Nagoya University Hospital / 名古屋大学医学部附属病院

Self-supervised learning for medical image analysis using image context restoration (2019) Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D Journal article Colonoscope tracking method based on shape estimation network (2019) Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Navab N, Mori K Conference contribution Intelligent image synthesis to attack a segmentation CNN using adversarial learning (2019) Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D Conference contribution DRINet for Medical Image Segmentation (2018) Chen L, Bentley P, Mori K, Misawa K, Fujiwara M, Rueckert D Journal article Machine learning-based colon deformation estimation method for colonoscope tracking (2018) Oda M, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, Navab N, Mori K Conference contribution Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks (2018) Oda M, Roth HR, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, et al. Conference contribution Supervoxel classification forests for estimating pairwise image correspondences (2017) Kanavati F, Tong T, Misawa K, Fujiwara M, Mori K, Rueckert D, Glocker B Journal article Robust colonoscope tracking method for colon deformations utilizing coarse-to-fine correspondence findings (2017) Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, et al. Journal article Joint supervoxel classification forest for weakly-supervised organ segmentation (2017) Kanavati F, Misawa K, Fujiwara M, Mori K, Rueckert D, Glocker B Conference contribution Tracking accuracy evaluation of electromagnetic sensor-based colonoscope tracking method (2016) Oda M, Kondo H, Kitasaka T, Furukawa K, Miyahara R, Hirooka Y, Goto H, et al. Conference contribution