introduction: mental foramen (mf) is an important anatomic landmark in dentistry and knowledge about its variable locations (l) and type of emergence (te), has an effect on the sufficiency of local anesthesia and safety of surgical procedures. the aim of this study was to evaluate the l and te of this radiographic landmark as well as the presence of accessory mf, by means of cone-beam computed ...

As an important upstream task for many medical applications, supervised landmark localization still requires non-negligible annotation costs to achieve desirable performance. Besides, due cumbersome collection procedures, the limited size of datasets impacts effectiveness large-scale self-supervised pre-training methods. To address these challenges, we propose a two-stage framework one-shot loc...

A mobile system with a hybrid opto-electronic processor has been studied. The position estimation is based on analysis of landmarks as being detected by a TV-camera attached to the mobile system. The difference between the known real shape of the landmark and its image provides the information necessary for determining the relative position of the mobile system to the landmark. The parameters o...

Retinal image alignment is fundamental to many applications in diagnosis of eye diseases. In this paper, we address the problem of landmark matching based retinal image alignment. We propose a novel landmark matching formulation by enforcing sparsity in the correspondence matrix and offer its solutions based on linear programming. The proposed formulation not only enables a joint estimation of ...

The predominant strategy for facial expressions analysis and temporal analysis of facial events is the following: a generic facial landmarks tracker, usually trained on thousands of carefully annotated examples, is applied to track the landmark points, and then analysis is performed using mostly the shape andmore rarely the facial texture. This paper challenges the above framework by showing th...

In this paper, we address the problem of online mining maximal frequent structures (Type I & II melody structures) in unbounded, continuous landmark melody streams. An efficient algorithm, called MMSLMS (Maximal Melody Structures of Landmark Melody Streams), is developed for online incremental mining of maximal frequent melody substructures in one scan of the continuous melody streams. In MMSLM...

Landmark-based thin-plate spline image registration is one of the most commonly used methods for non-rigid medical image registration and anatomical shape analysis. It is well known that this method does not produce a unique correspondence between two images away from the landmark locations because interchanging the role of source and target landmarks does not produce forward and reverse transf...