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1. Deep_learning_to_improve_breast_Cancer_pytorch Deep_learning_to_improve_breast_Cancer_pytorch Public

   In this repository, I implemented the deep learning classifier introduced in the paper "Deep Learning to Improve Breast Cancer Detection on Screening Mammography" using PyTorch.

   Python 10 4

2. CBIS-DDSM-DATASET CBIS-DDSM-DATASET Public

   If you want to train a breast cancer classifier or a segmentation model using the CBIS-DDSM dataset, this repository may help you to extract the mammograms and the masks from the original folder ea…

   Python 32 4

3. Semantic-Reconstruction-using-fNIRS-signal Semantic-Reconstruction-using-fNIRS-signal Public

   RNN is trained to reconstruct the original vector representation of perceived words from the neural activity recorded by fNIRS.

   Python 3 2

4. fNIRS-preprocessing-guide fNIRS-preprocessing-guide Public

   Preprocessing the fNIRS data from the paper "The use of broad vs restricted regions of interest in functional near-infrared spectroscopy for measuring cortical activation to auditory-only and visua…

   Jupyter Notebook 6 1

5. fNIRS_classification_model fNIRS_classification_model Public

   This repostiry contains the code requires to train a SVM and LDA models to distinguish between perceived speech and silence from fNIRS signals.

   Jupyter Notebook 3 1

6. fnirs-datasets fnirs-datasets Public

   Loaders for 67 public fNIRS datasets in one common format with channel positions in MNI space. Together, these datasets comprises 1,955 hours of recordings from 2,798 participants

   Python 5 1