Ulaş Bağcı
About
Ulaş Bağcı has authored 176 papers that have received a total of 3.5k indexed citations.
This includes 89 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Computer Vision and Pattern Recognition and 43 papers in Artificial Intelligence. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (55 papers), AI in cancer detection (36 papers) and Medical Image Segmentation Techniques (33 papers). Ulaş Bağcı is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (55 papers), AI in cancer detection (36 papers) and Medical Image Segmentation Techniques (33 papers) and collaborates with scholars based in United States, Türkiye and United Kingdom. Ulaş Bağcı's co-authors include Daniel J. Mollura, Georgios Z. Papadakis, Ziyue Xu, Brent Foster and Jianhua Yao and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism
In The Last Decade
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