Nanqing Dong : Publications

Federated Partially Supervised Learning with Limited Decentralized Medical Images

Nanqing Dong‚ Michaek Kampffmeyer‚ Irina Voiculescu and Eric Xing

In IEEE Transactions on Medical Imaging. December, 2022.

Details about Federated Partially Supervised Learning with Limited Decentralized Medical Images | BibTeX data for Federated Partially Supervised Learning with Limited Decentralized Medical Images | Link to Federated Partially Supervised Learning with Limited Decentralized Medical Images

Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision

Ziyang Wang‚ Nanqing Dong and Irina Voiculescu

IEEE International Conference on Image Processing. October, 2022.

Details about Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision | BibTeX data for Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision | Link to Computationally−Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo−Label Supervision

Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification

Nanqing Dong‚ Michaek Kampffmeyer‚ Irina Voiculescu and Eric Xing

In Pattern Recognition. Vol. 129. Pages 108750. 2022.

Details about Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification | BibTeX data for Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification | DOI (https://doi.org/10.1016/j.patcog.2022.108750)

Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data

Nanqing Dong‚ Michael Kampffmeyer‚ Xiaodan Liang‚ Min Xu‚ Irina Voiculescu and Eric Xing

In Applied Soft Computing. 2022.

Details about Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data | BibTeX data for Towards Robust Partially Supervised Multi−Structure Medical Image Segmentation on Small−Scale Data | DOI (https://doi.org/10.1016/j.asoc.2021.108074)

Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity

Nanqing Dong‚ Jiayi Wang and Irina Voiculescu

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4212−4220. 2022.

Details about Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity | BibTeX data for Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity | DOI (https://doi.org/10.1109/CVPRW56347.2022.00466) | Link to Revisiting Vicinal Risk Minimization for Partially Supervised Multi−Label Classification Under Data Scarcity

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Nanqing Dong‚ Michael Kampffmeyer and Irina Voiculescu

In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2022.

Details about Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | BibTeX data for Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images | Link to Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images

Federated Contrastive Learning for Decentralized Unlabeled Medical Images

Nanqing Dong and Irina Voiculescu

In International Conference on Medical Image Computing and Computer−Assisted Intervention. Pages 379−387. 2021.

Details about Federated Contrastive Learning for Decentralized Unlabeled Medical Images | BibTeX data for Federated Contrastive Learning for Decentralized Unlabeled Medical Images | DOI (https://doi.org/10.1007/978-3-030-87199-4_36) | Link to Federated Contrastive Learning for Decentralized Unlabeled Medical Images