Alternatives and similar repositories for image-time-series

Users that are interested in image-time-series are comparing it to the libraries listed below

• ysuter / gbm-data-longitudinal
  This repository contains code used to prepare the LUMIERE Glioblastoma dataset.
  ☆28Updated last year
• icometrix / gmm-augmentation
  ☆20Updated 4 years ago
• MIC-DKFZ / BodyPartRegression
  ☆75Updated 2 weeks ago
• MIC-DKFZ / segmentation_failures_benchmark
  ☆15Updated 7 months ago
• gift-surg / MONAIfbs
  ☆25Updated last year
• fepegar / highresnet
  PyTorch implementation of HighRes3DNet
  ☆55Updated last month
• TheoEst / joint_registration_tumor_segmentation
  ☆23Updated 3 years ago
• fepegar / staple
  Python implementation of the STAPLE segmentation algorithm
  ☆29Updated last year
• wulalago / FetalCPSeg
  A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI
  ☆16Updated 2 years ago
• mist-medical / MIST
  MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.
  ☆49Updated last week
• aqqush / CT_BET
  Robust Brain Extraction Tool for CT Head Images
  ☆47Updated 4 years ago
• MIDL-Conference / MIDLLatexTemplate
  Latex template for the MIDL Conference
  ☆57Updated 8 months ago
• KCL-BMEIS / VS_Seg
  Automatic Segmentation of Vestibular Schwannoma with MONAI (PyTorch)
  ☆50Updated last year
• MIC-DKFZ / nnssl
  ☆87Updated 2 weeks ago
• RSIP-Vision / medio
  Medical images I/O python package
  ☆34Updated last week
• NIC-VICOROB / stroke-core-ct-segmentation
  Docker for running stroke lesion core segmentation
  ☆29Updated 4 years ago
• MungoMeng / Survival-AdaMSS
  AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
  ☆14Updated 8 months ago
• ezequieldlrosa / isles22
  ☆42Updated last year
• Novestars / Neural_Pre_Processing
  Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, sk…
  ☆28Updated last year
• nkdinsdale / Unlearning_for_MRI_harmonisation
  Code for implementation of Unlearning Scanner Bias for MRI Harmonisation
  ☆28Updated 4 years ago
• jenspetersen / probabilistic-unet
  A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth
  ☆43Updated 6 years ago
• neuronflow / BraTS-Toolkit
  Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
  ☆91Updated 11 months ago
• MIC-DKFZ / batchgeneratorsv2
  ☆25Updated 3 months ago
• DIAGNijmegen / prostateMR_3D-CAD-csPCa
  Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…
  ☆43Updated 3 years ago
• bbrister / ctOrganSegmentation
  Morphological organ segmentation for CT scans
  ☆21Updated 4 years ago
• fepegar / resseg-ijcars
  Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simul…
  ☆17Updated last year
• tureckova / Abdomen-CT-Image-Segmentation
  The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
  ☆31Updated 4 years ago
• CCI-Bonn / HD-GLIO
  Automated deep-learning based brain tumor segmentation on MRI
  ☆33Updated 3 years ago
• cwmok / DIRAC
  This is the official Pytorch implementation of "Unsupervised Deformable Image Registration with Absent Correspondences in Pre-operative a…
  ☆44Updated 2 years ago
• neel-dey / Atlas-GAN
  [ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates
  ☆51Updated 2 years ago