Development of normal and very high strength geopolymer binders based on concrete waste at ambient environment

Autor: Mahmoodi, O., Siad, H., Lachemi, M., Dadsetan, S., Sahmaran, M.

Publikováno v: In Journal of Cleaner Production 10 January 2021 279

Optimization of brick waste-based geopolymer binders at ambient temperature and pre-targeted chemical parameters

Autor: Mahmoodi, O., Siad, H., Lachemi, M., Dadsetan, S., Sahmaran, M.

Publikováno v: In Journal of Cleaner Production 20 September 2020 268

Chronic hyperammonemia induces peripheral inflammation that leads to cognitive impairment in rats: reversal by anti-tnfa treatment

Autor: Balzano T, Dadsetan S, Forteza J, Cabrera-Pastor A, Taoro-Gonzalez L, Malaguarnera M, Gil-Perotin S, Cubas-Nunez L, Casanova B, Castro-Quintas A, Ponce-Mora A, Arenas Y, Leone P, Llansola M, Felipo V

Publikováno v: JOURNAL OF HEPATOLOGY
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA

Background & Aims: Chronic hyperammonemia induces neuroinflammation which mediates cognitive impairment. How hyperammonemia induces neuroinflammation remains unclear. We aimed to assess whether: chronic hyperammonemia induces peripheral inflammation,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::72f02dba5b2e0a3119bf46ca951aa7fc
https://fundanet.iislafe.san.gva.es/publicaciones/ProdCientif/PublicacionFrw.aspx?id=11655

Deep learning of longitudinal mammogram examinations for breast cancer risk prediction.

Autor: Dadsetan S; Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, 210 S Bouquet St, Pittsburgh, PA 15213, USA., Arefan D; Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA 15260, USA., Berg WA; Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.; Magee-Womens Hospital of University of Pittsburgh Medical Center, 300 Halket St, Pittsburgh, PA 15213, USA., Zuley ML; Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.; Magee-Womens Hospital of University of Pittsburgh Medical Center, 300 Halket St, Pittsburgh, PA 15213, USA., Sumkin JH; Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.; Magee-Womens Hospital of University of Pittsburgh Medical Center, 300 Halket St, Pittsburgh, PA 15213, USA., Wu S; Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, 210 S Bouquet St, Pittsburgh, PA 15213, USA.; Department of Radiology, University of Pittsburgh School of Medicine, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.; Department of Biomedical Informatics and Department of Bioengineering, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.

Publikováno v: Pattern recognition [Pattern Recognit] 2022 Dec; Vol. 132. Date of Electronic Publication: 2022 Jul 22.

Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis.

Autor: Nebbia G; Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA., Dadsetan S; Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA., Arefan D; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Zuley ML; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA., Sumkin JH; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, USA., Huang H; Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA., Wu S; Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, USA.; Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; Department of Biomedical Informatics and Department of Bioengineering, University of Pittsburgh, PA, USA.

Publikováno v: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2021 Sep-Oct; Vol. 12905, pp. 634-643. Date of Electronic Publication: 2021 Sep 21.