π¨βπ» π¨βπ» π¨βπ» I'm a medical image analysis researcher with an ideology of bringing computer-based technological advancements into healthcare. Via this small git, I hope to share with you my recent research outcomes, which is mainly related to CT image registration and super-resolution. I would be very happy if you could find anything from this git helpful to your research. π±π±π±
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Diagnostic Image Analysis Group, Radboudumc
- Nijmegen, Netherlands
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Super-Resolution-of-Lung-nCECT-Images-Using-CycleGAN
Super-Resolution-of-Lung-nCECT-Images-Using-CycleGAN PublicCycleGAN-based Super Resolution of Lung nCECT Images of COPD and Lung Cancer Patients
Python 5
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3D-Seedless-Region-Growing-for-RFA-Needle-Modeling
3D-Seedless-Region-Growing-for-RFA-Needle-Modeling PublicForked from thuanchu-99/rfa-segmentation
Python 2
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Auto-LSF-Quantification-Using-CNN-based-segmentation-and-Elastix-based-registration
Auto-LSF-Quantification-Using-CNN-based-segmentation-and-Elastix-based-registration PublicQuantification of Liver-Lung Shunt Fraction on 3D SPECT/CT Images for Selective Internal Radiation Therapy of Liver Cancer Using CNN-Based Segmentations and Nonrigid Registration
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Fashion_recommender
Fashion_recommender PublicThe Fashion_recommender (FR) system recommends similar items to the buyers based on the input item
Jupyter Notebook 3
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