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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part IX
- 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 IX. Lecture Notes in Computer Science 15009, Springer 2024, ISBN 978-3-031-72113-7
Image Segmentation II
- Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane:
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. 3-12 - Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang:
A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. 13-22 - Shurong Chai, Rahul Kumar Jain, Shaocong Mo, Jiaqing Liu, Yulin Yang, Yinhao Li, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen:
A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. 23-33 - Philip Novosad, Richard A. D. Carano, Anitha Priya Krishnan:
A Task-Conditional Mixture-of-Experts Model for Missing Modality Segmentation. 34-43 - Jianguo Ju, Shumin Ren, Dandan Qiu, Huijuan Tu, Juanjuan Yin, Pengfei Xu, Ziyu Guan:
A Weakly-Supervised Multi-lesion Segmentation Framework Based on Target-Level Incomplete Annotations. 44-53 - Xinyi Zeng, Pinxian Zeng, Jiaqi Cui, Aibing Li, Bo Liu, Chengdi Wang, Yan Wang:
ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation. 54-64 - Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. 65-74 - Hongqiu Wang, Xiangde Luo, Wu Chen, Qingqing Tang, Mei Xin, Qiong Wang, Lei Zhu:
Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-center Dataset. 75-85 - Xuan Yang, Lingyu Chen, Yuchao Zheng, Longfei Ma, Fang Chen, Guochen Ning, Hongen Liao:
Airway Segmentation Based on Topological Structure Enhancement Using Multi-task Learning. 86-95 - Hasnae Zerouaoui, Gbenga Peter Oderinde, Rida Lefdali, Karima Echihabi, Stephen Peter Akpulu, Nosereme Abel Agbon, Abraham Sunday Musa, Yousef Yeganeh, Azade Farshad, Nassir Navab:
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. 96-106 - Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang:
An Uncertainty-Guided Tiered Self-training Framework for Active Source-Free Domain Adaptation in Prostate Segmentation. 107-117 - Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han:
ASPS: Augmented Segment Anything Model for Polyp Segmentation. 118-128 - Jinge Wang, Guilin Chen, Xuefeng Wang, Nan Wu, Terry Jianguo Zhang:
Automated Robust Muscle Segmentation in Multi-level Contexts Using a Probabilistic Inference Framework. 129-138 - Theodore Barfoot, Luis C. García-Peraza-Herrera, Ben Glocker, Tom Vercauteren:
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation. 139-149 - Yilin Guo, Qingling Cai:
BGDiffSeg: A Fast Diffusion Model for Skin Lesion Segmentation via Boundary Enhancement and Global Recognition Guidance. 150-159 - Hengxin Liu, Qiang Li, Weizhi Nie, Zibo Xu, Anan Liu:
Causal Intervention for Brain Tumor Segmentation. 160-170 - Ilyas Sirazitdinov, Dmitry V. Dylov:
Centerline-Diameters Data Structure for Interactive Segmentation of Tube-Shaped Objects. 171-180 - Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains. 181-191 - Yunpeng Guo, Xinyi Zeng, Pinxian Zeng, Yuchen Fei, Lu Wen, Jiliu Zhou, Yan Wang:
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia. 192-201 - Behzad Hejrati, Soumyanil Banerjee, Carri Glide-Hurst, Ming Dong:
Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation. 202-212 - Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Donghyun Kim:
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. 213-222 - Lina Huang, Yixiong Liang, Jianfeng Liu:
DES-SAM: Distillation-Enhanced Semantic SAM for Cervical Nuclear Segmentation with Box Annotation. 223-234 - Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin:
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. 235-244 - Shudong Wang, Xue Zhao, Yulin Zhang, Yawu Zhao, Zhiyuan Zhao, Hengtao Ding, Tianxing Chen, Sibo Qiao:
DPMNet : Dual-Path MLP-Based Network for Aneurysm Image Segmentation. 245-254 - Chenwei Wu, David S. Restrepo, Zitao Shuai, Zhongming Liu, Liyue Shen:
Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection. 255-265 - Ao Chang, Jiajun Zeng, Ruobing Huang, Dong Ni:
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation. 266-275 - Xueyu Liu, Guangze Shi, Rui Wang, Yexin Lai, Jianan Zhang, Lele Sun, Quan Yang, Yongfei Wu, Ming Li, Weixia Han, Wen Zheng:
Feature-Prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation. 276-285 - Meng Zheng, Benjamin Planche, Zhongpai Gao, Terrence Chen, Richard J. Radke, Ziyan Wu:
Few-Shot 3D Volumetric Segmentation with Multi-surrogate Fusion. 286-296 - Sheng Zhang, Yang Nan, Yingying Fang, Shiyi Wang, Xiaodan Xing, Zhifan Gao, Guang Yang:
Fuzzy Attention-Based Border Rendering Network for Lung Organ Segmentation. 297-307 - Gasper Podobnik, Tomaz Vrtovec:
HDilemma: Are Open-Source Hausdorff Distance Implementations Equivalent? 308-317 - Xiang Pan, Shiyun Nie, Tianxu Lv, Lihua Li:
Hemodynamic-Driven Multi-prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI. 318-327 - Ziyuan Ding, Yixiong Liang, Shichao Kan, Qing Liu:
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation. 328-338 - Samuel Joutard, Maximilian Pietsch, Raphael Prevost:
HyperSpace: Hypernetworks for Spacing-Adaptive Image Segmentation. 339-349 - Aaron Kujawa, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren:
Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation. 350-360 - Jiahao Xu, Lyuyang Tong:
LB-UNet: A Lightweight Boundary-Assisted UNet for Skin Lesion Segmentation. 361-371 - Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. 372-382 - Isabella Poles, Marco D. Santambrogio, Eleonora D'Arnese:
Letting Osteocytes Teach SR-MicroCT Bone Lacunae Segmentation: A Feature Variation Distillation Method via Diffusion Denoising. 383-393 - Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan:
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. 394-404 - Anglin Liu, Dengqiang Jia, Kaicong Sun, Runqi Meng, Meixin Zhao, Yongluo Jiang, Zhijian Dong, Yaozong Gao, Dinggang Shen:
LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. 405-414 - Yidong Zhao, Yi Zhang, Orlando P. Simonetti, Yuchi Han, Qian Tao:
Lost in Tracking: Uncertainty-Guided Cardiac Cine MRI Segmentation at Right Ventricle Base. 415-424 - Xu Zhang, Bo Ni, Yang Yang, Lefei Zhang:
MAdapter: A Better Interaction Between Image and Language for Medical Image Segmentation. 425-434 - Qiang Qiao, Wenyu Wang, Meixia Qu, Kun Su, Bin Jiang, Qiang Guo:
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis. 435-445 - Pengju Lyu, Jie Zhang, Lei Zhang, Wenjian Liu, Cheng Wang, Jianjun Zhu:
MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-organ Segmentation. 446-455 - Ke Zhang, Vishal M. Patel:
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk Across Tasks for Few-Scribble Based Cardiac Segmentation. 456-466 - Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu:
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. 467-477 - Ricky Walsh, Malo Gaubert, Cédric Meurée, Burhan Rashid Hussein, Anne Kerbrat, Romain Casey, Benoît Combès, Francesca Galassi:
Multi-Sequence Learning for Multiple Sclerosis Lesion Segmentation in Spinal Cord MRI. 478-487 - Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. 488-498 - Jintong Hu, Siyan Chen, Zhiyi Pan, Sen Zeng, Wenming Yang:
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields. 499-509 - Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. 510-520 - Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. 521-530 - Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang:
Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases. 531-541 - Bishal R. Swain, Kyung Joo Cheoi, Jaepil Ko:
SAM Guided Task-Specific Enhanced Nuclei Segmentation in Digital Pathology. 542-551 - Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. 552-561 - Ying He, Marc E. Miquel, Qianni Zhang:
SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation. 562-571 - Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka, Marcin Kostur:
Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. 572-581 - Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. 582-592 - Trung Dinh Quoc Dang, Huy Hoang Nguyen, Aleksei Tiulpin:
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression. 593-603 - Yaxiong Chen, Yujie Wang, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou:
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation. 604-614 - Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang:
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. 615-625 - Junren Chen, Rui Chen, Wei Wang, Junlong Cheng, Lei Zhang, Liangyin Chen:
TinyU-Net: Lighter Yet Better U-Net with Cascaded Multi-receptive Fields. 626-635 - Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li:
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. 636-646 - Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim:
Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. 647-658 - Hee Guan Khor, Xin Yang, Yihua Sun, Jie Wang, Sijuan Huang, Shaobin Wang, Bai Lu, Longfei Ma, Hongen Liao:
Unified Prompt-Visual Interactive Segmentation of Clinical Target Volume in CT for Nasopharyngeal Carcinoma with Prior Anatomical Information. 659-669 - Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. 670-680 - Mingxuan Gu, Mareike Thies, Siyuan Mei, Fabian Wagner, Mingcheng Fan, Yipeng Sun, Zhaoya Pan, Sulaiman Vesal, Ronak Kosti, Dennis Possart, Jonas Utz, Andreas K. Maier:
Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation. 681-691 - Lei Li, Sheng Lian, Zhiming Luo, Beizhan Wang, Shaozi Li:
VCLIPSeg: Voxel-Wise CLIP-Enhanced Model for Semi-supervised Medical Image Segmentation. 692-701 - Phuoc-Nguyen Bui, Duc-Tai Le, Hyunseung Choo:
Visual-Textual Matching Attention for Lesion Segmentation in Chest Images. 702-711 - Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal:
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks. 712-722 - Haoyu Wang, Kehan Li, Jihua Zhu, Fan Wang, Chunfeng Lian, Jianhua Ma:
Weakly Supervised Tooth Instance Segmentation on 3D Dental Models with Multi-label Learning. 723-733
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