MICCAI 2021

2021 531 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 261 987 (±60) 90 (±20) 1,077 (±63)
Standard deviations shown in parentheses (±). Data reflects latest workflow run per paper.
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Title Authors Analysis Status Workflows Tokens Actions
Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image
https://doi.org/10.1007/978-3-030-87193-2_45
Ke Wang, Shujun …
Completed
1
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
https://doi.org/10.1007/978-3-030-87237-3_66
Maria Tirindelli, Christine …
Completed
1
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline
https://doi.org/10.1007/978-3-030-87240-3_33
Yinhao Ren, Jiafeng …
Completed
1
Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images
https://doi.org/10.1007/978-3-030-87231-1_44
Christophe Chênes, Jérôme …
Completed
1
Revisiting iterative highly efficient optimisation schemes in medical image registration
https://doi.org/10.1007/978-3-030-87202-1_20
Lasse Hansen, Mattias …
Completed
1
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
https://doi.org/10.1007/978-3-030-87193-2_58
Jiancheng Yang, Shixuan …
Completed
1
Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law
https://doi.org/10.1007/978-3-030-87231-1_33
Rosa Maza-Quiroga, Karl …
Completed
1
RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing
https://doi.org/10.1007/978-3-030-87231-1_18
Changyeop Shin, Hyun …
Completed
1
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network
https://doi.org/10.1007/978-3-030-87237-3_4
Sharif Amit Kamran, …
Completed
1
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation
https://doi.org/10.1007/978-3-030-87231-1_46
Hajar Emami, Ming …
Completed
1
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
https://doi.org/10.1007/978-3-030-87202-1_9
Fengze Liu, Ke …
Completed
1
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
https://doi.org/10.1007/978-3-030-87196-3_12
Xiaoman Zhang, Shixiang …
Completed
1
Scalable joint detection and segmentation of surgical instruments with weak supervision
https://doi.org/10.1007/978-3-030-87196-3_47
Ricardo Sanchez-Matilla, Maria …
Completed
1
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data
https://doi.org/10.1007/978-3-030-87199-4_41
Sebastian Pölsterl, Christina …
Completed
1
Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
https://doi.org/10.1007/978-3-030-87240-3_47
Yi Lin, Luyan …
Completed
1
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning
https://doi.org/10.1007/978-3-030-87196-3_2
Dani Kiyasseh, Albert …
Completed
1
SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images
https://doi.org/10.1007/978-3-030-87234-2_61
Karthik Gopinath, Christian …
Completed
1
Selective Learning from External Data for CT Image Segmentation
https://doi.org/10.1007/978-3-030-87193-2_40
Youyi Song, Lequan …
Completed
1
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
https://doi.org/10.1007/978-3-030-87231-1_20
Mingyuan Luo, Xin …
Completed
1
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
https://doi.org/10.1007/978-3-030-87234-2_8
Xi Ouyang, Jifei …
Completed
1
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
https://doi.org/10.1007/978-3-030-87196-3_13
Ruifei Zhang, Sishuo …
Completed
1
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
https://doi.org/10.1007/978-3-030-87202-1_22
Baoru Huang, Jian-Qing …
Completed
1
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
https://doi.org/10.1007/978-3-030-87231-1_37
Chen Hu, Cheng …
Completed
1
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
https://doi.org/10.1007/978-3-030-87234-2_63
Minh-Son To, Ian …
Completed
1
Self-Supervised Longitudinal Neighbourhood Embedding
https://doi.org/10.1007/978-3-030-87196-3_8
Jiahong Ouyang, Qingyu …
Completed
1