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ORCIDCell Segmentation Challenge @ NeurIPS 2022, New Orleans, LA, USA
- Jun Ma, Ronald Xie, Anubha Gupta, José Guilherme de Almeida, Gary D. Bader, Bo Wang:
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, Competitions in Neural Information Processing Systems, December 7, 2022, New Orleans, LA, USA. Proceedings of Machine Learning Research 212, PMLR 2022 - Binyu Zhang, Junhao Dong, Zhicheng Zhao, Zhu Meng, Fei Su:
MT2: Multi-task Mean Teacher for Semi-Supervised Cell Segmentation. 1-13 - Xinye Yang, Hao Chen:
Multi-modal Cell Segmentation based on U-Net++ and Attention Gate. 1-10 - Ming Xue:
Weakly Supervised Cell Instance Segmentation for Multi-Modality Microscopy. 1-8 - Wangkai Li, Zhaoyang Li, Rui Sun, Huayu Mai, Naisong Luo, Yuan Wang, Yuwen Pan, Guoxin Xiong, Huakai Lai, Zhiwei Xiong, Tianzhu Zhang:
MAUNet: Modality-Aware Anti-Ambiguity U-Net for Multi-Modality Cell Segmentation. 1-12 - Ziyue Wang, Zijie Fang, Yang Chen, Zexi Yang, Xinhao Liu, Yongbing Zhang:
Semi-Supervised Cell Instance Segmentation for Multi-Modality Microscope Images. 1-11 - Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
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Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images. 1-12 - Minh Nguyen Hai, Duong Le Huy, Nam Nguyen The, Truong Bui Nhat, Tuyen Dam Trong, Hanh Le Thi, Anh Nguyen Kha Ngoc, Kien Le Trung, Anh Nguyen Cong Hoang, Anh Nguyen Ngoc, Duong Nguyen Hai:
Sliding Window and Pseudo-labeling techniques for Cellular Segmentation. 1-10 - Haotian Lu, Jinghao Feng, Zelin Peng, Wei Shen:
Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline. 1-9 - Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, Siqi Liu, Haofeng Li:
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images. 1-10 - Kwanyoung Lee, Hyungjo Byun, Hyunjung Shim:
Cell Segmentation in Multi-modality High-Resolution Microscopy Images with Cellpose. 1-11 - Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. 1-16 - Sara Joubbi, Giorgio Ciano, Dario Cardamone, Giuseppe Maccari, Duccio Medini:
CrossCT: CNN and Transformer cross–teaching for multimodal image cell segmentation. 1-14 - Kaiwen Hu, Shengxuming Zhang, Zhijie Jia, Lechao Cheng, Zunlei Feng:
Cell Segmenter: A General Framework for Multi-modality Cell Segmentation. 1-12 - Xiaochen Cai, Hengxing Cai, Kele Xu, Wei-Wei Tu, Wu-Jun Li:
VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. 1-13 - Bizhe Bai, Jie Tian, Sicong Luo, Tao Wang, Sisuo Lyu:
YUSEG: Yolo and Unet is all you need for cell instance segmentation. 1-15
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