Nightmare4214

server-config

DataStructureStudy

GeneralizedLoss-Counting-Pytorch-semi

unoffical implement for Learning to Count via Unbalanced Optimal Transport

Nightmare4214.github.io

Anatomic-Landmark-Detection

Bayesian-Crowd-Counting

Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision

Blackbean_FLARE22

Champion Solution of MICCAI FLARE22 Challenge based on nnU-Net.

ContourHuggingHeatmaps

CTPelvic1K

Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.

DM-Count

Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.

EfficientSegmentation

Segmentation for medical image.

EverydayLim

每日lim

FARNet

we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

fast_uot

[AISTATS22] This is a repository which computes Unbalanced Optimal Transport in faster settings.

FracNet

[EBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

GeneralizedLoss-Counting-Pytorch

official implementation of the CVPR21 paper "A Generalized Loss Function for Crowd Counting and Localization"

HDC-Net

HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation

KPG-RL

Keypoint-Guided Optimal Transport (NeurIPS 2022)

MedicalDataAugmentationTool-HeatmapRegression

my_unet

ocelot-segdet

Submission for the OCELOT Grand Challenge

ocelot23algo

OCELOT 2023: Cell Detection from Cell-Tissue Interaction

Oneshot_landmark_detection

Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)

PPOT

pytorch-cpn

A PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)

pytorch_stacked_hourglass

Pytorch implementation of "Stacked Hourglass Networks for Human Pose Estimation"

re_nfa_dfa

vtk-examples

This is the VTK Examples Web Site. This is a mirror of the https://gitlab.kitware.com/vtk/vtk-examples repository in order to host web pages. DO NOT SUBMIT MERGE REQUESTS HERE.

wassdistance

Approximating Wasserstein distances with PyTorch

YOLO_Universal_Anatomical_Landmark_Detection

[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657