Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 17 entries
Sorted by: Best Match Show Resources per page
Generalization and capacity of extensively large two-layered perceptrons.

Physical review. E, Statistical, nonlinear, and soft matter physics

Rosen-Zvi M, Engel A, Kanter I.
PMID: 12366215
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Sep;66(3):036138. doi: 10.1103/PhysRevE.66.036138. Epub 2002 Sep 27.

The generalization ability and storage capacity of a treelike two-layered neural network with a number of hidden units scaling as the input dimension is examined. The mapping from the input to the hidden layer is via Boolean functions; the...

Cite
Rosen-Zvi M, Engel A, Kanter I. Generalization and capacity of extensively large two-layered perceptrons. Phys Rev E Stat Nonlin Soft Matter Phys. 2002;66(3):036138doi: 10.1103/PhysRevE.66.036138.
Rosen-Zvi, M., Engel, A., & Kanter, I. (2002). Generalization and capacity of extensively large two-layered perceptrons. Physical review. E, Statistical, nonlinear, and soft matter physics, 66(3), 036138. https://doi.org/10.1103/PhysRevE.66.036138
Rosen-Zvi, Michal, et al. "Generalization and capacity of extensively large two-layered perceptrons." Physical review. E, Statistical, nonlinear, and soft matter physics vol. 66,3 (2002): 036138. doi: https://doi.org/10.1103/PhysRevE.66.036138
Rosen-Zvi M, Engel A, Kanter I. Generalization and capacity of extensively large two-layered perceptrons. Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Sep;66(3):036138. doi: 10.1103/PhysRevE.66.036138. Epub 2002 Sep 27. PMID: 12366215.
Copy Download .nbib Format: NLM
Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study.

European journal of haematology

Hofstetter L, Rozen-Zvi B, Schechter A, Raanani P, Itzhaki O, Rahamimov R, Gafter-Gvili A.
PMID: 34370889
Eur J Haematol. 2021 Dec;107(6):595-601. doi: 10.1111/ejh.13696. Epub 2021 Aug 31.

OBJECTIVES: To characterize risk factors for the development of post-transplant erythrocytosis (PTE), and its long-term effect on mortality, graft failure, and thrombosis.METHODS: Retrospective study including all kidney transplant recipients in Rabin Medical Center (RMC) during the years 2005-2014. The...

Cite
Hofstetter L, Rozen-Zvi B, Schechter A, et al. Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study. Eur J Haematol. 2021;107(6):595-601doi: 10.1111/ejh.13696.
Hofstetter, L., Rozen-Zvi, B., Schechter, A., Raanani, P., Itzhaki, O., Rahamimov, R., & Gafter-Gvili, A. (2021). Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study. European journal of haematology, 107(6), 595-601. https://doi.org/10.1111/ejh.13696
Hofstetter, Liron, et al. "Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study." European journal of haematology vol. 107,6 (2021): 595-601. doi: https://doi.org/10.1111/ejh.13696
Hofstetter L, Rozen-Zvi B, Schechter A, Raanani P, Itzhaki O, Rahamimov R, Gafter-Gvili A. Post-transplantation erythrocytosis in kidney transplant recipients-A retrospective cohort study. Eur J Haematol. 2021 Dec;107(6):595-601. doi: 10.1111/ejh.13696. Epub 2021 Aug 31. PMID: 34370889.
Copy Download .nbib Format: NLM
Mutual learning in a tree parity machine and its application to cryptography.

Physical review. E, Statistical, nonlinear, and soft matter physics

Rosen-Zvi M, Klein E, Kanter I, Kinzel W.
PMID: 12513375
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Dec;66(6):066135. doi: 10.1103/PhysRevE.66.066135. Epub 2002 Dec 30.

Mutual learning of a pair of tree parity machines with continuous and discrete weight vectors is studied analytically. The analysis is based on a mapping procedure that maps the mutual learning in tree parity machines onto mutual learning in...

Cite
Rosen-Zvi M, Klein E, Kanter I, et al. Mutual learning in a tree parity machine and its application to cryptography. Phys Rev E Stat Nonlin Soft Matter Phys. 2002;66(6):066135doi: 10.1103/PhysRevE.66.066135.
Rosen-Zvi, M., Klein, E., Kanter, I., & Kinzel, W. (2002). Mutual learning in a tree parity machine and its application to cryptography. Physical review. E, Statistical, nonlinear, and soft matter physics, 66(6), 066135. https://doi.org/10.1103/PhysRevE.66.066135
Rosen-Zvi, Michal, et al. "Mutual learning in a tree parity machine and its application to cryptography." Physical review. E, Statistical, nonlinear, and soft matter physics vol. 66,6 (2002): 066135. doi: https://doi.org/10.1103/PhysRevE.66.066135
Rosen-Zvi M, Klein E, Kanter I, Kinzel W. Mutual learning in a tree parity machine and its application to cryptography. Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Dec;66(6):066135. doi: 10.1103/PhysRevE.66.066135. Epub 2002 Dec 30. PMID: 12513375.
Copy Download .nbib Format: NLM
Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease.

Frontiers in pharmacology

Laifenfeld D, Yanover C, Ozery-Flato M, Shaham O, Rosen-Zvi M, Lev N, Goldschmidt Y, Grossman I.
PMID: 33967767
Front Pharmacol. 2021 Apr 22;12:631584. doi: 10.3389/fphar.2021.631584. eCollection 2021.

Real-world healthcare data hold the potential to identify therapeutic solutions for progressive diseases by efficiently pinpointing safe and efficacious repurposing drug candidates. This approach circumvents key early clinical development challenges, particularly relevant for neurological diseases, concordant with the vision...

Cite
Laifenfeld D, Yanover C, Ozery-Flato M, et al. Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease. Front Pharmacol. 2021;12:631584doi: 10.3389/fphar.2021.631584.
Laifenfeld, D., Yanover, C., Ozery-Flato, M., Shaham, O., Rosen-Zvi, M., Lev, N., Goldschmidt, Y., & Grossman, I. (2021). Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease. Frontiers in pharmacology, 12631584. https://doi.org/10.3389/fphar.2021.631584
Laifenfeld, Daphna, et al. "Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease." Frontiers in pharmacology vol. 12 (2021): 631584. doi: https://doi.org/10.3389/fphar.2021.631584
Laifenfeld D, Yanover C, Ozery-Flato M, Shaham O, Rosen-Zvi M, Lev N, Goldschmidt Y, Grossman I. Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease. Front Pharmacol. 2021 Apr 22;12:631584. doi: 10.3389/fphar.2021.631584. eCollection 2021. PMID: 33967767; PMCID: PMC8100658.
Copy Download .nbib Format: NLM
Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.

Radiology

Shoshan Y, Bakalo R, Gilboa-Solomon F, Ratner V, Barkan E, Ozery-Flato M, Amit M, Khapun D, Ambinder EB, Oluyemi ET, Panigrahi B, DiCarlo PA, Rosen-Zvi M, Mullen LA.
PMID: 35040677
Radiology. 2022 Jan 18;211105. doi: 10.1148/radiol.211105. Epub 2022 Jan 18.

Background Digital breast tomosynthesis (DBT) has higher diagnostic accuracy than digital mammography, but interpretation time is substantially longer. Artificial intelligence (AI) could improve reading efficiency. Purpose To evaluate the use of AI to reduce workload by filtering out normal...

Cite
Shoshan Y, Bakalo R, Gilboa-Solomon F, et al. Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology. 2022;211105doi: 10.1148/radiol.211105.
Shoshan, Y., Bakalo, R., Gilboa-Solomon, F., Ratner, V., Barkan, E., Ozery-Flato, M., Amit, M., Khapun, D., Ambinder, E. B., Oluyemi, E. T., Panigrahi, B., DiCarlo, P. A., Rosen-Zvi, M., & Mullen, L. A. (2022). Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology, 211105. https://doi.org/10.1148/radiol.211105
Shoshan, Yoel, et al. "Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis." Radiology vol. (2022): 211105. doi: https://doi.org/10.1148/radiol.211105
Shoshan Y, Bakalo R, Gilboa-Solomon F, Ratner V, Barkan E, Ozery-Flato M, Amit M, Khapun D, Ambinder EB, Oluyemi ET, Panigrahi B, DiCarlo PA, Rosen-Zvi M, Mullen LA. Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology. 2022 Jan 18;211105. doi: 10.1148/radiol.211105. Epub 2022 Jan 18. PMID: 35040677.
Copy Download .nbib Format: NLM
Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation.

Transplant international : official journal of the European Society for Organ Transplantation

Avni-Nachman S, Yahav D, Nesher E, Rozen-Zvi B, Rahamimov R, Mor E, Ben-Zvi H, Milo Y, Atamna A, Green H.
PMID: 34668610
Transpl Int. 2021 Dec;34(12):2686-2695. doi: 10.1111/tri.14144. Epub 2021 Nov 09.

There is no consensus regarding the optimal duration of antibiotic therapy for urinary tract infection (UTI) following kidney transplantation (KT). We performed a retrospective study comparing short (6-10 days) versus prolonged (11-21 days) antibiotic therapy for complicated UTI among...

Cite
Avni-Nachman S, Yahav D, Nesher E, et al. Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transpl Int. 2021;34(12):2686-2695doi: 10.1111/tri.14144.
Avni-Nachman, S., Yahav, D., Nesher, E., Rozen-Zvi, B., Rahamimov, R., Mor, E., Ben-Zvi, H., Milo, Y., Atamna, A., & Green, H. (2021). Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transplant international : official journal of the European Society for Organ Transplantation, 34(12), 2686-2695. https://doi.org/10.1111/tri.14144
Avni-Nachman, Shiri, et al. "Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation." Transplant international : official journal of the European Society for Organ Transplantation vol. 34,12 (2021): 2686-2695. doi: https://doi.org/10.1111/tri.14144
Avni-Nachman S, Yahav D, Nesher E, Rozen-Zvi B, Rahamimov R, Mor E, Ben-Zvi H, Milo Y, Atamna A, Green H. Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transpl Int. 2021 Dec;34(12):2686-2695. doi: 10.1111/tri.14144. Epub 2021 Nov 09. PMID: 34668610.
Copy Download .nbib Format: NLM
Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation.

Transplant international : official journal of the European Society for Organ Transplantation

Avni-Nachman S, Yahav D, Nesher E, Rozen-Zvi B, Rahamimov R, Mor E, Ben-Zvi H, Milo Y, Atamna A, Green H.
PMID: 34668610
Transpl Int. 2021 Dec;34(12):2686-2695. doi: 10.1111/tri.14144. Epub 2021 Nov 09.

There is no consensus regarding the optimal duration of antibiotic therapy for urinary tract infection (UTI) following kidney transplantation (KT). We performed a retrospective study comparing short (6-10 days) versus prolonged (11-21 days) antibiotic therapy for complicated UTI among...

Cite
Avni-Nachman S, Yahav D, Nesher E, et al. Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transpl Int. 2021;34(12):2686-2695doi: 10.1111/tri.14144.
Avni-Nachman, S., Yahav, D., Nesher, E., Rozen-Zvi, B., Rahamimov, R., Mor, E., Ben-Zvi, H., Milo, Y., Atamna, A., & Green, H. (2021). Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transplant international : official journal of the European Society for Organ Transplantation, 34(12), 2686-2695. https://doi.org/10.1111/tri.14144
Avni-Nachman, Shiri, et al. "Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation." Transplant international : official journal of the European Society for Organ Transplantation vol. 34,12 (2021): 2686-2695. doi: https://doi.org/10.1111/tri.14144
Avni-Nachman S, Yahav D, Nesher E, Rozen-Zvi B, Rahamimov R, Mor E, Ben-Zvi H, Milo Y, Atamna A, Green H. Short versus prolonged antibiotic treatment for complicated urinary tract infection after kidney transplantation. Transpl Int. 2021 Dec;34(12):2686-2695. doi: 10.1111/tri.14144. Epub 2021 Nov 09. PMID: 34668610.
Copy Download .nbib Format: NLM
On the role of artificial intelligence in medical imaging of COVID-19.

Patterns (New York, N.Y.)

Born J, Beymer D, Rajan D, Coy A, Mukherjee VV, Manica M, Prasanna P, Ballah D, Guindy M, Shaham D, Shah PL, Karteris E, Robertus JL, Gabrani M, Rosen-Zvi M.
PMID: 33969323
Patterns (N Y). 2021 Jun 11;2(6):100269. doi: 10.1016/j.patter.2021.100269. Epub 2021 Apr 30.

Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient...

Cite
Born J, Beymer D, Rajan D, et al. On the role of artificial intelligence in medical imaging of COVID-19. Patterns (N Y). 2021;2(6):100269doi: 10.1016/j.patter.2021.100269.
Born, J., Beymer, D., Rajan, D., Coy, A., Mukherjee, V. V., Manica, M., Prasanna, P., Ballah, D., Guindy, M., Shaham, D., Shah, P. L., Karteris, E., Robertus, J. L., Gabrani, M., & Rosen-Zvi, M. (2021). On the role of artificial intelligence in medical imaging of COVID-19. Patterns (New York, N.Y.), 2(6), 100269. https://doi.org/10.1016/j.patter.2021.100269
Born, Jannis, et al. "On the role of artificial intelligence in medical imaging of COVID-19." Patterns (New York, N.Y.) vol. 2,6 (2021): 100269. doi: https://doi.org/10.1016/j.patter.2021.100269
Born J, Beymer D, Rajan D, Coy A, Mukherjee VV, Manica M, Prasanna P, Ballah D, Guindy M, Shaham D, Shah PL, Karteris E, Robertus JL, Gabrani M, Rosen-Zvi M. On the role of artificial intelligence in medical imaging of COVID-19. Patterns (N Y). 2021 Jun 11;2(6):100269. doi: 10.1016/j.patter.2021.100269. Epub 2021 Apr 30. PMID: 33969323; PMCID: PMC8086827.
Copy Download .nbib Format: NLM
Antibody response to mRNA SARS-CoV-2 vaccine among dialysis patients - a prospectivecohort study.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association

Agur T, Ben-Dor N, Goldman S, Lichtenberg S, Herman-Edelstein M, Yahav D, Rozen-Zvi B, Zingerman B.
PMID: 33839785
Nephrol Dial Transplant. 2021 Apr 11; doi: 10.1093/ndt/gfab155. Epub 2021 Apr 11.

No abstract available.

Cite
Agur T, Ben-Dor N, Goldman S, et al. Antibody response to mRNA SARS-CoV-2 vaccine among dialysis patients - a prospectivecohort study. Nephrol Dial Transplant. 2021;doi: 10.1093/ndt/gfab155.
Agur, T., Ben-Dor, N., Goldman, S., Lichtenberg, S., Herman-Edelstein, M., Yahav, D., Rozen-Zvi, B., & Zingerman, B. (2021). Antibody response to mRNA SARS-CoV-2 vaccine among dialysis patients - a prospectivecohort study. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, . https://doi.org/10.1093/ndt/gfab155
Agur, Timna, et al. "Antibody response to mRNA SARS-CoV-2 vaccine among dialysis patients - a prospectivecohort study." Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association vol. (2021). doi: https://doi.org/10.1093/ndt/gfab155
Agur T, Ben-Dor N, Goldman S, Lichtenberg S, Herman-Edelstein M, Yahav D, Rozen-Zvi B, Zingerman B. Antibody response to mRNA SARS-CoV-2 vaccine among dialysis patients - a prospectivecohort study. Nephrol Dial Transplant. 2021 Apr 11; doi: 10.1093/ndt/gfab155. Epub 2021 Apr 11. PMID: 33839785; PMCID: PMC8083335.
Copy Download .nbib Format: NLM
Training a perceptron in a discrete weight space.

Physical review. E, Statistical, nonlinear, and soft matter physics

Rosen-Zvi M, Kanter I.
PMID: 11690092
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Oct;64(4):046109. doi: 10.1103/PhysRevE.64.046109. Epub 2001 Sep 20.

Learning in a perceptron having a discrete weight space, where each weight can take 2L+1 different values, is examined analytically and numerically. The learning algorithm is based on the training of the continuous perceptron and prediction following the clipped...

Cite
Rosen-Zvi M, Kanter I. Training a perceptron in a discrete weight space. Phys Rev E Stat Nonlin Soft Matter Phys. 2001;64(4):046109doi: 10.1103/PhysRevE.64.046109.
Rosen-Zvi, M., & Kanter, I. (2001). Training a perceptron in a discrete weight space. Physical review. E, Statistical, nonlinear, and soft matter physics, 64(4), 046109. https://doi.org/10.1103/PhysRevE.64.046109
Rosen-Zvi, M, and Kanter, I. "Training a perceptron in a discrete weight space." Physical review. E, Statistical, nonlinear, and soft matter physics vol. 64,4 (2001): 046109. doi: https://doi.org/10.1103/PhysRevE.64.046109
Rosen-Zvi M, Kanter I. Training a perceptron in a discrete weight space. Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Oct;64(4):046109. doi: 10.1103/PhysRevE.64.046109. Epub 2001 Sep 20. PMID: 11690092.
Copy Download .nbib Format: NLM
Correction to: Role of microRNAs in host defense against Echinococcus granulosus infection: a preliminary assessment.

Immunologic research

Mariconti M, Vola A, Manciulli T, Genco F, Lissandrin R, Meroni V, Rosenzvit M, Tamarozzi F, Brunetti E.
PMID: 30591988
Immunol Res. 2019 Feb;67(1):98. doi: 10.1007/s12026-018-9060-1.

The published article unfortunately contained mistake. After replacing the image from colored version to black and white, the Fig. 1 caption, unfortunately, was left unupdated.

Cite
Mariconti M, Vola A, Manciulli T, et al. Correction to: Role of microRNAs in host defense against Echinococcus granulosus infection: a preliminary assessment. Immunol Res. 2019;67(1):98doi: 10.1007/s12026-018-9060-1.
Mariconti, M., Vola, A., Manciulli, T., Genco, F., Lissandrin, R., Meroni, V., Rosenzvit, M., Tamarozzi, F., & Brunetti, E. (2019). Correction to: Role of microRNAs in host defense against Echinococcus granulosus infection: a preliminary assessment. Immunologic research, 67(1), 98. https://doi.org/10.1007/s12026-018-9060-1
Mariconti, Mara, et al. "Correction to: Role of microRNAs in host defense against Echinococcus granulosus infection: a preliminary assessment." Immunologic research vol. 67,1 (2019): 98. doi: https://doi.org/10.1007/s12026-018-9060-1
Mariconti M, Vola A, Manciulli T, Genco F, Lissandrin R, Meroni V, Rosenzvit M, Tamarozzi F, Brunetti E. Correction to: Role of microRNAs in host defense against Echinococcus granulosus infection: a preliminary assessment. Immunol Res. 2019 Feb;67(1):98. doi: 10.1007/s12026-018-9060-1. PMID: 30591988.
Copy Download .nbib Format: NLM
Quantification of tumor heterogeneity: from data acquisition to metric generation.

Trends in biotechnology

Kashyap A, Rapsomaniki MA, Barros V, Fomitcheva-Khartchenko A, Martinelli AL, Rodriguez AF, Gabrani M, Rosen-Zvi M, Kaigala G.
PMID: 34972597
Trends Biotechnol. 2021 Dec 28; doi: 10.1016/j.tibtech.2021.11.006. Epub 2021 Dec 28.

Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable molecular profiles, aggressiveness, and proliferation potential coexist and interact. Understanding how heterogeneity influences tumor progression has important clinical implications for improving diagnosis, prognosis, and treatment response...

Cite
Kashyap A, Rapsomaniki MA, Barros V, et al. Quantification of tumor heterogeneity: from data acquisition to metric generation. Trends Biotechnol. 2021;doi: 10.1016/j.tibtech.2021.11.006.
Kashyap, A., Rapsomaniki, M. A., Barros, V., Fomitcheva-Khartchenko, A., Martinelli, A. L., Rodriguez, A. F., Gabrani, M., Rosen-Zvi, M., & Kaigala, G. (2021). Quantification of tumor heterogeneity: from data acquisition to metric generation. Trends in biotechnology, . https://doi.org/10.1016/j.tibtech.2021.11.006
Kashyap, Aditya, et al. "Quantification of tumor heterogeneity: from data acquisition to metric generation." Trends in biotechnology vol. (2021). doi: https://doi.org/10.1016/j.tibtech.2021.11.006
Kashyap A, Rapsomaniki MA, Barros V, Fomitcheva-Khartchenko A, Martinelli AL, Rodriguez AF, Gabrani M, Rosen-Zvi M, Kaigala G. Quantification of tumor heterogeneity: from data acquisition to metric generation. Trends Biotechnol. 2021 Dec 28; doi: 10.1016/j.tibtech.2021.11.006. Epub 2021 Dec 28. PMID: 34972597.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 17 entries