His primary areas of investigation include Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Radiology. His study connects Bronchoscopy and Artificial intelligence. His Computer vision study integrates concerns from other disciplines, such as Geodesic and Radiography.
The Segmentation study combines topics in areas such as Weighting, Tomography, Probabilistic logic and Coordinate system. His research on Pattern recognition also deals with topics like
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Segmentation, Pattern recognition and Radiology. His Artificial intelligence study focuses mostly on Tracking, Deep learning, Image segmentation, Image and Computer-aided diagnosis. His Computer vision study incorporates themes from Imaging phantom, Endoscope and Position.
The study incorporates disciplines such as Abdominal ct, Volume, Visualization, Voxel and Multi organ in addition to Segmentation. His biological study focuses on Convolutional neural network. His Radiology research includes themes of Nuclear medicine and Lymph node.
His primary scientific interests are in Artificial intelligence, Segmentation, Pattern recognition, Computer vision and Deep learning. His Artificial intelligence study frequently involves adjacent topics like CAD. His Segmentation study which covers Lung that intersects with Radiology.
His Pattern recognition research incorporates elements of Renal artery, Voronoi diagram, Voxel and Volume. His work deals with themes such as Endoscope and Virtual reality, which intersect with Computer vision. His biological study spans a wide range of topics, including Artificial neural network, Polyp size and Sagittal plane.
Artificial intelligence, Segmentation, Pattern recognition, Convolutional neural network and Colonoscopy are his primary areas of study. Many of his studies on Artificial intelligence apply to CAD as well. His research investigates the connection with Segmentation and areas like Field which intersect with concerns in Workflow, Raw data and Generalizability theory.
The various areas that Kensaku Mori examines in his Pattern recognition study include Image, Voxel, Latent variable and Coronal plane. His Colonoscopy research incorporates themes from Computer aided detection, Radiology and Optical diagnosis. His biological study deals with issues like Consistency, which deal with fields such as Computer vision.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
Nicholas Ayache;Hervé Delingette;Polina Golland;Kensaku Mori.
Springer US (2012)
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay;Jo Schlemper;Loïc Le Folgoc;Matthew C. H. Lee.
arXiv: Computer Vision and Pattern Recognition (2018)
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation
Robin Wolz;Chengwen Chu;Kazunari Misawa;Michitaka Fujiwara.
IEEE Transactions on Medical Imaging (2013)
Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study
Yuichi Mori;Shin-Ei Kudo;Masashi Misawa;Yutaka Saito.
Annals of Internal Medicine (2018)
Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system
K. Mori;J. Hasegawa;Y. Suenaga;J. Toriwaki.
IEEE Transactions on Medical Imaging (2000)
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration
D.B. Russakoff;T. Rohlfing;K. Mori;D. Rueckert.
IEEE Transactions on Medical Imaging (2005)
Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images.
Kensaku Mori;Kensaku Mori;Daisuke Deguchi;Jun Sugiyama;Yasuhito Suenaga.
Medical Image Analysis (2002)
Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience
Masashi Misawa;Shin-ei Kudo;Yuichi Mori;Tomonari Cho.
Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system
K. Mori;J. Hasegawa;J. Toriwaki;H. Anno.
international conference on pattern recognition (1996)
Exploring Duplicated Regions in Natural Images
M. Bashar;K. Noda;N. Ohnishi;K. Mori.
IEEE Transactions on Image Processing (2010)
Profile was last updated on December 6th, 2021.
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