GAN-Amis: Evaluating Clustering of GAN-Generated Medical Images Using Custom and Pre-trained CNN Architectures to Identify GAN Fingerprints.

@inproceedings{upganlawar-2024-ganamis, author = {Aman Upganlawar and Aarti Lad and Arnav Desai}, editor = {Guglielmo Faggioli and Nicola Ferro and Petra Galusc\'{a}kov\'{a} and Alba Garcia Seco de Herrera}, title = {{GAN-Amis: Evaluating Clustering of GAN-Generated Medical Images Using Custom and Pre-trained CNN Architectures to Identify GAN Fingerprints}}, booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024}}, series = {CEUR Workshop Proceedings}, volume = {3740}, pages = {1755--1762}, publisher = {CEUR-WS.org}, year = {2024}, url = {https://ceur-ws.org/Vol-3740/paper-163.pdf} }