Sevim Cengiz

PhD Candidate & Research Assistant

Bogazici University & Mohamed Bin Zayed University of Artificial Intelligence

Biography

Sevim Cengiz is a PhD candidate at Computational Imaging Lab (CIL) under the supervision of Dr. Esin Ozturk Isik and a research assistant at BioMedIA Lab under the supervision of Dr. Mohammad Yaqub.

My current research focuses on MRSI data analysis, super resolution of MRSI, medical image segmentation and new deep learning techniques.

My motivation for open-source has started when I met with GannetMask_Philips.m in Github. There is no need to reinvent the wheel. Read more, explore more, code more, enjoy more, love more.

Interests

MR Spectroscopy
Data Visualization
Deep Learning
Super Resolution
Open-Source Contribution

Projects

Oryx-MRSI

Oryx-MRSI is a fully automated and user-friendly multi-slice 1H-MRSI data analysis software, which includes several new functionality, including chemical shift correction, CSF corrected metabolite map generation, registration of metabolite maps onto MNI152 brain atlas, and ROI analysis at brain parcellations.