Pinned Repositories
CTPelvic1K
Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.
STU-Net
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.
A-Eval
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
STU-Net
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
AdwU-Net
[MIDL22] Adaptive depth and width U-Net. Search task-specific optimal depth and width of U-Net by DNAS method.
FLARE21
FLARE22
Champion Solution of MICCAI FLARE22 Challenge based on nnU-Net.
FLARE23
A nnU-Netv2 based acceleration solution for Abdominal organs and tumor segmentation.
research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
STU-Net
Ziyan-Huang's Repositories
Ziyan-Huang/FLARE22
Champion Solution of MICCAI FLARE22 Challenge based on nnU-Net.
Ziyan-Huang/AdwU-Net
[MIDL22] Adaptive depth and width U-Net. Search task-specific optimal depth and width of U-Net by DNAS method.
Ziyan-Huang/FLARE23
A nnU-Netv2 based acceleration solution for Abdominal organs and tumor segmentation.
Ziyan-Huang/STU-Net
Ziyan-Huang/FLARE21
Ziyan-Huang/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.