A
Aydin Sav
Researcher at Yeditepe University
Publications - 185
Citations - 3019
Aydin Sav is an academic researcher from Yeditepe University. The author has contributed to research in topics: Meningioma & Pituitary adenoma. The author has an hindex of 28, co-authored 179 publications receiving 2697 citations. Previous affiliations of Aydin Sav include Mayo Clinic & Acıbadem University.
Papers
More filters
Journal ArticleDOI
Treatment of amyotrophic lateral sclerosis patients by autologous bone marrow-derived hematopoietic stem cell transplantation: a 1-year follow-up
TL;DR: These results show that stem cell therapy is a safe, effective and promising treatment for ALS patients and are shown to be safe and effective against lung infection and myocardial infarction.
Journal ArticleDOI
The effects of the size of liposuction cannula on adipocyte survival and the optimum temperature for fat graft storage: an experimental study.
TL;DR: The use of larger liposuction cannulas for fat tissue harvesting provides more viable fat grafts, and a temperature of +4 degrees C could be proposed as an effective and easily available way of storingFat grafts for at least 2 weeks.
Journal ArticleDOI
Serum leptin levels, skin leptin and leptin receptor expression in psoriasis.
Aslı Aksu Çerman,Süheyla Uyar Bozkurt,Aydin Sav,Aysin Tulunay,Mehmet Onur Elbasi,Tulin Ergun +5 more
TL;DR: Leptin, a peptide hormone secreted predominantly from adipose tissue, is involved in the regulation of energy intake and expenditure and has been shown to have several immunological effects including induction of proinflammatory cytokine production.
Journal ArticleDOI
Effects of pulsed versus conventional radiofrequency current on rabbit dorsal root ganglion morphology.
TL;DR: Compared to conventional RF (CRF) and PRF on rabbit dorsal root ganglion (DRG) morphology, the results suggest that PRF application is less destructive of cellular morphology than CRF at clinically used “doses”.
Journal ArticleDOI
Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning.
Sidong Liu,Zubair Shah,Zubair Shah,Aydin Sav,Carlo Russo,Shlomo Berkovsky,Yi Qian,Enrico Coiera,Antonio Di Ieva +8 more
TL;DR: The findings show that deep learning methodology, enhanced by GAN data augmentation, can support physicians in gliomas’ IDH status prediction.