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06/15/2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Recent text-to-image generative models can generate high-fidelity images...
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05/18/2023
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
This paper introduces a novel explainable image quality evaluation appro...
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03/27/2023
Label-Free Liver Tumor Segmentation
We demonstrate that AI models can accurately segment liver tumors withou...
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12/08/2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
Well-annotated medical datasets enable deep neural networks (DNNs) to ga...
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12/01/2022
Rethinking Two Consensuses of the Transferability in Deep Learning
Deep transfer learning (DTL) has formed a long-term quest toward enablin...
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10/26/2022
Synthetic Tumors Make AI Segment Tumors Better
We develop a novel strategy to generate synthetic tumors. Unlike existin...
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10/10/2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
The self-supervised ultrasound (US) video model pretraining can use a sm...
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06/03/2022
MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models
When applying transfer learning for medical image analysis, downstream t...
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10/29/2021
QDCNN: Quantum Dilated Convolutional Neural Network
In recent years, with rapid progress in the development of quantum techn...
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11/25/2020
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning
Most deep neural networks (DNNs) based ultrasound (US) medical image ana...
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06/11/2019