Abhineet Pandey, Bhawna Paliwal, Abhinav Dhall, Ramanathan Subramanian, Dwarikanath Mahapatra. This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks. In Mauricio Reyes 0001, Pedro Henriques Abreu, Jaime S. Cardoso 0001, Mustafa Hajij, Ghada Zamzmi, Paul Rahul, Lokendra Thakur, editors, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Volume 12929 of Lecture Notes in Computer Science, pages 34-43, Springer, 2021. [doi]
@inproceedings{PandeyPDSM21,
title = {This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks},
author = {Abhineet Pandey and Bhawna Paliwal and Abhinav Dhall and Ramanathan Subramanian and Dwarikanath Mahapatra},
year = {2021},
doi = {10.1007/978-3-030-87444-5_4},
url = {https://doi.org/10.1007/978-3-030-87444-5_4},
researchr = {https://researchr.org/publication/PandeyPDSM21},
cites = {0},
citedby = {0},
pages = {34-43},
booktitle = {Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings},
editor = {Mauricio Reyes 0001 and Pedro Henriques Abreu and Jaime S. Cardoso 0001 and Mustafa Hajij and Ghada Zamzmi and Paul Rahul and Lokendra Thakur},
volume = {12929},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87444-5},
}