zhilinggavin's Stars
PengtaoJiang/Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Recent weakly supervised semantic segmentation paper
Project-MONAI/VISTA
MONAI Versatile Imaging Segmentation and Annotation
rahuldkjain/github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
poteto/hiring-without-whiteboards
⭐️ Companies that don't have a broken hiring process
spcanelon/silvia
Personal website of Silvia Canelón
saadpasta/developerFolio
🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer. (This is currently not being actively maintained)
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
xhu248/cond_ddpm_wsss
Dmytro-Shvetsov/counterfactual-search
Explainable AI Using Generative Adversarial Networks
ziyangwang007/CV-WSL-MIS
Exploring CNN and ViT for Weakly-Supervised Medical Image Segmentation
ucuapps/WSMIS
Weakly Supervised Medical Images Segmentation
lynx-delta/adapted_u-net_dense_crfs
Fully convolutional encoder-decoder network with dense conditional random fields post-processing for cell segmentation
zabir-nabil/Fibro-CoSANet
Idiopathic pulmonary fibrosis (IPF) is a restrictive interstitial lung disease that causes lung function decline by lung tissue scarring. Although lung function decline is assessed by the forced vital capacity (FVC), determining the accurate progression of IPF remains a challenge. To address this challenge, we proposed Fibro-CoSANet, a novel end-to-end multi-modal learning-based approach, to predict the FVC decline. Fibro-CoSANet utilized CT images and demographic information in convolutional neural network frameworks with a stacked attention layer. Extensive experiments on the OSIC Pulmonary Fibrosis Progression Dataset demonstrated the superiority of our proposed Fibro-CoSANet by achieving the new state-of-the-art modified Laplace Log-Likelihood score of -6.68. This network may benefit research areas concerned with designing networks to improve the prognostic accuracy of IPF.
Wu0409/DuPL
[CVPR'24] DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.
med-air/GazeMedSeg
[MICCAI'24] Weakly-supervised Medical Image Segmentation with Gaze Annotations
levayz/ProtoSAM
Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models
SuperMedIntel/one-prompt
the official repository for CVPR 2024 paper "One-Prompt to Segment All Medical Images"
YangBingQ/MTGS
The code of ours paper "Multi-task learning for concurrent grading diagnosis and semi-supervised segmentation of honeycomb lung in CT images"
BurakCinar07/HoneyCombDetectionInLungCTImages
Detecting Honeycomb and Ground Glass areas in lung CT images with deep learning techniques.
ykszk/SPIE2020
📝SPIE2020 MI CAD
practical-tutorials/project-based-learning
Curated list of project-based tutorials
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
open-airlab/UNav-Sim
Visually Realistic Underwater Robotics Simulator UNav-Sim
Ly0n/awesome-robotic-tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
kanster/awesome-slam
A curated list of awesome SLAM tutorials, projects and communities.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
ermongroup/ddim
Denoising Diffusion Implicit Models
xrenaa/StyleSpace-pytorch
Implementation of StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation in PyTorch