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.
Filters apply automatically as you type
Title Authors Analysis Status Workflows Tokens Actions
Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network
https://link.springer.com/chapter/10.1007/978-3-031-16431-6_23
Shijie Zhao, Long …
Completed
1
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation
https://link.springer.com/chapter/10.1007/978-3-031-16431-6_49
Zheyao Gao, Lei …
Completed
1
Deep filter bank regression for super-resolution of anisotropic MR brain images
https://link.springer.com/chapter/10.1007/978-3-031-16446-0_58
Samuel W. Remedios, …
Completed
1
Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_59
Florian Kordon, Andreas …
Completed
1
Deep is a Luxury We Don't Have
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_3
Ahmed Taha, Yen …
Completed
1
Deep Laparoscopic Stereo Matching with Transformers
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_44
Xuelian Cheng, Yiran …
Completed
1
Deep Learning based Modality-Independent Intracranial Aneurysm Detection
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_73
Žiga Bizjak, June …
Completed
1
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_54
Xi Fang, Daeseung …
Completed
1
Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_55
Bin Wang, Lin …
Completed
1
Deep Motion Network for Freehand 3D Ultrasound Reconstruction
https://link.springer.com/chapter/10.1007/978-3-031-16440-8_28
Mingyuan Luo, Xin …
Completed
1
Deep Multimodal Guidance for Medical Image Classification
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_29
Mayur Mallya, Ghassan …
Completed
1
Deep Regression with Spatial-Frequency Feature Coupling and Image Synthesis for Robot-Assisted Endomicroscopy
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_16
Chi Xu, Alfie …
Completed
1
Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_67
Paula López Diez, …
Completed
1
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations
https://link.springer.com/chapter/10.1007/978-3-031-16443-9_53
Seung Yeon Shin, …
Completed
1
Deep treatment response assessment and prediction of colorectal cancer liver metastases
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_46
Mohammad Mohaiminul Islam, …
Completed
1
Deep-learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals
https://link.springer.com/chapter/10.1007/978-3-031-16446-0_41
Yuning Gu, Yongsheng …
Completed
1
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_54
Lisha Yao, Yingda …
Completed
1
DeepMIF: Deep learning based cell profiling for multispectral immunofluorescence images with graphical user interface
https://link.springer.com/chapter/10.1007/978-3-031-16440-8_14
Yeman Brhane Hagos, …
Completed
1
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
https://link.springer.com/chapter/10.1007/978-3-031-16443-9_27
Negin Ghamsarian, Mario …
Completed
1
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method
https://link.springer.com/chapter/10.1007/978-3-031-16440-8_54
Qi Chang, Zhennan …
Completed
1
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration
https://link.springer.com/chapter/10.1007/978-3-031-16446-0_14
Jiashun Chen, Donghuan …
Completed
1
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network
https://link.springer.com/chapter/10.1007/978-3-031-16434-7_49
Haofeng Liu, Heng …
Completed
1
Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis
https://link.springer.com/chapter/10.1007/978-3-031-16449-1_65
Yi Zhou, Shaochen …
Completed
1
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation without Source Data
https://link.springer.com/chapter/10.1007/978-3-031-16443-9_21
Zhe Xu, Donghuan …
Completed
1
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
https://link.springer.com/chapter/10.1007/978-3-031-16437-8_28
Haibo Yang, Shengjie …
Completed
1