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Aaron Carass

*: shared first/last authors

MR Slice Profile Estimation by Learning to Match Internal Patch Distributions


Mar 31, 2021
Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince

* 12 pages, 6 figures, accepted by Information Processing in Medical Imaging (IPMI) 2021 

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Information-based Disentangled Representation Learning for Unsupervised MR Harmonization


Mar 24, 2021
Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yihao Liu, Yufan He, Peter A. Calabresi, Jerry L. Prince

* Accepted in the 27th International Conference on Information Processing in Medical Imaging (IPMI 2021) 

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A Structural Causal Model for MR Images of Multiple Sclerosis


Mar 05, 2021
Jacob C. Reinhold, Aaron Carass, Jerry L. Prince

* Under review 

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Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis


Jan 14, 2021
Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen Stone, Georges El Fakhri, Jonghye Woo

* Accepted to IEEE International Symposium on Biomedical Imaging (ISBI) 2021 

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Self domain adapted network


Jul 07, 2020
Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince

* early accept in miccai2020 

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Validating uncertainty in medical image translation


Feb 11, 2020
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

* IEEE ISBI 2020 

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Finding novelty with uncertainty


Feb 11, 2020
Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass

* SPIE Medical Imaging 2020 

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Evaluating the Impact of Intensity Normalization on MR Image Synthesis


Dec 11, 2018
Jacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince

* SPIE Medical Imaging 2019 

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Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN


Sep 12, 2018
Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry Prince

* 8 pages, 5 figures, accepted by MICCAI 2018 Workshop: Deep Learning in Medical Image Analysis (DLMIA) 

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions


Jun 06, 2018
Lena Maier-Hein*, Matthias Eisenmann*, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin*, Annette Kopp-Schneider*

* 48 pages, under review in Nature Methods 

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Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks


Mar 14, 2018
Yufan He, Aaron Carass, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince


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Self Super-Resolution for Magnetic Resonance Images using Deep Networks


Feb 26, 2018
Can Zhao, Aaron Carass, Blake E. Dewey, Jerry L. Prince

* Accepted by IEEE International Symposium on Biomedical Imaging (ISBI) 2018 

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