Papersnitch - MICCAI 2022

MICCAI 2022

2022 575 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	239	984 (±62)	92 (±28)	1,076 (±70)

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

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Title	Authors	Analysis Status	Workflows
Identifying and Combating Bias in Segmentation Networks by leveraging multiple resolutions https://link.springer.com/chapter/10.1007/978-3-031-16443-9_34	Leonie Henschel, David …	Completed	1
Identifying Phenotypic Concepts Discriminating Molecular Breast Cancer Sub-Types https://link.springer.com/chapter/10.1007/978-3-031-16449-1_27	Christoph Fürböck, Matthias …	Completed	1
Implicit Neural Representations for Generative Modeling of Living Cell Shapes https://link.springer.com/chapter/10.1007/978-3-031-16440-8_6	David Wiesner, Julian …	Completed	1
Implicit Neural Representations for Medical Imaging Segmentation https://link.springer.com/chapter/10.1007/978-3-031-16443-9_42	Muhammad Osama Khan, …	Completed	1
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation https://link.springer.com/chapter/10.1007/978-3-031-16434-7_15	Chundan Xu, Ziqi …	Completed	1
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets https://link.springer.com/chapter/10.1007/978-3-031-16452-1_52	Charles Lu, Anastasios …	Completed	1
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling https://link.springer.com/chapter/10.1007/978-3-031-16434-7_38	Iain Carmichael, Andrew …	Completed	1
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples https://link.springer.com/chapter/10.1007/978-3-031-16437-8_48	Linde S. Hesse, …	Completed	1
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation https://link.springer.com/chapter/10.1007/978-3-031-16434-7_14	Yi Lin, Zeyu …	Completed	1
Instrument-tissue Interaction Quintuple Detection in Surgery Videos https://link.springer.com/chapter/10.1007/978-3-031-16449-1_38	Wenjun Lin, Yan …	Completed	1
Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection https://link.springer.com/chapter/10.1007/978-3-031-16437-8_31	Junyong Shen, Yan …	Completed	1
Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia https://link.springer.com/chapter/10.1007/978-3-031-16431-6_6	Huy-Dung Nguyen, Michaël …	Completed	1
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis https://link.springer.com/chapter/10.1007/978-3-031-16452-1_36	Hejie Cui, Wei …	Completed	1
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators https://link.springer.com/chapter/10.1007/978-3-031-16452-1_44	Maryam Toloubidokhti, Nilesh …	Completed	1
Interpretable signature of consciousness in resting-state functional network brain activity https://link.springer.com/chapter/10.1007/978-3-031-16431-6_25	Antoine Grigis, Chloé …	Completed	1
Intervention & Interaction Federated Abnormality Detection with Noisy Clients https://link.springer.com/chapter/10.1007/978-3-031-16452-1_30	Xinyu Liu, Wuyang …	Completed	1
Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography https://link.springer.com/chapter/10.1007/978-3-031-16437-8_6	Kihyun You, Suho …	Completed	1
Invertible Sharpening Network for MRI Reconstruction Enhancement https://link.springer.com/chapter/10.1007/978-3-031-16446-0_55	Siyuan Dong, Eric …	Completed	1
Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs https://link.springer.com/chapter/10.1007/978-3-031-16431-6_7	Marla Narazani, Ignacio …	Completed	1
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images https://link.springer.com/chapter/10.1007/978-3-031-16443-9_45	Qin Liu, Zhenlin …	Completed	1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels https://link.springer.com/chapter/10.1007/978-3-031-16440-8_56	Xiaoqing Guo, Yixuan …	Completed	1
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome https://link.springer.com/chapter/10.1007/978-3-031-16431-6_22	Yueting Li, Qingyue …	Completed	1
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation https://link.springer.com/chapter/10.1007/978-3-031-16443-9_35	Shangqi Gao, Hangqi …	Completed	1
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning https://link.springer.com/chapter/10.1007/978-3-031-16437-8_34	Tianling Liu, Wennan …	Completed	1
Joint Region-Attention and Multi-Scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal Cancer https://link.springer.com/chapter/10.1007/978-3-031-16434-7_29	Zhilong Lv, Rui …	Completed	1