miccai2024

There are 2 repositories under miccai2024 topic.

mazurowski-lab / segmentation-guided-diffusion
[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
conditional-diffusion ddpm diffusers diffusion-models miccai2024 semantic-synthesis
Language:Python 69
ChenLiu-1996 / CUTS
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
image-segmentation medical-image-segmentation medical-imaging python pytorch unsupervised-learning unsupervised-segmentation deep-learning multiscale self-supervised-learning unsupervised-deep-learning multiscale-segmentation semantic-segmentation miccai-2024 miccai2024 miccai
Language:Python 27
xmed-lab / DIF-Gaussian
MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
computed-tomography gaussian-splatting implicit-neural-representation miccai2024 nerf reconstruction
Language:Python 22
LemuelPuglisi / BrLP
[MICCAI 2024] Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"
diffusion-models disease-progression-model miccai2024 spatiotemporal-modeling miccai
Language:Python 15
Scatteredrain / SALI
[MICCAI 2024] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
colonoscopy miccai2024 video-polyp-segmentation long-and-short-term-modeling
Language:Python 15
hding2455 / CaRTS
Official Released code for Challenge SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions
endovis miccai2024
Language:Python 12
batmanlab / Mammo-CLIP
Official Pytorch implementation of MICCAI 2024 paper (early accept, top 11%) Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
breast-cancer-classification breast-cancer-detection clip efficient-net efficientnet mammo-clip mammogram miccai miccai2024 multimodal retinanet rsna rsna-breast-cancer vindr vision-and-language
Language:Python 11
peirong26 / PEPSI
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
brain data-generation pathology representation-learning foundation-models pathology-segmentation mri miccai2024 miccai
Language:Python 4
CVPR-KIT / SAM-Guided-Enhanced-Nuclei-Segmentation
Official Implemenation paper published at MICCAI 2024
miccai2024 nuclei-segmentation sam
Language:Jupyter Notebook 2
gianlucarloni / crocodile
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
causality chest-xray-images contrastive-learning disentangled-representations domain-generalization domain-shift fairness invariant-features medical-imaging out-of-distribution spurious-correlations inject-prior-knowledge miccai miccai2024 unsure
Language:Python 2
EmreTaha / TC-time_equivariant_disease_progression
TC (MICCAI 2024) official code
disease-progression equivariant-representations miccai2024 oct representation-learning contrastive-learning
Language:Python 1
GeorgeBatch / LC25000-clean
[MICCAI'24 DEMI workshop] Evaluating Histopathology Foundation Models for Few-shot Tissue Clustering: an Application to LC25000 Augmented Dataset Cleaning
benchmark cancer clustering colon computational-pathology computer-vision dataset digital-pathology evaluation lung miccai2024 demi2024
Language:Jupyter Notebook 1
Hejrati / cDAL
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
diffusion-models image-segmentation miccai2024
Language:Python 1
sfu-mial / TreeDiffusion
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
diffusion-models implicit-neural-representation implicit-surfaces neural-fields occupancy-modeling tree-structure vasculature vessel-segmentation miccai2024
Language:Python 1
sinAshish / TreeDiffusion
[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
diffusion-models implicit-neural-representation vasculature vessel-segmentation miccai miccai2024 anatomical-shape-analysis
Language:Python 1
xmed-lab / FD-SOS
MICCAI 2024: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
miccai2024 object-detection object-detector open-set-object-detection teeth vision-language vision-language-pretraining
Language:Python 1
aurooj / VLM_SS
Official implementation of MICCAI 2024 paper: "Knowledge-grounded Adaptation Strategy for Vision-language Models: Building a Unique Case-set for Screening Mammograms for Residents Training".
mammogram medical-imaging medical-vision-language-model miccai miccai2024 multimodal-learning multimodal-representation-learning multimodal-retrieval vision-and-language vision-language-transformer minibatch-selective-sampling
brainpolislab / E-KAN
E-KAN algorithm official repo with material to reproduce the experiments
ensamble-model kolmogorov-arnold-networks machine-learning neuroimaging pronia psychiatry miccai2024
Language:Python

miccai2024

mazurowski-lab / segmentation-guided-diffusion

ChenLiu-1996 / CUTS

xmed-lab / DIF-Gaussian

LemuelPuglisi / BrLP

Scatteredrain / SALI

hding2455 / CaRTS

batmanlab / Mammo-CLIP

peirong26 / PEPSI

CVPR-KIT / SAM-Guided-Enhanced-Nuclei-Segmentation

gianlucarloni / crocodile

EmreTaha / TC-time_equivariant_disease_progression

GeorgeBatch / LC25000-clean

Hejrati / cDAL

sfu-mial / TreeDiffusion

sinAshish / TreeDiffusion

xmed-lab / FD-SOS

aurooj / VLM_SS

brainpolislab / E-KAN