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3rd MMMI@MICCAI 2022: Singapore
- Xiang Li
, Jinglei Lv
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
$\mathrm {M^{2}F}$: 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
Visual Modalities Based Multimodal Fusion for Surgical Phase Recognition. 11-23 - Ruining Deng
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
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
Pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI. 63-75 - Abel A. Reyes
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
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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