FLARE@MICCAI

Keyphrases

Publications

volume 14544, 2024

Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT - MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings FLARE@MICCAI 14544 (2024)

2023

Ruixiang Lei, Mingjing Yang
2.5D U-Net for Abdominal Multi-organ Segmentation. FLARE@MICCAI (2023)
Zengmin Zhang, Xiaomeng Duan, Yanjun Peng, Zhengyu Li
A Semi-supervised Abdominal Multi-organ Pan-Cancer Segmentation Framework with Knowledge Distillation and Multi-label Fusion. FLARE@MICCAI (2023)
Yuntao Zhu, Liwen Zou, Linyao Li, Pengxu Wen
Selected Partially Labeled Learning for Abdominal Organ and Pan-Cancer Segmentation. FLARE@MICCAI (2023)
Hanwen Zhang, Yongzhi Huang, Bingding Huang
Two-Stage Training for Abdominal Pan-Cancer Segmentation in Weak Label. FLARE@MICCAI (2023)
Qin Zhou, Peng Liu, Guoyan Zheng
Context-Aware Cutmix is All You Need for Universal Organ and Cancer Segmentation. FLARE@MICCAI (2023)
Yajun Wu, Ershuai Wang, Zhenzhou Shao
Fast Abdomen Organ and Tumor Segmentation with nn-UNet. FLARE@MICCAI (2023)
Peng An, Yurou Xu, Panpan Wu
Attention Mechanism-Based Deep Supervision Network for Abdominal Multi-organ Segmentation. FLARE@MICCAI (2023)
Zhiqiang Zhong, Rongxuan He, Deming Zhu, Mengqiu Tian, Songfeng Li
Multi-task Learning with Iterative Training in Hybrid Labeling Dataset for Semi-supervised Abdominal Multi-organ and Tumor Segmentation. FLARE@MICCAI (2023)
Aneesh Rangnekar, Jue Jiang, Harini Veeraraghavan
3D Swin Transformer for Partial Medical Auto Segmentation. FLARE@MICCAI (2023)
Chong Wang, Wen Dong, Rongjun Ge
Teacher-Student Semi-supervised Strategy for Abdominal CT Organ Segmentation. FLARE@MICCAI (2023)
He Li, Meng Han, Guotai Wang
Abdominal Organs and Pan-Cancer Segmentation Based on Self-supervised Pre-training and Self-training. FLARE@MICCAI (2023)
Pengju Lyu, Junchen Xiong, Wei Fang, Weifeng Zhang, Cheng Wang, Jianjun Zhu
Advancing Multi-organ and Pan-Cancer Segmentation in Abdominal CT Scans Through Scale-Aware and Self-attentive Modulation. FLARE@MICCAI (2023)
Tao Liu, Xukun Zhang, Minghao Han, Lihua Zhang
A Lightweight nnU-Net Combined with Target Adaptive Loss for Organs and Tumors Segmentation. FLARE@MICCAI (2023)
Shuo Wang, Yanjun Peng
Combine Synergetic Approach with Multi-scale Feature Fusion for Boosting Abdominal Multi-organ and Pan-Cancer Segmentation. FLARE@MICCAI (2023)
Jianwei Gao, Juan Xu, Honggao Fei, Dazhu Liang
A Two-Step Deep Learning Approach for Abdominal Organ Segmentation. FLARE@MICCAI (2023)
Youngbin Kong, Kwangtai Kim, Seoi Jeong, Kyu Eun Lee, Hyoun-Joong Kong
Multi-Organ and Pan-Cancer Segmentation Framework from Partially Labeled Abdominal CT Datasets: Fine and Swift nnU-Nets with Label Fusion. FLARE@MICCAI (2023)
Hui Meng, Haochen Zhao, Deqian Yang, Songping Wang, Zhenpeng Li
Coarse to Fine Segmentation Method Enables Accurate and Efficient Segmentation of Organs and Tumor in Abdominal CT. FLARE@MICCAI (2023)
Shoujin Huang, Huaishui Yang, Lifeng Mei, Tan Zhang, Shaojun Liu, Mengye Lyu
From Whole-Body to Abdomen: Streamlined Segmentation of Organs and Tumors via Semi-Supervised Learning and Efficient Coarse-to-Fine Inference. FLARE@MICCAI (2023)
Yanbin Chen, Zhicheng Wu, Hao Chen, Mingjing Yang
Conformer: A Parallel Segmentation Network Combining Swin Transformer and Convolutional Neutral Network. FLARE@MICCAI (2023)
Li Mao
Semi-supervised Two-Stage Abdominal Organ and Tumor Segmentation Model with Pseudo-labeling. FLARE@MICCAI (2023)
Zhiyu Ye, Hairong Zheng, Tong Zhang
Partial-Labeled Abdominal Organ and Cancer Segmentation via Cascaded Dual-Decoding U-Net. FLARE@MICCAI (2023)
JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang
AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation. FLARE@MICCAI (2023)
Ziyan Huang, Jin Ye, Haoyu Wang, Zhongying Deng, Tianbin Li, Junjun He
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation. FLARE@MICCAI (2023)
Xinye Yang, Xuru Zhang, Xiaochao Yan, Wangbin Ding, Hao Chen, Liqin Huang
Abdomen Multi-organ Segmentation Using Pseudo Labels and Two-Stage. FLARE@MICCAI (2023)
Ziran Chen, Taiyu Han, Xueqiang Zeng, Guangtao Huang, Huihui Yang, Yan Kang
Semi-supervised Abdominal Organ and Pan-Cancer Segmentation with Efficient nnU-Net. FLARE@MICCAI (2023)
Tao Wang, Xiaoling Zhang, Wei Xiong, Shuoling Zhou, Xinyue Zhang
Semi-Supervised Learning Based Cascaded Pocket U-Net for Organ and Pan-Cancer Segmentation in Abdomen CT. FLARE@MICCAI (2023)
Wentao Liu, Tong Tian, Weijin Xu, Lemeng Wang, Haoyuan Li, Huihua Yang
Two-Stage Hybrid Supervision Framework for Fast, Low-Resource, and Accurate Organ and Pan-Cancer Segmentation in Abdomen CT. FLARE@MICCAI (2023)

2022

volume 13816, 2022

Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings FLARE@MICCAI 13816 (2022)