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2nd CMMCA@MICCAI 2023: Vancouver, BC, Canada
- Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li:
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14243, Springer 2023, ISBN 978-3-031-45086-0 - Wen Li, Yiming Shi
, Saikit Lam
Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study. 1-10 - Xiaozhou Shi, Youjian Zhang, Li Li, Yunxin Tang, Zezhou Li, Zhicheng Zhang
Label-Efficient Cross-Resolution Polyp Segmentation in Colonoscopy. 11-20 - Yifan Li
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. 21-30 - Zhimin He
The Value of Ensemble Learning Model Based on Conventional Non-Contrast MRI in the Pathological Grading of Cervical Cancer. 31-41 - Li Li, Yunxin Tang, Youjian Zhang, Zezhou Li, Guanqun Zhou, Haotian Zhou, Zhicheng Zhang
Federated Multi-organ Dynamic Attention Segmentation Network with Small CT Dataset. 42-50 - Ali Ghafouri
A 3D Inverse Solver for a Multi-species PDE Model of Glioblastoma Growth. 51-60 - Huajia Wang, Yinglan Kuang
Domain Knowledge Adapted Semi-supervised Learning with Mean-Teacher Strategy for Circulating Abnormal Cells Identification. 61-70 - Hongqiu Wang, Shichen Zhang, Xiangde Luo, Wenjun Liao, Lei Zhu:
Advancing Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing Source-Free Domain Adaptation in Nasopharyngeal Carcinoma. 71-80 - Zi-Hao Shang, Hong Liu, Kuansong Wang, Xiangdong Wang:
BM-SMIL: A Breast Cancer Molecular Subtype Prediction Framework from H&E Slides with Self-supervised Pretraining and Multi-instance Learning. 81-90 - Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang:
PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. 91-100 - Yuemei Li
Fully Convolutional Transformer-Based GAN for Cross-Modality CT to PET Image Synthesis. 101-109 - Ziqi Zhu, Jun Shi, Minfan Zhao, Zhaohui Wang, Liang Qiao, Hong An:
Contrast Learning Based Robust Framework for Weakly Supervised Medical Image Segmentation with Coarse Bounding Box Annotations. 110-119 - Qingsong Wang, Xin Lin, Ruiquan Ge, Ahmed Elazab, Xiangyang Hu, Jionghao Cheng, Yuqing Peng, Xiang Wan, Changmiao Wang:
MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration. 120-130 - Ruodai Wu, Yue Peng, Bing Xiong, Wenjian Qin, Songxiong Wu:
Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma. 131-139 - Boyun Zheng, Jiahui He
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation. 140-149 - Zongyou Cai, Yufeng Ye, Zhangnan Zhong, Haiwei Lin, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu
Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning. 150-159 - Ankita Joshi
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks. 160-170
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