@inproceedings{b44fd8d203354edeac8ee64488c15fb9,
title = "Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences",
keywords = "Electrophysiological imaging, Generalization, Information bottleneck, Inverse problem, Learning theory, Sequence encoder-decoder",
author = "Sandesh Ghimire and Gyawali, {Prashnna Kumar} and Jwala Dhamala and Sapp, {John L.} and Milan Horacek and Linwei Wang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 26th International Conference on Information Processing in Medical Imaging, IPMI 2019 ; Conference date: 02-06-2019 Through 07-06-2019",
year = "2019",
doi = "10.1007/978-3-030-20351-1_12",
language = "English",
isbn = "9783030203504",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "153--166",
editor = "Gee, {James C.} and Yushkevich, {Paul A.} and Siqi Bao and Chung, {Albert C.S.}",
booktitle = "Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings",
address = "Germany",
}