The method by which data from different images are amalgamated into a single image so as
to upgrade the quality of the image and reduce the artifacts, randomness, and redundancy is …

Robust registration of unimodal and multimodal images is a key task in biomedical image
analysis, and is often utilized as an initial step on which subsequent analysis techniques …

In this paper we propose a two-dimensional hidden Markov model (HMM)-based framework
for solving the cell tracing problem in a biological image sequence. Given label initialization …

Modern advances in imaging technology have enabled the collection of huge amounts of
multimodal imagery of complex biological systems. The extraction of information from this …

Automated segmentation of electron microcope (EM) images is a challenging problem, but
the presence of related images of a different modality can be a valuable resource. This …

Neural circuitry reconstruction is a central problem in neuroscience and the focus of the field
of connectomics, where automatic high-throughput techniques are essential since human …