Joshua D. Schaefferkoetter

According to our database, Joshua D. Schaefferkoetter authored at least 3 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Multi-Method Explainability for Similarity Assessment in AI-Denoised PET Imaging.

Mélanie Champendal, Théo Coutaudier, Daphné Faist, Maeva Ryser, Joshua D. Schaefferkoetter, Maurizio Conti, Mario Jreige, Adrien Depeursinge, Lluis Borras Ferris, Cláudia Sá dos Reis, John O. Prior, Henning Müller, Ricardo Ribeiro

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2020

Supervised learning with cyclegan for low-dose FDG PET image denoising.

Long Zhou, Joshua D. Schaefferkoetter, Ivan W. K. Tham, Gang Huang, Jianhua Yan

Medical Image Anal., 2020

Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images.

Ying-Hwey Nai, Bernice W. Teo, Nadya L. Tan, Koby Yi Wei Chua, Chun Kit Wong, Sophie O'Doherty, Mary C. Stephenson, Joshua D. Schaefferkoetter, Yee Liang Thian, Edmund Chiong, Anthonin Reilhac

Comput. Math. Methods Medicine, 2020