Jon Havelock
According to our database1,
Jon Havelock
authored at least 19 papers
between 2014 and 2023.
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Bibliography
2023
Time Series Classification for Modality-Converted Videos: A Case Study on Predicting Human Embryo Implantation from Time-Lapse Images.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
2021
Timed Data Incrementation: A Data Regularization Method for IVF Implantation Outcome Prediction from Length Variant Time-lapse Image Sequences.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021
Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Deep Learning Approach for Prediction of IVF Implantation Outcome from Day 3 and Day 5 Time-Lapse Human Embryo Image Sequences.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Medical Image Anal., 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Preimplantation Blastomere Boundary Identification in HMC Microscopic Images of Early Stage Human Embryos.
CoRR, 2019
Cell-Net: Embryonic Cell Counting and Centroid Localization via Residual Incremental Atrous Pyramid and Progressive Upsampling Convolution.
IEEE Access, 2019
Multi-Label Classification for Automatic Human Blastocyst Grading with Severely Imbalanced Data.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019
BLAST-NET: Semantic Segmentation of Human Blastocyst Components via Cascaded Atrous Pyramid and Dense Progressive Upsampling.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A hybrid approach for multiple blastomeres identification in early human embryo images.
Comput. Biol. Medicine, 2018
Blastomere Cell Counting and Centroid Localization in Microscopic Images of Human Embryo.
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018
Multi-Resolutional Ensemble of Stacked Dilated U-Net for Inner Cell Mass Segmentation in Human Embryonic Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
IEEE Trans. Biomed. Eng., 2017
Coarse-to-fine texture analysis for inner cell mass identification in human blastocyst microscopic images.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Inner cell mass segmentation in human HMC embryo images using fully convolutional network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2015
IEEE Trans. Biomed. Eng., 2015
2014
Automatic blastomere detection in day 1 to day 2 human embryo images using partitioned graphs and ellipsoids.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014