Codebase for the Big Cross-Modal Attenuation Correction (BIC-MAC) Challenge held in conjunction with MCCAI 2026.
MICCAI 2026 (Main): Dual-Domain Cross-Modal Decoding for Clinical Text-Guided Medical Image Segmentation
The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark.
Companion code for the MICCAI 2026 paper “Lost in the Folds” for uncertainty estimation in medical image segmentation.
Echo-E³Net: Efficient Endocardial Spatio-Temporal Network for EF Estimation | MICCAI 2026 - ASMUS Workshop
[MICCAI 2026] HiFi-Rep: Leveraging High-Resolution Vision Foundation Models with Tri-Planar Slice Context for CT Report Generation
[MAMA-SYNTH Challenge] Official PyTorch implementation of our Top-3 solution: "Supervised Virtual Contrast Enhancement in Breast MRI with Multi-domain Losses and Lesion-aware Decoding"
Benchmarking video foundation models for mitral regurgitation severity classification from echocardiograms. Evaluates 3D CNNs, CLIP, MAE, and JEPA models with frozen encoders + probe heads. MICCAI ASMUS 2026.
Official implementation of our MICCAI MedReason 2026 medical VQA system with option-aware retrieval and task-specific VLM adaptation.
MICCAI CohortX 2026 — 3 clinical text extraction pipelines
Official code for 'Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models' (MI4MedFM @ MICCAI 2026)
Reliability analysis for MICCAI BraTS-GoAT 2026, comparing single-model confidence against deep-ensemble disagreement on calibration and error detection under graded synthetic acquisition shift.
NeuroTS-Net is a three-dimensional, multi-class semantic segmentation neural network architecture designed for pediatric brain tumor segmentation in multimodal MRI
This repository will contain all the code files related to the Lung Digital Twin research work done by IIT Kharagpur, India
Interactive 3D walkthrough of team HMNUnet's pediatric brain tumor segmentation pipeline for BraTS-PEDs 2026 (MICCAI), shown on a real MRI case
Official PyTorch implementation of "Leuko, I am your Prototype" (MICCAI 2026). A real-time dual-branch YOLO framework integrating prototypical learning for fine-grained laryngeal lesion stratification.
nnU-Net-based segmentation baseline for BraTS-GoAT 2026 (Task 3) — Team NeuroAI, DTU. From-scratch ResEnc-M with cohort-stratified cross-validation, analyzing training-validation distribution shift across tumour types.
DualRep: a representation-diverse two-arm ensemble for Barrett’s neoplasia detection, developed for the RARE26 EndoVis-MICCAI 2026 challenge.
Reliable clinical context recovery for multimodal medical AI using real retrieved evidence and NVIDIA cuVS.
Team HMNUnet's BraTS-PEDs 2026 Task 2 submission: two frozen nnU-Net ensembles plus a budgeted, invariant-preserving ET transplant
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