default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID27th MICCAI 2024: Marrakesh, Morocco - Part VIII
- Marius George Linguraru
, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15008, Springer 2024, ISBN 978-3-031-72110-6
Image Segmentation I
- Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-Guided Pathology Segmentation. 3-13 - Mahmoud Gamal, Marwa Baraka, Marwan Torki:
Automatic Mandibular Semantic Segmentation of Teeth Pulp Cavity and Root Canals, and Inferior Alveolar Nerve on Pulpy3D Dataset. 14-23 - Xian Lin, Yangyang Xiang, Li Yu, Zengqiang Yan:
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting. 24-34 - Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan:
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. 35-45 - Pengcheng Shi, Jiesi Hu, Yanwu Yang, Zilve Gao, Wei Liu, Ting Ma:
Centerline Boundary Dice Loss for Vascular Segmentation. 46-56 - Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz:
Class and Region-Adaptive Constraints for Network Calibration. 57-67 - Zhuotong Cai, Jingmin Xin, Tianyi Zeng, Siyuan Dong, Nanning Zheng, James S. Duncan:
Class-Aware Mutual Mixup with Triple Alignments for Semi-supervised Cross-Domain Segmentation. 68-79 - Wei Li, Jingyang Zhang, Pheng-Ann Heng, Lixu Gu:
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting. 80-90 - Jimut B. Pal, Suyash P. Awate:
Convex Segments for Convex Objects Using DNN Boundary Tracing and Graduated Optimization. 91-101 - Tingwei Liu, Miao Zhang, Leiye Liu, Jialong Zhong, Shuyao Wang, Yongri Piao, Huchuan Lu:
CriDiff: Criss-Cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation. 102-112 - Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos, Kyunghyun Sung:
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection. 113-123 - Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa R. Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu:
CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models. 124-134 - Reihaneh Teimouri, Marta Kersten-Oertel, Yiming Xiao:
CT-Based Brain Ventricle Segmentation via Diffusion Schrödinger Bridge without target domain ground truths. 135-144 - Chang Liu, Fuxin Fan, Annette Schwarz, Andreas K. Maier:
Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets. 145-154 - Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy:
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. 155-165 - Yingpeng Xie, Junlong Qu, Hai Xie, Tianfu Wang, Baiying Lei:
DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models. 166-176 - Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette:
Differentiable Soft Morphological Filters for Medical Image Segmentation. 177-187 - Wen Ji, Albert C. S. Chung:
Diffusion-Based Domain Adaptation for Medical Image Segmentation Using Stochastic Step Alignment. 188-198 - Qihang Xie, Dan Zhang, Lei Mou, Shanshan Wang, Yitian Zhao, Mengguo Guo, Jiong Zhang:
DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences. 199-208 - Fangqiang Xu, Wenxuan Tu, Fan Feng, Malitha Gunawardhana, Jiayuan Yang, Yun Gu, Jichao Zhao:
Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation. 209-219 - Ziyue Wang, Ye Zhang, Yifeng Wang, Linghan Cai, Yongbing Zhang:
Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation. 220-230 - Zhaoquan Hao, Hongyan Quan, Yinbin Lu:
EMF-Former: An Efficient and Memory-Friendly Transformer for Medical Image Segmentation. 231-241 - Shuchang Ye, Mingyuan Meng, Mingjian Li, David Dagan Feng, Jinman Kim:
Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. 242-252 - Chun-Mei Feng:
Enhancing Label-Efficient Medical Image Segmentation with Text-Guided Diffusion Models. 253-262 - Peyman Tahghighi, Yunyan Zhang, Roberto Souza, Amin Komeili:
Enhancing New Multiple Sclerosis Lesion Segmentation via Self-supervised Pre-training and Synthetic Lesion Integration. 263-272 - Xiangyu Zhao, Xi Ouyang, Lichi Zhang, Zhong Xue, Dinggang Shen:
Exploiting Latent Classes for Medical Image Segmentation from Partially Labeled Datasets. 273-282 - Yuxi Liu, Guibo Luo, Yuesheng Zhu:
FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation. 283-293 - Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. 294-304 - Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu:
FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. 305-315 - Jinpeng Lu, Jingyun Chen, Linghan Cai, Songhan Jiang, Yongbing Zhang:
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images. 316-327 - Jiahao Yu, Fan Duan, Li Chen:
I2Net: Exploiting Misaligned Contexts Orthogonally with Implicit-Parameterized Implicit Functions for Medical Image Segmentation. 328-338 - Ziyun Liang, Xiaoqing Guo, J. Alison Noble, Konstantinos Kamnitsas:
$\mathrm {IterMask^2}$: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI. 339-348 - Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen:
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. 349-359 - Jinhong Wang, Jintai Chen, Danny Ziyi Chen, Jian Wu:
[inline-graphic not available: see fulltext] LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation. 360-370 - Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin:
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. 371-381 - Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu:
Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation. 382-392 - Yixin Chen, Xiangxi Meng, Yan Wang, Shuang Zeng, Xi Liu, Zhaoheng Xie:
LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation. 393-402 - Hairong Shi, Songhao Han, Shaofei Huang, Yue Liao, Guanbin Li, Xiangxing Kong, Hua Zhu, Xiaomu Wang, Si Liu:
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation. 403-413 - Siyang Feng, Jiale Chen, Zhenbing Liu, Wentao Liu, Zimin Wang, Rushi Lan, Xipeng Pan:
Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning. 414-423 - Zhilin Zeng, Zelin Peng, Xiaokang Yang, Wei Shen:
Missing as Masking: Arbitrary Cross-Modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation. 424-433 - Haoyu Zhao, Wenhui Dong, Rui Yu, Zhou Zhao, Bo Du, Yongchao Xu:
MoreStyle: Relax Low-Frequency Constraint of Fourier-Based Image Reconstruction in Generalizable Medical Image Segmentation. 434-444 - Dongzhe Li, Baoyao Yang, Weide Zhan, Xiaochen He:
Multi-category Graph Reasoning for Multi-modal Brain Tumor Segmentation. 445-455 - Haichuan Dong, Runjie Zhou, Boxiang Yun, Huihui Zhou, Benyan Zhang, Qingli Li, Yan Wang:
Multi-stage Multi-granularity Focus-Tuned Learning Paradigm for Medical HSI Segmentation. 456-466 - Haiyang Yan, Hao Zhai, Jinyue Guo, Linlin Li, Hua Han:
NeuroLink: Bridging Weak Signals in Neuronal Imaging with Morphology Learning. 467-477 - Yifei Huang, Chuyun Shen, Wenhao Li, Xiangfeng Wang, Bo Jin, Haibin Cai:
Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning. 478-488 - Jianjun He, Chenyu Cai, Qiong Li, Andy J. Ma:
Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation. 489-499 - Jiansong Fan, Tianxu Lv, Yicheng Di, Lihua Li, Xiang Pan:
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images. 500-509 - Zhongxing Xu, Feilong Tang, Zhe Chen, Zheng Zhou, Weishan Wu, Yuyao Yang, Yu Liang, Jiyu Jiang, Xuyue Cai, Jionglong Su:
Polyp-Mamba: Polyp Segmentation with Visual Mamba. 510-521 - Xi Ouyang, Dongdong Gu, Xuejian Li, Wenqi Zhou, Qianqian Chen, Yiqiang Zhan, Xiang Sean Zhou, Feng Shi, Zhong Xue, Dinggang Shen:
Prompt-Based Segmentation Model of Anatomical Structures and Lesions in CT Images. 522-532 - Zhikai Wei, Wenhui Dong, Peilin Zhou, Yuliang Gu, Zhou Zhao, Yongchao Xu:
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. 533-543 - Jiaxing Chai, Zhiming Luo, Jianzhe Gao, Licun Dai, Yingxin Lai, Shaozi Li:
QueryNet: A Unified Framework for Accurate Polyp Segmentation and Detection. 544-554 - Hritam Basak, Zhaozheng Yin:
Quest for Clone: Test-Time Domain Adaptation for Medical Image Segmentation by Searching the Closest Clone in Latent Space. 555-566 - Bentao Song, Qingfeng Wang:
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image Segmentation. 567-577 - Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu:
SegMamba: Long-Range Sequential Modeling Mamba for 3D Medical Image Segmentation. 578-588 - Yanchao Zhang, Jinyue Guo, Hao Zhai, Jing Liu, Hua Han:
SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model. 589-600 - Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. 601-611 - Ruiyun Zhu, Masahiro Oda, Yuichiro Hayashi, Takayuki Kitasaka, Kensaku Mori:
Semi-supervised Tubular Structure Segmentation with Cross Geometry and Hausdorff Distance Consistency. 612-622 - Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Shortcut Learning in Medical Image Segmentation. 623-633 - Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen:
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues. 634-644 - Bastian Wittmann, Lukas Glandorf, Johannes C. Paetzold, Tamaz Amiranashvili, Thomas Wälchli, Daniel Razansky, Bjoern H. Menze:
Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images. 645-655 - Tianyu Lin, Zhiguang Chen, Zhonghao Yan, Weijiang Yu, Fudan Zheng:
Stable Diffusion Segmentation for Biomedical Images with Single-Step Reverse Process. 656-666 - Yixiao Guo, Yuru Pei, Si Chen, Zhi-bo Zhou, Tianmin Xu, Hongbin Zha:
Stochastic Anomaly Simulation for Maxilla Completion from Cone-Beam Computed Tomography. 667-677 - Fei Lyu, Jingwen Xu, Ye Zhu, Grace Lai-Hung Wong, Pong C. Yuen:
Superpixel-Guided Segment Anything Model for Liver Tumor Segmentation with Couinaud Segment Prompt. 678-688 - Szymon Plotka, Maciej Chrabaszcz, Przemyslaw Biecek:
Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation. 689-698 - Aibing Li, Xinyi Zeng, Pinxian Zeng, Sixian Ding, Peng Wang, Chengdi Wang, Yan Wang:
Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation. 699-709 - César Acebes, Abdel H. Moustafa, Oscar Camara, Adrian Galdran:
The Centerline-Cross Entropy Loss for Vessel-Like Structure Segmentation: Better Topology Consistency Without Sacrificing Accuracy. 710-720 - Alexander H. Berger, Laurin Lux, Nico Stucki, Vincent Bürgin, Suprosanna Shit, Anna Banaszak, Daniel Rueckert, Ulrich Bauer, Johannes C. Paetzold:
Topologically Faithful Multi-class Segmentation in Medical Images. 721-731 - Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li:
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. 732-742 - Wenxue Li, Xinyu Xiong, Peng Xia, Lie Ju, Zongyuan Ge:
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM. 743-753
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-18 19:37 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
