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10/09/2022
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
Providing Emotional Support (ES) to soothe people in emotional distress ...
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03/19/2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Due to the lack of properly annotated medical data, exploring the genera...
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02/16/2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images
Nuclei segmentation is a crucial task for whole slide image analysis in ...
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01/22/2022
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis
Utilizing the paired multi-modal neuroimaging data has been proved to be...
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12/31/2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Continual learning requires models to learn new tasks while maintaining ...
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09/29/2021
PAC-Bayes Information Bottleneck
Information bottleneck (IB) depicts a trade-off between the accuracy and...
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05/02/2020
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis
Magnetic Resonance (MR) images of different modalities can provide compl...
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06/05/2019
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Deep learning models, such as the fully convolutional network (FCN), hav...
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05/16/2019
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks
Computed tomography (CT) can provide a 3D view of the patient's internal...
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04/01/2019
