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ORCID3rd MMMI@MICCAI 2022: Singapore
- Xiang Li
, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li:
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13594, Springer 2022, ISBN 978-3-031-18813-8 - Zilin Lu, Mengkang Lu, Yong Xia:
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis. 1-10 - Bogyu Park, Hyeon-Gyu Chi, Bokyung Park, Jiwon Lee, Sunghyun Park, Woo Jin Hyung, Min-Kook Choi:
Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition. 11-23 - Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. 24-33 - Hao Yu, Jie Zhao, Li Zhang:
Vessel Segmentation via Link Prediction of Graph Neural Networks. 34-43 - Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang:
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. 44-53 - Yi-Qing Wang, Giovanni Palma:
Liver Segmentation Quality Control in Multi-sequence MR Studies. 54-62 - Hayato Itoh, Tao Hu, Masahiro Oda, Shinji Saiki, Koji Kamagata, Nobutaka Hattori, Shigeki Aoki, Kensaku Mori:
Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI. 63-75 - Abel A. Reyes, Paheding Sidike, Makarand Deo, Michel A. Audette:
Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. 76-88 - Xiang Xiang, Zihan Zhang, Xuehua Peng, Jianbo Shao:
Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study. 89-97 - Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L. Prince, Aaron Carass:
Coordinate Translator for Learning Deformable Medical Image Registration. 98-109 - Ramtin Mojtahedi, Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation. 110-120 - Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers:
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. 121-129
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