Abstract is missing.
- Cross-Modality Brain Structures Image Segmentation for the Radiotherapy Target Definition and Plan OptimizationNadya Shusharina, Thomas Bortfeld, Carlos Cardenas, Brian De, Kevin Diao, Soleil Hernandez, Yufei Liu, Sean Maroongroge, Jonas Söderberg, Moaaz Soliman. 3-15 [doi]
- Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer SpreadXiaoyang Zou, Qi Dou. 16-26 [doi]
- Ensembled ResUnet for Anatomical Brain Barriers SegmentationMunan Ning, Cheng Bian, Chenglang Yuan, Kai Ma 0002, Yefeng Zheng. 27-33 [doi]
- An Enhanced Coarse-to-Fine Framework for the Segmentation of Clinical Target VolumeHuai Chen, Dahong Qian, Weiping Liu, Hui Li, Lisheng Wang. 34-39 [doi]
- Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume DefinitionMarco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld. 40-48 [doi]
- A Bi-directional, Multi-modality Framework for Segmentation of Brain StructuresSkylar 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. 49-57 [doi]
- Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid NetworksTony C. W. Mok, Albert C. S. Chung. 61-67 [doi]
- Discrete Unsupervised 3D Registration Methods for the Learn2Reg ChallengeLasse Hansen, Mattias P. Heinrich. 68-73 [doi]
- Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg ChallengeStephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange. 74-79 [doi]
- Learning a Deformable Registration PyramidNiklas Gunnarsson, Jens Sjölund, Thomas B. Schön. 80-86 [doi]
- Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation LabelsThéo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch. 87-93 [doi]
- Multi-step, Learning-Based, Semi-supervised Image Registration AlgorithmMarek Wodzinski. 94-99 [doi]
- Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg ChallengeConstance Fourcade, Mathieu Rubeaux, Diana Mateus. 100-105 [doi]
- Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural NetworksMingyu Wang, Chenglang Yuan, DaSheng Wu, Yinghou Zeng, Shaonan Zhong, Weibao Qiu. 109-115 [doi]
- LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound ImagesHuai Chen, Shaoli Song, Xiuying Wang, Renzhen Wang, Deyu Meng, Lisheng Wang. 116-121 [doi]
- Coarse to Fine Ensemble Network for Thyroid Nodule SegmentationZhe Tang, Jianqiang Ma. 122-128 [doi]
- Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant ClassificationYiwen Zhang, Haoran Lai, Wei Yang. 129-134 [doi]
- Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative LocalizationJintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen. 135-144 [doi]
- Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound ImagesXueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen. 145-154 [doi]