Skip to content
View abhi4ssj's full-sized avatar
Back in the game
Back in the game

Highlights

  • Pro

Organizations

@ai-med
Block or Report

Block or report abhi4ssj

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. ai-med/squeeze_and_excitation ai-med/squeeze_and_excitation Public

    PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

    Python 304 51

  2. ai-med/relaynet_pytorch ai-med/relaynet_pytorch Public

    Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

    Jupyter Notebook 85 32

  3. ai-med/quickNAT_pytorch ai-med/quickNAT_pytorch Public

    PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

    Python 99 35

  4. ai-med/nn-common-modules ai-med/nn-common-modules Public

    Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

    Python 32 15

  5. BayesianQuickNAT BayesianQuickNAT Public

    Trained Models and Deployment code for segmentation and Quality Control of whole-brain segmentation of MRI T1 scans

    MATLAB 9 4

  6. few-shot-segmentation few-shot-segmentation Public

    PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

    Python 97 15