Andrew J Plassard | HRLB Lab https://hrlblab.github.io/author/andrew-j-plassard/ Andrew J Plassard Wowchemy (https://wowchemy.com)en-ushrlblab@gmail.comTue, 01 Jan 2019 00:00:00 +0000 https://hrlblab.github.io/media/icon_hu0ec0111cfd40fd5de1f066575f578bf6_49768_512x512_fill_lanczos_center_3.png Andrew J Plassard https://hrlblab.github.io/author/andrew-j-plassard/ Anatomical context improves deep learning on the brain age estimation task https://hrlblab.github.io/publication/bermudez-2019-anatomical/ Tue, 01 Jan 2019 00:00:00 +0000 https://hrlblab.github.io/publication/bermudez-2019-anatomical/ Fully convolutional neural networks improve abdominal organ segmentation https://hrlblab.github.io/publication/bobo-2018-fully/ Mon, 01 Jan 2018 00:00:00 +0000 https://hrlblab.github.io/publication/bobo-2018-fully/ Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks https://hrlblab.github.io/publication/huo-2018-splenomegaly/ Mon, 01 Jan 2018 00:00:00 +0000 https://hrlblab.github.io/publication/huo-2018-splenomegaly/ Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion https://hrlblab.github.io/publication/huo-2017-simultaneous/ Sun, 01 Jan 2017 00:00:00 +0000 https://hrlblab.github.io/publication/huo-2017-simultaneous/ Consistent cortical reconstruction and multi-atlas brain segmentation https://hrlblab.github.io/publication/huo-2016-consistent/ Fri, 01 Jan 2016 00:00:00 +0000 https://hrlblab.github.io/publication/huo-2016-consistent/ Multi-atlas learner fusion: An efficient segmentation approach for large-scale data https://hrlblab.github.io/publication/asman-2015-multi/ Thu, 01 Jan 2015 00:00:00 +0000 https://hrlblab.github.io/publication/asman-2015-multi/