Won-Dong Jang
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Explore the profile of Won-Dong Jang including associated specialties, affiliations and a list of published articles.
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Articles
9
Citations
74
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Recent Articles
1.
Yang H, Leahy B, Jang W, Wei D, Kalma Y, Rahav R, et al.
Hum Reprod
. 2024 Feb;
39(4):698-708.
PMID: 38396213
Study Question: Can the BlastAssist deep learning pipeline perform comparably to or outperform human experts and embryologists at measuring interpretable, clinically relevant features of human embryos in IVF? Summary Answer:...
2.
Franco-Barranco D, Lin Z, Jang W, Wang X, Shen Q, Yin W, et al.
IEEE Trans Med Imaging
. 2023 Sep;
42(12):3956-3971.
PMID: 37768797
In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI 2021 conference. Our benchmark...
3.
Yapp C, Novikov E, Jang W, Vallius T, Chen Y, Cicconet M, et al.
Commun Biol
. 2022 Nov;
5(1):1263.
PMID: 36400937
Upcoming technologies enable routine collection of highly multiplexed (20-60 channel), subcellular resolution images of mammalian tissues for research and diagnosis. Extracting single cell data from such images requires accurate image...
4.
Magid S, Zhang Y, Wei D, Jang W, Lin Z, Fu Y, et al.
Proc IEEE Int Conf Comput Vis
. 2022 Apr;
2021:4268-4277.
PMID: 35368831
Deep convolutional neural networks (CNNs) have pushed forward the frontier of super-resolution (SR) research. However, current CNN models exhibit a major flaw: they are biased towards learning low-frequency signals. This...
5.
Lukyanenko S, Jang W, Wei D, Struyven R, Kim Y, Leahy B, et al.
Med Image Comput Comput Assist Interv
. 2021 Oct;
12908:363-372.
PMID: 34671767
The developmental process of embryos follows a monotonic order. An embryo can progressively cleave from one cell to multiple cells and finally transform to morula and blastocyst. For time-lapse videos...
6.
Lin Z, Wei D, Jang W, Zhou S, Chen X, Wang X, et al.
Comput Vis ECCV
. 2020 Dec;
12363:103-120.
PMID: 33345257
For large-scale vision tasks in biomedical images, the labeled data is often limited to train effective deep models. Active learning is a common solution, where a query suggestion method selects...
7.
Wei D, Lin Z, Franco-Barranco D, Wendt N, Liu X, Yin W, et al.
Med Image Comput Comput Assist Interv
. 2020 Dec;
12265:66-76.
PMID: 33283212
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. However, public mitochondria segmentation datasets only contain hundreds of instances with...
8.
Magid S, Jang W, Schapiro D, Wei D, Tompkin J, Sorger P, et al.
Med Image Comput Comput Assist Interv
. 2020 Dec;
12265:3-13.
PMID: 33283211
Interest is growing rapidly in using deep learning to classify biomedical images, and interpreting these deep-learned models is necessary for life-critical decisions and scientific discovery. Effective interpretation techniques accelerate biomarker...
9.
Krueger R, Beyer J, Jang W, Kim N, Sokolov A, Sorger P, et al.
IEEE Trans Vis Comput Graph
. 2019 Sep;
26(1):227-237.
PMID: 31514138
Facetto is a scalable visual analytics application that is used to discover single-cell phenotypes in high-dimensional multi-channel microscopy images of human tumors and tissues. Such images represent the cutting edge...