Atsuhiro Kojima

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We propose a method for describing human activities from video images based on concept hierarchies of actions. Major difficulty in transforming video images into textual descriptions is how to bridge a semantic gap between them, which is also known as inverse Hollywood problem. In general, the concepts of events or actions of human can be classified by(More)
A 34-year-old female presented with subarachnoid hemorrhage caused by the rupture of a right vertebral artery (VA) dissecting aneurysm. The affected site, including the aneurysm and parent artery, was successfully occluded with detachable coils. Follow-up angiography performed 28 days after the endovascular treatment revealed recanalization of the parent(More)
We report an unusual case of a 56-year-old woman with a supratentorial anaplastic ependymoma localized in the parenchyma without continuity with the ventricular system and brain surface. The patient presented with vertigo, and a calcified mass was detected in the left temporal parenchyma. Five years later, she had seizure of the right extremities. Computed(More)
In the field of image understanding, it is becoming popular to recognize human actions and objects in a scene to improve human-computer interaction. Recently, various methods for scene recognition have been proposed, and most of them focus on recognizing human actions and objects separately. We consider, however, it is important to recognize them(More)
BACKGROUND Although angiography is still gold standard for the diagnosis of cerebral aneurysms, false-negative angiograms in cases of subarachoid hemorrhage due to a rupture of an anterior communicating artery aneurysm have been previously reported. We now report a case of an anterior communicating aneurysm demonstrated by 3-dimensional digital angiography(More)