4 citations · 6 across the 4 of their papers we have counts for
4 papers
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei +8
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. F…
Inferring simple but precise quantitative models of human oocyte and early embryo development
Brian D Leahy, Catherine Racowsky, Daniel Needleman
Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenome…
Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation
Won-Dong Jang, Donglai Wei, Xingxuan Zhang +6
Blastomere instance segmentation is important for analyzing embryos' abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. A…
Automated Measurements of Key Morphological Features of Human Embryos for IVF
Brian D. Leahy, Won-Dong Jang, Helen Y. Yang +11
A major challenge in clinical In-Vitro Fertilization (IVF) is selecting the highest quality embryo to transfer to the patient in the hopes of achieving a pregnancy. Time-lapse micr…