Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation-Reference-Cited by-同舟云学术

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Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Jang Won-Dong¹,Wei Donglai²,Zhang Xingxuan¹,Leahy Brian¹,Yang Helen³,Tompkin James⁴,Ben-Yosef Dalit⁵,Needleman Daniel¹,Pfister Hanspeter¹

Affiliation:

1. Harvard University,School of Engineering and Applied Sciences,MA,USA

2. Boston College,MA,USA

3. Harvard University,Harvard Graduate Program in Biophysics,MA,USA

4. Brown University,Department of Computer Science,RI,USA

5. Fertility & IVF Institute,Tel Aviv Sourasky Medical Center,Israel

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230774.pdf?arnumber=10230774

Reference26 articles.

1. Amodal Instance Segmentation With KINS Dataset

2. SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation – A Synthetic Dataset and Baselines

4. Auto-encoding variational bayes;kingma;ICLRE,2013

5. Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Opnet: Deep Occlusion Perception Network with Boundary Awareness for Amodal Instance Segmentation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. BlastAssist: a deep learning pipeline to measure interpretable features of human embryos;Human Reproduction;2024-02-23

4. Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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