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06/14/2023
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition
Masked autoencoder (MAE) has attracted unprecedented attention and achie...
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05/30/2023
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models
Large pre-trained vision-language models have shown great prominence in ...
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04/28/2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes
The Segment Anything Model (SAM) made an eye-catching debut recently and...
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03/12/2023
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model
Inevitable domain and task discrepancies in real-world scenarios can imp...
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09/30/2022
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study
The large-scale pre-trained vision language models (VLM) have shown rema...
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12/15/2020
Hypothesis Disparity Regularized Mutual Information Maximization
We propose a hypothesis disparity regularized mutual information maximiz...
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12/08/2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Synthetic medical image generation has a huge potential for improving he...
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06/09/2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
We present an approach for unsupervised domain adaptation—with a strong ...
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03/09/2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Learning in non-stationary environments is one of the biggest challenges...
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03/09/2020
FoCL: Feature-Oriented Continual Learning for Generative Models
In this paper, we propose a general framework in continual learning for ...
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08/14/2019
Dual Adversarial Inference for Text-to-Image Synthesis
Synthesizing images from a given text description involves engaging two ...
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05/28/2019
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks
In practice, histopathological diagnosis of tumor malignancy often requi...
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06/26/2018
