CMMCA@MICCAI

Publications

2023

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. CMMCA@MICCAI (2023)
Zhimin He, Fajin Lv, Chengwei Li, Yang Liu, Zhibo Xiao
The Value of Ensemble Learning Model Based on Conventional Non-Contrast MRI in the Pathological Grading of Cervical Cancer. CMMCA@MICCAI (2023)
Ankita Joshi, Yi Hong
MetaRegNet: Metamorphic Image Registration Using Flow-Driven Residual Networks. CMMCA@MICCAI (2023)
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. CMMCA@MICCAI (2023)
Huajia Wang, Yinglan Kuang, Xianjun Fan, Yanling Zhou, Xin Ye, Xing Lu
Domain Knowledge Adapted Semi-supervised Learning with Mean-Teacher Strategy for Circulating Abnormal Cells Identification. CMMCA@MICCAI (2023)
Boyun Zheng, Jiahui He, Jiuhe Zhu, Yaoqin Xie, Nazar Zaki, Wenjian Qin
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation. CMMCA@MICCAI (2023)
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. CMMCA@MICCAI (2023)
Ali Ghafouri, George Biros
A 3D Inverse Solver for a Multi-species PDE Model of Glioblastoma Growth. CMMCA@MICCAI (2023)
Zongyou Cai, Yufeng Ye, Zhangnan Zhong, Haiwei Lin, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Hanwei Chen, Bingsheng Huang
Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning. CMMCA@MICCAI (2023)
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. CMMCA@MICCAI (2023)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI (2023)
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. CMMCA@MICCAI (2023)
Yuemei Li, Qiang Zheng, Yi Wang, Yongkang Zhou, Yang Zhang, Yipeng Song, Wei Jiang
Fully Convolutional Transformer-Based GAN for Cross-Modality CT to PET Image Synthesis. CMMCA@MICCAI (2023)
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. CMMCA@MICCAI (2023)
Xiaozhou Shi, Youjian Zhang, Li Li, Yunxin Tang, Zezhou Li, Zhicheng Zhang
Label-Efficient Cross-Resolution Polyp Segmentation in Colonoscopy. CMMCA@MICCAI (2023)
Zhe Xiong, Qiaoqiao Ding, Yuzhong Zhao, Xiaoqun Zhang
PET-3DFlow: A Normalizing Flow Based Method for 3D PET Anomaly Detection. CMMCA@MICCAI (2023)
Wen Li, Yiming Shi, Saikit Lam, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Tian Li, Shaohua Zhi, Bernie Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai
Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study. CMMCA@MICCAI (2023)

volume 14243, 2023

Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings CMMCA@MICCAI 14243 (2023)

2022

volume 13574, 2022

Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings CMMCA@MICCAI 13574 (2022)