Alternatives and similar repositories for DRIM:

Users that are interested in DRIM are comparing it to the libraries listed below

• MECLabTUDA / M3D-NCA
  ☆25Updated 5 months ago
• yi249 / ssl-causal
  Semi-Supervised Learning for Deep Causal Generative Models
  ☆21Updated 5 months ago
• mengweiren / longitudinal-representation-learning
  ☆18Updated 2 years ago
• Warvito / generative_chestxray
  Repository to train Latent Diffusion Models on Chest X-ray data (MIMIC-CXR) using MONAI Generative Models
  ☆58Updated last year
• funnyzhou / A4SM
  Archive for Self-supervised learning in Medical images (A4SM).
  ☆59Updated 2 years ago
• agaldran / uqinmia-miccai-2023
  Repository associated to the UQinMIA Tutorial @ MICCAI 2023
  ☆27Updated 5 months ago
• neuro-ml / amid
  Awesome Medical Imaging Datasets
  ☆44Updated 5 months ago
• MIDL-Conference / MIDLLatexTemplate
  Latex template for the MIDL Conference
  ☆55Updated 2 months ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆24Updated 2 years ago
• Duplums / yAwareContrastiveLearning
  Official Pytorch Implementation for y-Aware Contrastive Learning
  ☆57Updated last year
• SBU-BMI / champkit
  Benchmarking toolkit for patch-based histopathology image classification.
  ☆40Updated last year
• rajpurkarlab / BenchMD
  ☆76Updated last year
• deel-ai-papers / conformal-segmentation
  Conformal prediction for uncertainty quantification in image segmentation
  ☆22Updated 3 months ago
• nyukat / 3D_GMIC
  3D-GMIC: an efficient deep neural network to find small objects in large 3D images
  ☆30Updated 2 years ago
• rajpurkarlab / cheXpert-test-set-labels
  ☆63Updated 2 years ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆58Updated last week
• ai-med / DAFT
  Dynamic Affine Feature Map Transform
  ☆41Updated 9 months ago
• fepegar / staple
  Python implementation of the STAPLE segmentation algorithm
  ☆28Updated last year
• tqxli / self_supervised_learning_in_medical_imaging
  A collection of self-supervised papers in medical imaging.
  ☆39Updated 4 years ago
• bsauty / longitudinal-VAEs
  An interpretable progression model for high-dimensional neuroimaging data.
  ☆12Updated last year
• biomedia-mira / chexploration
  Official repository for 'Algorithmic encoding of protected characteristics in chest X-ray disease detection models'
  ☆24Updated 2 years ago
• seyuboglu / weakly-supervised-petct
  PyTorch implementation of a multi-task, weak supervision framework for abnormality localization in large, volumetric images.
  ☆22Updated 2 years ago
• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆51Updated 8 months ago
• Sllambias / yucca
  ☆22Updated this week
• xinglab-ai / mda
  Revealing Hidden Patterns in Deep Neural Network Feature Space Continuum via Manifold Learning (Nature Communications, 2023)
  ☆23Updated last year
• yala / Tempo
  Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"
  ☆22Updated 3 years ago
• nyukat / GLAM
  Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
  ☆45Updated 2 years ago
• NataliiaMolch / uq-mia-cookbook
  ☆13Updated 4 months ago
• 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…
  ☆27Updated last year
• RichardObi / medigan
  medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
  ☆152Updated 8 months ago