LIN Feng

Transduction on Directed Graphs via Absorbing Random Walks

In this paper we consider the problem of graph-based transductive classification, and we are particularly interested in the directed graph scenario which is a natural form for many real world applications.Different from existing research efforts that either only deal with undirected graphs or circumvent directionality by means of symmetrization, we propose a novel random walk approach on directed graphs using absorbing Markov chains, which can be regarded as maximizing the accumulated expected number of visits from the unlabeled transient states.

type: 
Journal Paper
journal: 
IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 99, 2017, doi:10.1109/TPAMI.2017.2730871
pubmed: 
28809671
Url: 
http://ieeexplore.ieee.org/document/8008851/
Impact Factor: 
8.329

Muscle segmentation in time series images of Drosophila metamorphosis

In order to study genes associated with muscular disorders, we characterize the phenotypic changes in Drosophila muscle cells during metamorphosis caused by genetic perturbations. We collect in vivo images of muscle fibers during remodeling of larval to adult muscles. In this paper, we focus on the new image processing pipeline designed to quantify the changes in shape and size of muscles. We propose a new two-step approach to muscle segmentation in time series images.

type: 
Conference Paper/Poster
journal: 
Proceedings : 37th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society (EMBC) 25-29 Aug 2015, doi: 10.1109/EMBC.2015.7319044
pubmed: 
26736944
Url: 
https://www.ncbi.nlm.nih.gov/pubmed/26736944

A Graph-theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images

The aim of this study is about tracing filamentary structures in both neuronal and retinal images. It is often crucial to identify single neurons in neuronal networks, or separate vessel tree structures in retinal blood vessel networks, in applications such as drug screening for neurological disorders or computeraided diagnosis of diabetic retinopathy. Both tasks are challenging as the same bottleneck issue of filament crossovers is commonly encountered, which essentially hinders the ability of existing systems to conduct large-scale drug screening or practical clinical usage.

type: 
Journal Paper
journal: 
IEEE Transactions on Medical Imaging, DOI 10.1109/TMI.2015.2465962, vol.35, pp.1-17, 2015
pubmed: 
26316029
Url: 
http://www.ncbi.nlm.nih.gov/pubmed/26316029
Impact Factor: 
3.39
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