MICCAI (Challenges)

Keyphrases

Publications

volume 12587, 2021

Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings MICCAI (Challenges) 12587 (2021)

2020

Huai Chen, Dahong Qian, Weiping Liu, Hui Li, Lisheng Wang
An Enhanced Coarse-to-Fine Framework for the Segmentation of Clinical Target Volume. MICCAI (Challenges) (2020)
Lasse Hansen, Mattias P. Heinrich
Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) (2020)
Nadya Shusharina, Thomas Bortfeld, Carlos Cardenas, Brian De, Kevin Diao, Soleil Hernandez, Yufei Liu, Sean Maroongroge, Jonas Söderberg, Moaaz Soliman
Cross-Modality Brain Structures Image Segmentation for the Radiotherapy Target Definition and Plan Optimization. MICCAI (Challenges) (2020)
Zhe Tang, Jianqiang Ma
Coarse to Fine Ensemble Network for Thyroid Nodule Segmentation. MICCAI (Challenges) (2020)
Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld
Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. MICCAI (Challenges) (2020)
Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. MICCAI (Challenges) (2020)
Constance Fourcade, Mathieu Rubeaux, Diana Mateus
Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg Challenge. MICCAI (Challenges) (2020)
Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. MICCAI (Challenges) (2020)
Huai Chen, Shaoli Song, Xiuying Wang, Renzhen Wang, Deyu Meng, Lisheng Wang
LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images. MICCAI (Challenges) (2020)
Marek Wodzinski
Multi-step, Learning-Based, Semi-supervised Image Registration Algorithm. MICCAI (Challenges) (2020)
Yiwen Zhang, Haoran Lai, Wei Yang
Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification. MICCAI (Challenges) (2020)
Xiaoyang Zou, Qi Dou
Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread. MICCAI (Challenges) (2020)
Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen
Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. MICCAI (Challenges) (2020)
Skylar S. Gay, Cenji Yu, Dong Joo Rhee, Carlos Sjogreen, Raymond P. Mumme, Callistus M. Nguyen, Tucker J. Netherton, Carlos E. Cárdenas S., Laurence E. Court
A Bi-directional, Multi-modality Framework for Segmentation of Brain Structures. MICCAI (Challenges) (2020)
Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch
Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) (2020)
Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. MICCAI (Challenges) (2020)
Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön
Learning a Deformable Registration Pyramid. MICCAI (Challenges) (2020)
Mingyu Wang, Chenglang Yuan, Dasheng Wu, Yinghou Zeng, Shaonan Zhong, Weibao Qiu
Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks. MICCAI (Challenges) (2020)
Tony C. W. Mok, Albert C. S. Chung
Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks. MICCAI (Challenges) (2020)