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ORCIDCuRIOUS/KiPA/MELA@MICCAI 2022: Singapore
- Yiming Xiao
, Guanyu Yang, Shuang Song:
Lesion Segmentation in Surgical and Diagnostic Applications - MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13648, Springer 2023, ISBN 978-3-031-27323-0
Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022)
- Xin Weng, Zuquan Hu, Fan Yang:
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA Images. 3-8 - Shishuai Hu, Zehui Liao, Yiwen Ye, Yong Xia:
Boundary-Aware Network for Kidney Parsing. 9-17 - Yusheng Liu, Zhongchen Zhao, Lisheng Wang:
A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentation. 18-26 - Zhenyu Bu, Kaini Wang, Guangquan Zhou:
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation. 27-35 - Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko:
Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment. 36-42 - David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár:
Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. 43-51
The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022)
- Abdul Qayyum, Moona Mazher, Steven A. Niederer, Imran Razzak:
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision. 55-62 - Alistair Weld, Arjun Agrawal, Stamatia Giannarou:
Ultrasound Segmentation Using a 2D UNet with Bayesian Volumetric Support. 63-68 - Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net. 69-75
The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022)
- Michael Baumgartner, Peter M. Full, Klaus H. Maier-Hein:
Accurate Detection of Mediastinal Lesions with nnDetection. 79-85
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