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@NUBagciLab

Machine and Hybrid Intelligence Lab

Northwestern University

Popular repositories Loading

  1. PaNSegNet PaNSegNet Public

    Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

    Python 11 3

  2. r2r_proto r2r_proto Public

    Python 2

  3. CirrMRI600- CirrMRI600- Public

    CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

    Python 2 1

  4. Peri-Pancreatic-Edema-Detection Peri-Pancreatic-Edema-Detection Public

    Python 1

  5. medical_iba medical_iba Public

    Python

  6. LinTransUNet LinTransUNet Public

    Python

Repositories

Showing 10 of 13 repositories
  • DiffBoost Public

    DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model

    NUBagciLab/DiffBoost’s past year of commit activity
    Python 0 0 0 0 Updated Sep 19, 2024
  • AdverIN Public

    AdverIN Monotonic Adversarial Intensity Attack for Domain Generalization in Medical Image Segmentation

    NUBagciLab/AdverIN’s past year of commit activity
    Python 0 0 0 0 Updated Sep 17, 2024
  • PaNSegNet Public

    Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

    NUBagciLab/PaNSegNet’s past year of commit activity
    Python 11 3 1 0 Updated Sep 13, 2024
  • Lung Public
    NUBagciLab/Lung’s past year of commit activity
    Python 0 0 0 0 Updated Aug 6, 2024
  • Peri-Pancreatic-Edema-Detection Public
    NUBagciLab/Peri-Pancreatic-Edema-Detection’s past year of commit activity
    Python 1 0 0 0 Updated Jul 31, 2024
  • CirrMRI600- Public

    CirrMRI600+: Large Scale MRI Collection and Segmentation of Cirrhotic Liver

    NUBagciLab/CirrMRI600-’s past year of commit activity
    Python 2 1 0 0 Updated Jun 15, 2024
  • ipmn_radiomics Public
    NUBagciLab/ipmn_radiomics’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Mar 22, 2024
  • Therapeutic-Hypothermia-Outcome-Classification Public

    This repository includes an optimized XGBoost Classifier and necessary files to build the webpage for a usable interface. The interface, utilizing the trained model, takes input of a neonate's gestation age, postnatal age, creatinine, and birth weight, and produces one of five predicted outcomes/suggestions of the treatment for the patient.

    NUBagciLab/Therapeutic-Hypothermia-Outcome-Classification’s past year of commit activity
    HTML 0 0 0 0 Updated Mar 12, 2024
  • r2r_proto Public
    NUBagciLab/r2r_proto’s past year of commit activity
    Python 2 GPL-3.0 0 0 0 Updated Jan 3, 2024
  • medical_iba Public
    NUBagciLab/medical_iba’s past year of commit activity
    Python 0 0 0 0 Updated Jan 3, 2024
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