Bin Kong
Orcid: 0000-0003-2108-5341Affiliations:
- Keya Medical Company, Ltd., Shenzhen, China
- University of North Carolina at Charlotte, Department of Computer Science, Charlotte, NC, USA (PhD 2020)
According to our database1,
Bin Kong
authored at least 24 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning.
IEEE Trans. Artif. Intell., April, 2023
2022
Pattern Recognit., 2022
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for unsupervised optic disc and cup segmentation.
Neurocomputing, 2022
Ultrasonography Uterus and Fetus Segmentation with Constrained Spatial-Temporal Memory FCN.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Synergistic Network Learning and Label Correction for Noise-Robust Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.
Neurocomputing, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
2020
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics.
CoRR, 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.
CoRR, 2020
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting.
CoRR, 2020
Comput. Medical Imaging Graph., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding.
CoRR, 2019
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Recognizing End-Diastole and End-Systole Frames via Deep Temporal Regression Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016