3 citations · 3 across the 5 of their papers we have counts for
5 papers
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides
Abdurrahim Yilmaz, Serra Atilla Aydin, Deniz Temur +7
Mohs micrographic surgery (MMS) is the gold standard technique for removing high risk nonmelanoma skin cancer however, intraoperative histopathological examination demands signific…
DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets
Abdurrahim Yilmaz, Furkan Yuceyalcin, Ece Gokyayla +8
A major barrier to developing vision large language models (LLMs) in dermatology is the lack of large image--text pairs dataset. We introduce DermaSynth, a dataset comprising of 92…
Study on the Concept and Development of a Mobile Incubator
Fehmi Can Ay, Nesim Bilici, Rahmetullah Varol +4
Creating the best possible conditions is essential for proper cell growth. Incubators, a type of biotechnological instrument, are used to simulate this condition and maintain the c…
Deep Convolutional Neural Networks for Onychomycosis Detection
Abdurrahim Yilmaz, Fatih Goktay, Rahmetullah Varol +2
The diagnosis of superficial fungal infections in dermatology is still mostly based on manual direct microscopic examination with Potassium Hydroxide (KOH) solution. However, this…
Holographic Cell Stiffness Mapping Using Acoustic Stimulation
Rahmetullah Varol, Sevde Omeroglu, Zeynep Karavelioglu +8
Accurate assessment of stiffness distribution is essential due to the critical role of single cell mechanobiology in the regulation of many vital cellular processes such as prolife…