Many important eye diseases as well as systemic diseases manifest themselves in the
retina. While a number of other anatomical structures contribute to the process of vision, this …

Objective: In the course of clinical treatment, several medical media are required by a
physician in order to provide accurate and complete information about a patient. Medical …

This article presents a novel scale-and rotation-invariant detector and descriptor, coined
SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously …

Detection of vascular bifurcations is a challenging task in multimodal retinal image
registration. Existing algorithms based on bifurcations usually fail in correctly aligning poor …

Purpose: Retinal image registration is a useful tool for medical professionals. However,
performance evaluation of registration methods has not been consistently assessed in the …

We introduce a novel CNN-based feature point detector-Greedily Learned Accurate Match
Points (GLAMpoints)-learned in a semi-supervised manner. Our detector extracts …

In this paper, motivated by the problem of multimodal retinal image registration, we introduce
and improve the robust registration framework based on partial intensity invariant feature …

Endoscopic procedures form part of routine clinical practice for minimally invasive
examinations and interventions. While they are beneficial for the patient, reducing surgical …

For retinal image matching (RIM), we propose SuperRetina, the first end-to-end method with
jointly trainable keypoint detector and descriptor. SuperRetina is trained in a novel semi …

(*) Notice: Subject to any disclaimer, the term of this 2007, 0110285 A1* 5, 2007 Hanna et
al....... 382/117 patent is extended or adjusted under 35 2007/0122001 A1* 5/2007 Wang et …