Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation - researchr publication authors

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Rawaa Hamdi, Asma Kerkeni, Mohamed Hedi Bedoui, Asma Ben Abdallah. Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation. In Hujun Yin, David Camacho, Peter Tiño, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Volume 13756 of Lecture Notes in Computer Science, pages 391-398, Springer, 2022. [doi]

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