Contribution to the BraTS-Path 2024 Challenge
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Updated
Nov 8, 2024 - Python
Contribution to the BraTS-Path 2024 Challenge
Mini-batch selective sampling for knowledge adaption of VLMs for mammography.
[MICCAI'24 DEMI Workshop - Best Paper Award] Evaluating Histopathology Foundation Models for Few-shot Tissue Clustering: an Application to LC25000 Augmented Dataset Cleaning
Official code for Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations (MICCAI'24)
Official Code for "Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields"
E-KAN algorithm official repo with material to reproduce the experiments
Official Implemenation paper published at MICCAI 2024
[MICCAI 2024] TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
MICCAI 2024 Oral: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
Carloni, G., Tsaftaris, S. A., & Colantonio, S. (2024). CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning @ MICCAI 2024 UNSURE Workshop
[MICCAI 2024] PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
A collection of papers published in MICCAI 2024 with their code.
Official Released code for Challenge SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions
Official code for "SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance" MICCAI 2024 (Simplified Version)
[MICCAI 2024] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
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
[MICCAI 2024] CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
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