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会议文集


文集名Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation
会议名2024 International Challenge on Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation (FLARE 2024), Held in Conjunction with MICCAI 2024
中译名《2024年国际快速、低资源消耗、准确且鲁棒的器官与泛癌分割讨论会》
会议日期October 6, 2024
会议地点Marrakesh, Morocco
出版年2026
馆藏号357938


题名作者出版年
Crop and Segment: Efficient Whole Body Pan-Cancer SegmentationYinyin Luo; Yue Liu; Wenbin Liu; Jingheng Dai; Xunliang Xiao; Gang Fang2026
Efficient Whole-Body Tumor Segmentation with a 5.6M Parameter 3D U-NetZiyan Huang2026
Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation TaskXiaoyu Bai; Ziyang Chen; Shaoteng Zhang; Qin Liu; Xing Liu; Yong Xia2026
Pan-Cancer Segmentation in CT Scans Based on Dynamic Convolution with nnSAMRuikun Gao; Xinru Li; Jingyan Wang; Shaohua Zheng2026
Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-NetYannick Kirchhoff; Maximilian Rokuss; Benjamin Hamm; Ashis Ravindran; Constantin Ulrich; Klaus Maier-Hein; Fabian Isensee2026
Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator PromptXian Lin; Zhehao Wang; Caozhi Shang; Junjie Shi; Zengqiang Yan; Li Yu2026
Locate, Crop and Segment: Efficient Abdominal CT Image Segmentation on CPUYinyin Luo; Yue Liu; Wenbin Liu; Jingheng Dai; Xunliang Xiao; Gang Fang2026
CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ SegmentationZhehao Wang; Xian Lin; Junjie Shi; Caozhi Shang; Li Yu; Zengqiang Yan2026
Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ SegmentationYannick Kirchhoff; Ashis Ravindran; Maximilian Rokuss; Benjamin Hamm; Constantin Ulrich; Klaus Maier-Hein; Fabian Isensee2026
Lightweight Depthwise Separable U-Net for Laptop-Based Abdominal Multi-organ SegmentationHaiyan Cheng; Mengshi Tang; Yashuang Zhang; Ruixiang Lei; Mingjing Yang2026
A Highly Efficient Segmentation Method for Abdominal Multi-organs on LaptopJunchen Xiong; Pengju Lyu; Tingyi Lin; Kehan Song; Cheng Wang; Jianjun Zhu2026
Joint Unsupervised Domain Adaptation and Semi-supervised Learning for Multi-sequence MR Abdominal Organ SegmentationJiahui He; Lei Wu; Wenbin Liu; Zaiyi Liu; Gang Fang2026
Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ SegmentationZiyang Chen; Xiaoyu Bai; Zhisong Wang; Yiwen Ye; Yongsheng Pan; Yong Xia2026
A Novel Pseudo Label-Based Unsupervised Multiple Target Domain Adaptation Framework for Abdominal Organ SegmentationYuntao Zhu; Liwen Zou; Pengxu Wen; Ziwei Nie; Luying Gui; Xiaoping Yang2026
DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation LearningHui Lin; Florian Schiffers; Santiago Lopez-Tapia; Neda Tavakoli; Daniel Kim; Aggelos K. Katsaggelos2026
Unsupervised Domain Adaptive Segmentation with Single-Content Multi-style Generation and Simplified Pseudo-label SelectionXiao Luan; Zheng Zhang; Weiqiang Wang; Xiongfeng Huang; Yue Zeng2026
A 3D Unsupervised Domain Adaptation Framework Combining Style Translation and Self-training for Abdominal Organs SegmentationJiaxi Li; Qiang Chen; Haoyu Ding; Hongying Liu; Liang Wan2026
Unsupervised Domain Adaptation for Abdominal Organ Segmentation Using Pseudo Labels and Organ Attention CycleGANJianghao Wu; Guoning Zhang; Xiaoran Qi; Huamin Wang; Xinya Liu; Guotai Wang2026
Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND DescriptorsYannick Kirchhoff; Maximilian Rokuss; Benjamin Hamm; Ashis Ravindran; Constantin Ulrich; Klaus Maier-Hein; Fabian Isensee2026
Language-Guided Vision Model for Pan-Cancer Segmentation in Abdominal CT ScansHui Meng; Deqian Yang; Nianjiang Lv; Haochen Zhao; Yong Zhang2026



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