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1. DeepLearning-Brain-Interface-Classification DeepLearning-Brain-Interface-Classification Public

   Built three deep learning models for electroencephalography motory imagery signal (brain interface) classification, including CNN, CNN-LSTM and CNN-Transformer.

   Jupyter Notebook 3

2. DeepLearning-Fluorescence-Image-SuperResolution DeepLearning-Fluorescence-Image-SuperResolution Public

   Compared three deep learning models for fluorescence image super resolution, including EDSR, SRGAN and SR3 (diffusion).

   Jupyter Notebook 1 3

3. InstanceSegmenation-CellNuclei-MASK_R-CNN InstanceSegmenation-CellNuclei-MASK_R-CNN Public

   Apply MASK R-CNN for cell nucleus segmentation across multiple imaging modalites (2018 Data Science Bowl)

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4. Multilingual-Visual-Question-Answering-mVQA Multilingual-Visual-Question-Answering-mVQA Public

   Built three Transformer-based models for multilingual visual question answering (mVQA), including ViT + mT5, ViT + mBART and ViTMAE + mT5.

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5. Deep-Learning-for-Infant-Brain-MRI-Tissue-Volumetric-Segmentation Deep-Learning-for-Infant-Brain-MRI-Tissue-Volumetric-Segmentation Public

   Built 3D DenseNet model for volumetric segmentation (3D) of infant brain MRI tissue data.

   Jupyter Notebook