Papersnitch - MICCAI 2026

MICCAI 2026

2026 1165 papers

Workflow Node Statistics (Latest Run per Paper)

Average token usage per workflow node, based on the latest completed run for each paper.

Node	Papers	Avg Input	Avg Output	Avg Total
Code_Availability_Check	312	1,453 (±1,408)	102 (±38)	1,554 (±1,415)
Code_Embedding	1	90,595	2,125	92,720
Code_Repository_Analysis	1	87,542	11,649	99,191
Final_Aggregation	1	864	581	1,445
Paper_Type_Classification	1	5,157	326	5,483
Reproducibility_Checklist	1	26,961	5,369	32,330
Section_Embeddings	1	5,273	0	5,273

Standard deviations shown in parentheses (±). Data reflects latest workflow run per paper.

Filters apply automatically as you type

Title	Authors	Analysis Status	Workflows
Latent-to-Latent Flow for Volumetric Stochastic Segmentation	Todd Omar, Kim …	Completed	1
Learnable Gaussian Prototype Guided Ordinal Learning for Fine-Grained WSI Grading	Deng Yingjiao, Zhang …	Completed	1
Learnable In-Context Templates for Medical Image Segmentation via In-Context Learning	Bao Xueqi, Zheng …	Completed	1
Learning Beyond Pixels: Structured Knowledge Topology Consistency for Semi-supervised 2D/3D Medical Image Segmentation	Chen Yu, Xu …	Completed	1
Learning Class Difficulty via Dynamic Focal Attention for Histopathology Segmentation	Rathukohe Mudiyanselage Lakmali …	Completed	1
Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis	Hu Zhangfeng, Yang …	Completed	1
Learning Diverse and Realistic Polyp Data via Style-Fused Diffusion Models	Han Longfei, Zhai …	Completed	1
Learning Dual Prior Presentation for Opportunistic Screening of Visceral Artery Aneurysms on Non-Contrast CT	Zhang Jianfeng, Liu …	Completed	1
Learning from Good Neighbors: Slice-wise Quality-aware CT-to-Diffusion MRI Synthesis	Na You-Kyoung, Choi …	Completed	1
Learning Geometry-Aware Bundles with Spectral Heat Kernel Diffusion for fMRI-based Brain Disease Diagnosis	Yin Feiyu, Xu …	Completed	1
Learning Hierarchical Anatomy-Grounded Representation for Cross-Modal Registration	Mi Jia, Jiang …	Completed	1
Learning Invariant Anatomical Representations from Multi-Sequence MRI for Brain Segmentation	Liang Jianwen, Cheng …	Completed	1
Learning Modality-Invariant Structure and Distribution Alignment for Multimodal Medical Image Registration	Xiao Siqi, Feng …	Completed	1
Learning Prototypes for Unsupervised Joint Generation of Conditional Templates and Atlases	Zhang Jichang, Che …	Completed	1
Learning Quantitative Calibration of Computed Tomography for Bone Mineral Density Estimation Using Multi-Center Data	Schöller Job H. …	Completed	1
Learning Robust Medical Image Segmentation Under Mixed-Quality Annotations	Jeong Minjae, Lee …	Completed	1
Learning Role-Conditioned Alignment for Medical Image Referring Segmentation	Li Kun, Wang …	Completed	1
Learning Task-Specific Anatomical Priors via Context Distillation for In-Context Medical Image Segmentation	Yang Guoqing, Hu …	Completed	1
Learning the Hierarchical Organization in Brain Network for Brain Disorder Diagnosis	Tang Jingfeng, Cao …	Completed	1
Learning to Distort: Weakly-Supervised Image Quality Transfer for Prostate DWI Correction	Tang Yucheng, Yan …	Completed	1
Learning to Optimize Radiotherapy Plans via Fluence Maps Diffusion Model Generation and LSTM-Based Optimization	Poles Isabella, Arberet …	Completed	1
Learning to Read Where to Look: Disease-Aware Vision–Language Pretraining for 3D CT	Ging Simon, Arnold …	Completed	1
Learning to Segment Burns with Limited Labels: A Dual-Path Cascaded Network with Uncertainty-Guided Teacher Diffusion Exposure	Chauhan Joohi, Singh …	Completed	1
Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA	Xu Zibo, Li …	Completed	1
Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification	Hossain Tonmoy, Zhang …	Completed	1