cesaracebes

cesaracebes's Stars

• YuliWanghust/CTA_repairment_topology

  [MICCAI'24] Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation through Disconnected Components Repair and Open Curve Snake

  Language:Python4

• rsalmei/alive-progress

  A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

  Language:Python5.6k211

• PengchengShi1220/NexToU

  NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentation

  Language:Python582

• reckdk/SkelCompletion-3D

  This is an official implementation of the MICCAI2024 paper "Self-supervised 3D Skeleton Completion for Vascular Structures".

  Language:Jupyter Notebook8

• lseventeen/DIAS

  [MedIA2024]DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences

  Language:Python252

• aiforvision/OCTA-autosegmentation

  Repository for the paper "Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations" (2024).

  Language:Jupyter Notebook325

• 01ferrereva/BT-23_24

  Code generated as part of the Bachelor Thesis conducted during the course 2023-2024. This code is to streamline a pool of synthetic patients through diagnosing CAD. This code incorporates a GUI directed to clinicians integrating this optimized process.

  Language:Python1

• ImranNust/AortaSeg24

  This repository contains codes for AortaSeg24 Grand-Challenge.

  Language:Python163

• clovermini/Skea_topo

  The PyTorch implementation of the skea-topo aware loss proposed in paper: Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods

  Language:Python123

• 5k5000/DeepClosing

  The code of our paper 'Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation'

  Language:Python12

• bowang-lab/U-Mamba

  U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

  Language:Python72271

• orangeqqq/KeypLoss

  1

• YzzLiu/FracSegNet

  A deep-learning method for segmenting fractures from 3D CT images.

  Language:Python233

• fecia82/DICOM_ppt

  Language:Python3

• YaoleiQi/DSCNet

  Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

  Language:Python44039

• nick-byrne/topological-losses

  Topological losses for spatially coherent CNN-based (multi-class) image segmentation in 2D and 3D

  Language:Jupyter Notebook21

• arcadelab/FastSAM3D

  Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"

  Language:Python704

• dvisionlab/Scyther

  Curvilinear multiplanar reformat for Dicom Images, powered by VTK with python binding.

  Language:C++162

• chinmay5/vesselformer

  Language:Python112

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3.1k429

• miykael/gif_your_nifti

  How to create fancy GIFs from an MRI brain image

  Language:Python12034

• niccolo246/Advanced_nnUNet

  Language:Python252

• Zhongrocky/code

  Language:Python1

• martinmenten/skeletonization-for-gradient-based-optimization

  Language:Python413

• jocpae/clDice

  Language:Python22128

• YH-Qiu/CorSegRec

  For MICCAI 2023

  14

• xy123chen/MASS

  MASS: Modality-collaborative semi-supervised segmentation by exploiting cross-modal consistency from unpaired CT and MRI images

  Language:Python111

• GSTT-CSC/TotalSegmentator-AIDE

  TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.

  Language:Python245

• qiajinmingliang/lctUnet

  The code will be released after the paper is published

  Language:Python6

• balinthomonnay/coronary_cta_prediciton

  Language:Jupyter Notebook145