, Gattass M.

Med Biol Eng Comput. 2017 Aug;55(8):1129-1146. doi: 10.1007/s11517-016-1577-7. Epub 2016 Oct 3.

PMID:
27699621
24.

Reproducibility, Reliability, and Validity of Fuchsin-Based Beads for the Evaluation of Masticatory Performance.

Sánchez-Ayala A, Farias-Neto A, Vilanova LS, Costa MA, Paiva AC, Carreiro Ada F, Mestriner-Junior W.

J Prosthodont. 2016 Aug;25(6):446-52. doi: 10.1111/jopr.12348. Epub 2015 Sep 15.

PMID:
26371787
25.

Surgical planning for horizontal strabismus using Support Vector Regression.

Almeida JD, Silva AC, Teixeira JA, Paiva AC, Gattass M.

Comput Biol Med. 2015 Aug;63:178-86. doi: 10.1016/j.compbiomed.2015.05.025. Epub 2015 Jun 6.

PMID:
26093785
26.

Computer-Aided Methodology for Syndromic Strabismus Diagnosis.

Sousa de Almeida JD, Silva AC, Teixeira JA, Paiva AC, Gattass M.

J Digit Imaging. 2015 Aug;28(4):462-73. doi: 10.1007/s10278-014-9758-0.

27.

Body mass index in the first year after kidney transplantation.

Costa B, Moratelli L, Silva LB, Paiva AC, Silva AN, Carminatti M, Bastos MG, Sanders-Pinheiro H.

Transplant Proc. 2014 Jul-Aug;46(6):1750-2. doi: 10.1016/j.transproceed.2014.05.021.

PMID:
25131027
28.

Asthma: Gln27Glu and Arg16Gly polymorphisms of the beta2-adrenergic receptor gene as risk factors.

de Paiva AC, Marson FA, Ribeiro JD, Bertuzzo CS.

Allergy Asthma Clin Immunol. 2014 Feb 5;10(1):8. doi: 10.1186/1710-1492-10-8.

29.

Characteristics of sexual violence against adolescent girls and adult women.

Blake Mde T, Drezett J, Vertamatti MA, Adami F, Valenti VE, Paiva AC, Viana JM, Pedroso D, de Abreu LC.

BMC Womens Health. 2014 Jan 22;14:15. doi: 10.1186/1472-6874-14-15.

30.

Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index.

de Carvalho Filho AO, de Sampaio WB, Silva AC, de Paiva AC, Nunes RA, Gattass M.

Artif Intell Med. 2014 Mar;60(3):165-77. doi: 10.1016/j.artmed.2013.11.002. Epub 2013 Nov 16.

PMID:
24332156
31.

Detection of masses based on asymmetric regions of digital bilateral mammograms using spatial description with variogram and cross-variogram functions.

Ericeira DR, Silva AC, de Paiva AC, Gattass M.

Comput Biol Med. 2013 Sep;43(8):987-99. doi: 10.1016/j.compbiomed.2013.04.019. Epub 2013 May 6.

32.

Short peptide constructs mimic agonist sites of AT(1)R and BK receptors.

Lopes DD, Vieira RF, Malavolta L, Poletti EF, Shimuta SI, Paiva AC, Schreier S, Oliveira L, Nakaie CR.

Amino Acids. 2013 Mar;44(3):835-46. doi: 10.1007/s00726-012-1405-9. Epub 2012 Oct 25.

PMID:
23096780
33.

Computational methodology for automatic detection of strabismus in digital images through Hirschberg test.

Almeida JD, Silva AC, Paiva AC, Teixeira JA.

Comput Biol Med. 2012 Jan;42(1):135-46. doi: 10.1016/j.compbiomed.2011.11.001. Epub 2011 Nov 26.

PMID:
22119221
34.

Detection of masses in mammogram images using CNN, geostatistic functions and SVM.

Sampaio WB, Diniz EM, Silva AC, de Paiva AC, Gattass M.

Comput Biol Med. 2011 Aug;41(8):653-64. doi: 10.1016/j.compbiomed.2011.05.017. Epub 2011 Jun 23.

35.

An analysis of reproducibility of DAI and IOTN indexes in a Brazilian scene.

Lima RB, Paiva AC, Farias AC, Lima KC.

Cien Saude Colet. 2010 May;15(3):785-92.

36.

Quality indicators for the prevention of type 2 diabetes in Europe--IMAGE.

Pajunen P, Landgraf R, Muylle F, Neumann A, Lindström J, Schwarz PE, Peltonen M, Acosta T, Adler M, AlKerwi A, Barengo N, Barengo R, Boavida JM, Charlesworth K, Christov V, Claussen B, Cos X, Cosson E, Deceukelier S, Dimitrijevic-Sreckovic V, Djordjevic P, Evans P, Felton AM, Fischer M, Gabriel-Sanchez R, Gilis-Januszewska A, Goldfracht M, Gomez JL, Greaves CJ, Hall M, Handke U, Hauner H, Herbst J, Hermanns N, Herrebrugh L, Huber C, Hühmer U, Huttunen J, Jotic A, Kamenov Z, Karadeniz S, Katsilambros N, Khalangot M, Kissimova-Skarbek K, Köhler D, Kopp V, Kronsbein P, Kulzer B, Kyne-Grzebalski D, Lalic K, Lalic N, Landgraf R, Lee-Barkey YH, Liatis S, Lindström J, Makrilakis K, McIntosh C, McKee M, Mesquita AC, Misina D, Muylle F, Neumann A, Paiva AC, Pajunen P, Paulweber B, Peltonen M, Perrenoud L, Pfeiffer A, Pölönen A, Puhl S, Raposo F, Reinehr T, Rissanen A, Robinson C, Roden M, Rothe U, Saaristo T, Scholl J, Schwarz PE, Sheppard KE, Spiers S, Stemper T, Stratmann B, Szendroedi J, Szybinski Z, Tankova T, Telle-Hjellset V, Terry G, Tolks D, Toti F, Tuomilehto J, Undeutsch A, Valadas C, Valensi P, Velickiene D, Vermunt P, Weiss R, Wens J, Yilmaz T.

Horm Metab Res. 2010 Apr;42 Suppl 1:S56-63. doi: 10.1055/s-0029-1240976. Epub 2010 Apr 13.

37.

Take action to prevent diabetes--the IMAGE toolkit for the prevention of type 2 diabetes in Europe.

Lindström J, Neumann A, Sheppard KE, Gilis-Januszewska A, Greaves CJ, Handke U, Pajunen P, Puhl S, Pölönen A, Rissanen A, Roden M, Stemper T, Telle-Hjellset V, Tuomilehto J, Velickiene D, Schwarz PE, Acosta T, Adler M, AlKerwi A, Barengo N, Barengo R, Boavida JM, Charlesworth K, Christov V, Claussen B, Cos X, Cosson E, Deceukelier S, Dimitrijevic-Sreckovic V, Djordjevic P, Evans P, Felton AM, Fischer M, Gabriel-Sanchez R, Gilis-Januszewska A, Goldfracht M, Gomez JL, Greaves CJ, Hall M, Handke U, Hauner H, Herbst J, Hermanns N, Herrebrugh L, Huber C, Hühmer U, Huttunen J, Jotic A, Kamenov Z, Karadeniz S, Katsilambros N, Khalangot M, Kissimova-Skarbek K, Köhler D, Kopp V, Kronsbein P, Kulzer B, Kyne-Grzebalski D, Lalic K, Lalic N, Landgraf R, Lee-Barkey YH, Liatis S, Lindström J, Makrilakis K, McIntosh C, McKee M, Mesquita AC, Misina D, Muylle F, Neumann A, Paiva AC, Pajunen P, Paulweber B, Peltonen M, Perrenoud L, Pfeiffer A, Pölönen A, Puhl S, Raposo F, Reinehr T, Rissanen A, Robinson C, Roden M, Rothe U, Saaristo T, Scholl J, Schwarz PE, Sheppard KE, Spiers S, Stemper T, Stratmann B, Szendroedi J, Szybinski Z, Tankova T, Telle-Hjellset V, Terry G, Tolks D, Toti F, Tuomilehto J, Undeutsch A, Valadas C, Valensi P, Velickiene D, Vermunt P, Weiss R, Wens J, Yilmaz T.

Horm Metab Res. 2010 Apr;42 Suppl 1:S37-55. doi: 10.1055/s-0029-1240975. Epub 2010 Apr 13.

PMID:
20391307
38.

A European evidence-based guideline for the prevention of type 2 diabetes.

Paulweber B, Valensi P, Lindström J, Lalic NM, Greaves CJ, McKee M, Kissimova-Skarbek K, Liatis S, Cosson E, Szendroedi J, Sheppard KE, Charlesworth K, Felton AM, Hall M, Rissanen A, Tuomilehto J, Schwarz PE, Roden M, Paulweber M, Stadlmayr A, Kedenko L, Katsilambros N, Makrilakis K, Kamenov Z, Evans P, Gilis-Januszewska A, Lalic K, Jotic A, Djordevic P, Dimitrijevic-Sreckovic V, Hühmer U, Kulzer B, Puhl S, Lee-Barkey YH, AlKerwi A, Abraham C, Hardeman W, Acosta T, Adler M, AlKerwi A, Barengo N, Barengo R, Boavida JM, Charlesworth K, Christov V, Claussen B, Cos X, Cosson E, Deceukelier S, Dimitrijevic-Sreckovic V, Djordjevic P, Evans P, Felton AM, Fischer M, Gabriel-Sanchez R, Gilis-Januszewska A, Goldfracht M, Gomez JL, Greaves CJ, Hall M, Handke U, Hauner H, Herbst J, Hermanns N, Herrebrugh L, Huber C, Hühmer U, Huttunen J, Jotic A, Kamenov Z, Karadeniz S, Katsilambros N, Khalangot M, Kissimova-Skarbek K, Köhler D, Kopp V, Kronsbein P, Kulzer B, Kyne-Grzebalski D, Lalic K, Lalic N, Landgraf R, Lee-Barkey YH, Liatis S, Lindström J, Makrilakis K, McIntosh C, McKee M, Mesquita AC, Misina D, Muylle F, Neumann A, Paiva AC, Pajunen P, Paulweber B, Peltonen M, Perrenoud L, Pfeiffer A, Pölönen A, Puhl S, Raposo F, Reinehr T, Rissanen A, Robinson C, Roden M, Rothe U, Saaristo T, Scholl J, Schwarz PE, Sheppard KE, Spiers S, Stemper T, Stratmann B, Szendroedi J, Szybinski Z, Tankova T, Telle-Hjellset V, Terry G, Tolks D, Toti F, Tuomilehto J, Undeutsch A, Valadas C, Valensi P, Velickiene D, Vermunt P, Weiss R, Wens J, Yilmaz T.

Horm Metab Res. 2010 Apr;42 Suppl 1:S3-36. doi: 10.1055/s-0029-1240928. Epub 2010 Apr 13.

39.

Effects of protein quality on appetite and energy metabolism in normal weight subjects.

Alfenas Rde C, Bressan J, Paiva AC.

Arq Bras Endocrinol Metabol. 2010 Feb;54(1):45-51.

PMID:
20414547
40.
41.

Methodology for automatic detection of lung nodules in computerized tomography images.

Sousa JR, Silva AC, de Paiva AC, Nunes RA.

Comput Methods Programs Biomed. 2010 Apr;98(1):1-14. doi: 10.1016/j.cmpb.2009.07.006. Epub 2009 Aug 25.

PMID:
19709774
42.

Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data.

da Silva EC, Silva AC, de Paiva AC, Nunes RA, Gattass M.

Comput Methods Programs Biomed. 2008 Jun;90(3):230-9. doi: 10.1016/j.cmpb.2008.02.003. Epub 2008 Apr 9.

PMID:
18403042
43.

Gravity transform for input conditioning in brain machine interfaces.

Paiva AC, Príncipe JC, Sanchez JC.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:4261-4.

PMID:
17946616
44.

Modeling GPCRs.

Paiva AC, Oliveira L, Horn F, Bywater RP, Vriend G.

Ernst Schering Found Symp Proc. 2006;(2):23-47. Review.

PMID:
17703576
45.

[Pulmonary function in Portuguese firefighters].

Almeida AG, Duarte R, Mieiro L, Paiva AC, Rodrigues AM, Almeida MH, Bárbara C.

Rev Port Pneumol. 2007 May-Jun;13(3):349-64. Portuguese.

46.

Functional expression of kinin B1 and B2 receptors in mouse abdominal aorta.

Felipe SA, Rodrigues ES, Martin RP, Paiva AC, Pesquero JB, Shimuta SI.

Braz J Med Biol Res. 2007 May;40(5):649-55.

47.

The angiotensin II AT1 receptor structure-activity correlations in the light of rhodopsin structure.

Oliveira L, Costa-Neto CM, Nakaie CR, Schreier S, Shimuta SI, Paiva AC.

Physiol Rev. 2007 Apr;87(2):565-92. Review.

48.

Functional rescue of a defective angiotensin II AT1 receptor mutant by the Mas protooncogene.

Santos EL, Reis RI, Silva RG, Shimuta SI, Pecher C, Bascands JL, Schanstra JP, Oliveira L, Bader M, Paiva AC, Costa-Neto CM, Pesquero JB.

Regul Pept. 2007 Jun 7;141(1-3):159-67. Epub 2007 Jan 20.

PMID:
17320985
49.

Determination of angiotensin I-converting enzyme activity in cell culture using fluorescence resonance energy transfer peptides.

Sabatini RA, Bersanetti PA, Farias SL, Juliano L, Juliano MA, Casarini DE, Carmona AK, Paiva AC, Pesquero JB.

Anal Biochem. 2007 Apr 15;363(2):255-62. Epub 2007 Jan 19.

PMID:
17320031
50.

Participation of transmembrane proline 82 in angiotensin II AT1 receptor signal transduction.

Reis RI, Santos EL, Pesquero JB, Oliveira L, Schanstra JP, Bascands JL, Pecher C, Paiva AC, Costa-Neto CM.

Regul Pept. 2007 Apr 5;140(1-2):32-6. Epub 2007 Jan 18.

PMID:
17239455

Supplemental Content

Loading ...
Support Center