Work

RamanFormerSSL: A self-supervised learning based transformer model for Raman mixture component quantification

Year: 2026

Type: article

Source: Neural Computing and Applications

DOI: 10.1007/s00521-026-12095-y

Authors: Onur Can Koyun, Reyhan Kevser Keser, Safa Onur Şahin, Damla Bulut, Mustafa Yorulmaz, Veysel Yücesoy, Behçet Uğur Töreyin

Institutions: Wake Forest University Health Sciences, Wake Forest University, Istanbul Technical University, Mayo Clinic, Aselsan (Turkey)

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: ASELSAN, Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi

OpenAlex ID: W7160507914

FWCI: 2.761

Cites: 41

Cited by: 1

Related to: 10