[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
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Jun 18, 2025 - Python
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miccai2024
Here are 24 public repositories matching this topic...
[MICCAI'2024 (Oral, Candidate @ Best Paper Award), MedIA 2025 (Runner up @ MedIA Best Paper Award] Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"
medical-imaging image-generation miccai medical-image-analysis longitudinal diffusion-models disease-progression-model spatiotemporal-modeling miccai2024 brain-latent-progression
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Oct 31, 2025 - Python
A collection of papers published in MICCAI 2024 with their code.
awesome ai detection image-processing prediction artificial-intelligence medical medical-imaging awesome-list segmentation mri-images reconstruction brain miccai cardiovascular classfication medical-image-segmentation medicalimaging medical-image-classification miccai2024
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Oct 11, 2024
[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
clip miccai mammogram rsna retinanet multimodal vision-and-language breast-cancer-classification breast-cancer-detection efficientnet efficient-net vindr miccai2024 rsna-breast-cancer mammo-clip
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Oct 28, 2025 - Python
MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
reconstruction nerf computed-tomography implicit-neural-representation gaussian-splatting miccai2024
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Mar 9, 2025 - Python
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
python deep-learning pytorch medical-imaging image-segmentation unsupervised-learning multiscale semantic-segmentation miccai medical-image-segmentation self-supervised-learning unsupervised-deep-learning unsupervised-segmentation multiscale-segmentation miccai2024 miccai-2024
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May 28, 2025 - Python
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
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Jul 1, 2025 - Python
[MICCAI 2024 Oral] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
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Dec 23, 2024 - Python
[MICCAI 2024] Official code for "SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance" (Simplified Version)
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Aug 4, 2025 - Python
Official Released code for Challenge SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions
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Mar 25, 2025 - Python
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
mri data-generation representation-learning brain miccai pathology foundation-models pathology-segmentation miccai2024
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Feb 27, 2025 - Python
MICCAI 2024 Oral: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
object-detection teeth vision-language object-detector open-set-object-detection vision-language-pretraining miccai2024
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Apr 1, 2025 - Python
Official Implemenation paper published at MICCAI 2024
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Oct 16, 2024 - Jupyter Notebook
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
medical-imaging spurious-correlations chest-xray-images causality fairness miccai invariant-features disentangled-representations unsure out-of-distribution domain-generalization crocodile contrastive-learning domain-shift miccai2024 inject-prior-knowledge
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Oct 15, 2024 - Python
[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
vessel-segmentation miccai diffusion-models vasculature implicit-neural-representation anatomical-shape-analysis miccai2024
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Jun 18, 2024 - Python
MICCAI 2024: Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
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Apr 9, 2025 - Python
[MICCAI'24 DEMI Workshop - Best Paper Award] Evaluating Histopathology Foundation Models for Few-shot Tissue Clustering: an Application to LC25000 Augmented Dataset Cleaning
benchmark computer-vision cancer clustering evaluation dataset digital-pathology lung colon computational-pathology miccai2024 demi2024
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Jan 6, 2025 - Jupyter Notebook
Contribution to the BraTS-Path 2024 Challenge
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Nov 8, 2024 - Python
Official code for Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations (MICCAI'24)
representation-learning oct disease-progression contrastive-learning equivariant-representations miccai2024
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Oct 24, 2024 - Python
This repository contains the source code for our MICCAI 2024 paper titled 'Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise.'
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Nov 26, 2024 - Python
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