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"Fair Federated AI" Summer School, July 19-21, 2024; 16:00 — 19:30 CET time
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
A description of the winning solution for the validation dataset in the 2022 Intracranial Hemorrhage Segmentation challenge (INSTANCE 2022)
nnUNet incorporating additional baselines as SAMed️, Mamba Variants, and MedNeXT to establish a benchmark for MICCAI 2024 segmentation challenges.
Using learned visual representations from diffusion models for brain tumor segmentation.
repository for CAML: Correlation-aware mutual learning for semi-supervised medical image segmentation
CVPR 2024: AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
A curated list of foundation models for vision and language tasks in medical imaging
This repository contains the code derived from the writing of the master thesis project on mammographic image generation using diffusion models.
Docker for running stroke lesion core segmentation
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reducing the size of the network while achieving performance simil…
Pytorch implementation of various Knowledge Distillation (KD) methods.
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…
Awesome Knowledge Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Efficient computing methods developed by Huawei Noah's Ark Lab
A curated list of awesome self-supervised methods
[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
Paper Title: Heterogeneous Knowledge Distillation for Simultaneous Infrared-Visible Image Fusion and Super-Resolution
MICCAI Challenge 2023: LoRA Fine-Tuned Segement Anything Model Pubic Symphysis-Fetal Head Segmentation and Angle of Progression in Ultrasound Imaging
AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation