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ORCID1st CMMCA@MICCAI 2022: Singapore
- Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang:
Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13574, Springer 2022, ISBN 978-3-031-17265-6 - Pingjun Chen
, Maliazurina B. Saad, Frank R. Rojas, Morteza Salehjahromi, Muhammad Aminu, Rukhmini Bandyopadhyay, Lingzhi Hong, Kingsley Ebare, Carmen Behrens, Don L. Gibbons, Neda Kalhor, John V. Heymach, Ignacio I. Wistuba, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu:
Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. 1-10 - Rukhmini Bandyopadhyay, Pingjun Chen, Siba El Hussein, Frank R. Rojas, Kingsley Ebare, Ignacio I. Wistuba, Luisa M. Solis Soto, L. Jeffrey Medeiros, Jianjun Zhang, Joseph D. Khoury, Jia Wu:
Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-Cell Lymphoma. 11-20 - Jiang Zhang, Saikit Lam, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Francis Kar-ho Lee, Kwok-hung Au, Celia Wai-yi Yip, Amy Tien Yee Chang, Lawrence Wing-Chi Chan, Victor Ho-fun Lee, Qingrong Jackie Wu, Jing Cai:
Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases. 21-34 - Baorong Shi, Xinyu Liu, Fa Zhang:
MLCN: Metric Learning Constrained Network for Whole Slide Image Classification with Bilinear Gated Attention Mechanism. 35-46 - Ahmad Obeid, Taslim Mahbub, Sajid Javed, Jorge Dias, Naoufel Werghi:
NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology Images. 47-57 - Menglei Jiao, Hong Liu, Zekang Yang, Shuai Tian, Hanqiang Ouyang, Yuan Li, Yuan Yuan, Jianfang Liu, Chunjie Wang, Ning Lang, Liang Jiang, Huishu Yuan, Yueliang Qian, Xiangdong Wang:
Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors. 58-67 - Gabriel Mejía, Natasha Bloch, Pablo Arbeláez:
CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis. 68-77 - Xiaoxi Pan, Hanyun Zhang, Anca-Ioana Grapa, Khalid AbdulJabbar, Shan-E-Ahmed Raza, Ho Kwan Alvin Cheung, Takahiro Karasaki, John Le Quesne, David A. Moore, Charles Swanton, Yinyin Yuan:
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns. 78-90 - Wanxing Xu, Yinglan Kuang, Lin Wang, Xueqing Wang, Qiaomei Guo, Xiaodan Ye, Yu Fu, Xiaozheng Yang, Jinglu Zhang, Xin Ye, Xing Lu, Jiatao Lou:
Modality-Collaborative AI Model Ensemble for Lung Cancer Early Diagnosis. 91-99 - Wei Wu, Zhonghang Zhu, Baptiste Magnier, Liansheng Wang:
Clustering-Based Multi-instance Learning Network for Whole Slide Image Classification. 100-109 - Jiayuan Zhu, Shujun Wang, Jinzheng He, Carola-Bibiane Schönlieb, Lequan Yu:
Multi-task Learning-Driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification. 110-120 - Yilong Li, Yaqi Wang, Le Dong, Juan Ye, Linyan Wang, Ruiquan Ge, Huiyu Zhou, Qianni Zhang:
Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM. 121-130 - Xinran Wu, Ming Cui, Yuhua Gao, Deyu Sun, He Ma, Erlei Zhang, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy. 131-140 - Songhui Diao, Luyu Tang, Jiahui He, Hanqing Zhao, Weiren Luo, Yaoqin Xie, Wenjian Qin:
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework. 141-149 - Yongqing Li, Wei Zhao:
Accurate Breast Tumor Identification Using Computational Ultrasound Image Features. 150-158
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